-
Comprehensive review of composition, properties, clinical applications, and future perspectives of calcium-enriched mixture (CEM) cement: a systematic analysis BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-18 Saeed Asgary, Mahtab Aram, Mahta Fazlyab
This review aims to comprehensively explore calcium-enriched mixture (CEM) cement as a crucial biomaterial in dentistry/endodontics. With its growing clinical relevance, there is a need to evaluate its composition, chemical/physical/biological properties, clinical applications, and future perspectives to provide clinicians/researchers with a detailed understanding of its potential in endodontic procedures
-
The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-12 Ying Wang, MengXing Wang, Mingyuan Yuan, Wenxian Peng
Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The anomalous origin of the coronary artery may lead to problems such as narrowing of the coronary arteries at the beginning of the coronary arteries and abnormal alignment, which may lead to myocardial ischemia due to the compression of the coronary arteries. Clinical symptoms include chest tightness and dyspnea, with
-
In vivo video microscopy of the rupturing process of thin blood vessels to clarify the mechanism of bruising caused by blunt impact: an animal study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-11 Tatsuo Fujikawa, Yoji Yamada
The thresholds of mechanical inputs for bruising caused by blunt impact are important in the fields of machine safety and forensics. However, reliable data on these thresholds remain inadequate owing to a lack of in vivo experiments, which are crucial for investigating the occurrence of bruising. Since experiments involving live human participants are limited owing to ethical concerns, finite-element
-
Ferroptosis in radiation-induced brain injury: roles and clinical implications BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-11 Lifang Li, Xia Liu, Chunfeng Han, Licheng Tian, Yongzhi Wang, Baolin Han
Radiation-induced brain injury (RBI) presents a significant challenge for patients undergoing radiation therapy for head, neck, and intracranial tumors. This review aims to elucidate the role of ferroptosis in RBI and its therapeutic implications. Specifically, we explore how ferroptosis can enhance the sensitivity of tumor cells to radiation while also examining strategies to mitigate radiation-induced
-
Tissue engineering strategies hold promise for the repair of articular cartilage injury BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-11 Chenhui Yang, Rongjin Chen, Changshun Chen, Fei Yang, Hefang Xiao, Bin Geng, Yayi Xia
Articular cartilage damage and wear can result in cartilage degeneration, ultimately culminating in osteoarthritis. Current surgical interventions offer limited capacity for cartilage tissue regeneration and offer only temporary alleviation of symptoms. Tissue engineering strategies are increasingly recognized as promising modalities for cartilage restoration. Currently, various biological scaffolds
-
A personalized clinical assessment: multi-sensor approach for understanding musculoskeletal health in the frail population BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-09-09 R. Re, A. Scano, O. Amata, L. Spinelli, A. Tomba, C. Brambilla, A. Frizziero, A. V. Caserta, R. Cubeddu, A. Torricelli, D. Contini
Sarcopenia is a muscle disorder causing a progressive reduction of muscle mass and strength, but the mechanism of its manifestation is still partially unknown. The three main parameters to assess are: muscle strength, muscle volume or quality and low physical performance. There is not a definitive approach to assess the musculoskeletal condition of frail population and often the available tests to
-
Deep learning for the harmonization of structural MRI scans: a survey BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-31 Soolmaz Abbasi, Haoyu Lan, Jeiran Choupan, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino Varghese
Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources. Image harmonization is a critical step to mitigate the effects of factors like inherent differences between various vendors, hardware upgrades, protocol changes, and scanner
-
Development of a patient-specific model of the human coronary system for percutaneous transluminal coronary angioplasty balloon catheter training and testing BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-30 C. Amstutz, M. Ilic, N. Fontaine, L. Siegenthaler, J. Illi, A. Haeberlin, A. Zurbuchen, J. Burger
To treat stenosed coronary arteries, percutaneous transluminal coronary angioplasty (PTCA) balloon catheters must combine pushability, trackability, crossability, and rewrap behavior. The existing anatomic track model (ASTM F2394) for catheter testing lacks 3D morphology, vessel tortuosity, and compliance, making evaluating performance characteristics difficult. This study aimed to develop a three-dimensional
-
Impact of stroma remodeling on forces experienced by cancer cells and stromal cells within a pancreatic tumor tissue BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-30 Morgan Connaughton, Mahsa Dabagh
Remodeling (re-engineering) of a tumor’s stroma has been shown to improve the efficacy of anti-tumor therapies, without destroying the stroma. Even though it still remains unclear which stromal component/-s and what characteristics hinder the reach of nanoparticles deep into cancer cells, we hypothesis that mechanisms behind stroma’s resistance to the penetration of nanoparticles rely heavily on extrinsic
-
Implantable antennas for biomedical applications: a systematic review BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-29 Archana Mohan, Niraj Kumar
This review presents an in-depth examination of implantable antennas for various biomedical purposes. The development of implantable antennas, including their designs, materials, and operating principles, are introduced at the beginning of the discussion. An overview of the many kinds of implantable antennas utilized in implantable medical devices (IMDs) are presented in this study. The article then
-
Effects of multiple protection model in the operating room on physiological stress and risk events in patients undergoing coronary artery stent implantation BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-28 Qiaoli Wang, Jinfu Zhu
To analyze the impact of multiple protection model in the operating room on patients’ physiological stress and risk events after coronary artery stent implantation (CASI). During October 2021 to October 2022, 150 patients with coronary heart disease (CHD) were picked as the research subjects, all of whom underwent CASI. The clinical data were retrospectively analyzed, and the patients were divided
-
Modeling of the native knee with kinematic data derived from experiments using the VIVO™ joint simulator: a feasibility study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-23 Paul Henke, Johanna Meier, Leo Ruehrmund, Saskia A. Brendle, Sven Krueger, Thomas M. Grupp, Christoph Lutter, Christoph Woernle, Rainer Bader, Maeruan Kebbach
Despite advances in total knee arthroplasty, many patients are still unsatisfied with the functional outcome. Multibody simulations enable a more efficient exploration of independent variables compared to experimental studies. However, to what extent numerical models can fully reproduce knee joint kinematics is still unclear. Hence, models must be validated with different test scenarios before being
-
Super-resolution reconstruction for early cervical cancer magnetic resonance imaging based on deep learning BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-22 Chunxia Chen, Liu Xiong, Yongping Lin, Ming Li, Zhiyu Song, Jialin Su, Wenting Cao
This study aims to develop a super-resolution (SR) algorithm tailored specifically for enhancing the image quality and resolution of early cervical cancer (CC) magnetic resonance imaging (MRI) images. The proposed method is subjected to both qualitative and quantitative analyses, thoroughly investigating its performance across various upscaling factors and assessing its impact on medical image segmentation
-
Predictors of flatfoot in 11–12-year olds: a longitudinal cohort study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-21 Tomoko Yamashita, Mitsuru Sato, Shingo Ata, Kazuhiko Yamashita
The structures around the navicular bones, which constitute the medial longitudinal arch, develop by 10 years of age. While navicular bone height is often emphasized in the assessment of flatfoot, three-dimensional (3D) evaluations, including those of structural parameters during inversion, have rarely been investigated. If the development of flatfoot during the growth process could be predicted, appropriate
-
Evaluation of left ventricular systolic function in patients with iron deficiency anemia based on non-invasive left ventricular pressure–strain loops BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-17 Xiuxiu Cui, Meng Jing, Liyuan Ren, Xuanning Hou, Qingfei Song, Kefeng Li, Xiaoyan Wang
Iron deficiency anemia (IDA) is a common health problem worldwide. The objective of this study was to noninvasively and quantitatively evaluate early changes in left ventricular systolic function in patients with IDA using the left ventricular press–strain loop (LV-PSL). Sixty-two patients with IDA were selected and divided into two groups based on hemoglobin (Hb) concentration: Group B with Hb > 9 g/dL
-
A nomogram and risk stratification system for predicting survival in T1-2N0-1 breast cancer patients with liver metastasis in females: a population-based study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-12 Kaiyue Wang, Lu Shen, Yiding Chen, Zhe Tang
Liver was one of the most common distant metastatic sites in breast cancer. Patients with distant metastasis were identified as American Joint Committee on Cancer (AJCC) stage IV indicating poor prognosis. However, few studies have predicted the survival in females with T1-2N0-1 breast cancer who developed liver metastasis. This study aimed to explore the clinical features of these patients and establish
-
The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-08 Lening Li, Man-Sang Wong
Predicting curve progression during the initial visit is pivotal in the disease management of patients with adolescent idiopathic scoliosis (AIS)—identifying patients at high risk of progression is essential for timely and proactive interventions. Both radiological and clinical factors have been investigated as predictors of curve progression. With the evolution of machine learning technologies, the
-
Analysis of angiographic findings and short-term recurrence factors in patients presenting with hemoptysis BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-07 Wei Fan, Huling Su, Yaowen Chang, Wenhui Wang
The abnormal anatomical alterations of blood vessels during DSA angiography in patients with hematological disorders were retrospectively examined, and the influencing factors of short-term (≤ 6 months) recurrent hemoptysis were statistically analyzed, and the consistency between admission diagnosis and intraoperative diagnosis was evaluated. The intraoperative angiography data of patients who underwent
-
Long-term inhaling ultrafine zinc particles increases cardiac wall stresses elevated by myocardial infarction BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-05 Songyu Wang, Haifang Wang, Li Li, Pei Niu, Zhongjie Yin, Yunlong Huo
The analysis of cardiac wall mechanics is of importance for understanding coronary heart diseases (CHD). The inhalation of ultrafine particles could deteriorate CHD. The aim of the study is to investigate the effects of cardiac wall mechanics on rats of myocardial infarction (MI) after long-term inhalation of ultrafine Zn particles. Cardiac wall stresses and strains were computed, based on echocardiographic
-
Improving cardiovascular risk prediction with machine learning: a focus on perivascular adipose tissue characteristics BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-08-05 Cong He, Fangye Wu, Linfeng Fu, Lingting Kong, Zefeng Lu, Yingpeng Qi, Hongwei Xu
Timely prevention of major adverse cardiovascular events (MACEs) is imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose tissue (PVAT), the adipose tissue surrounding coronary arteries, has attracted increased amounts of attention. Developing a model for predicting the incidence of MACE utilizing machine learning (ML) integrating clinical and PVAT features may facilitate
-
Attention-enhanced dilated convolution for Parkinson’s disease detection using transcranial sonography BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-31 Shuang Chen, Yuting Shi, Linlin Wan, Jing Liu, Yongyan Wan, Hong Jiang, Rong Qiu
Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson's disease. However, the intricate nature of TCS pathological features, the lack of consistent diagnostic criteria, and the dependence on physicians' expertise can hinder accurate diagnosis. Current TCS-based diagnostic methods, which rely on machine learning, often involve complex feature engineering and may struggle to capture
-
Wound healing induced by new synthetic peptide, A7-1, in C57BL/6 mouse model BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-29 Gyu Sik Jung, Taehwan Park, JeongYeop Ryu, Joon Seok Lee, Jung Dug Yang, Ho Yun Chung, Kang Young Choi
The effects of the novel synthetic peptide, A7-1, on wound healing and skin grafts were evaluated in a C57BL/6 mouse model. Two 15-mm wide circular skin excisions were made on the backs of mice and to each excision, 100 µM A7-1 or normal saline was applied daily. The treatments were applied and sutured for skin graft analysis. Digital photos were acquired on days 4, 7, 11, and 14 and fluorescein angiography
-
Muscle synergy and kinematic synergy analyses during sit-to-stand motions in hallux valgus patients before and after treatment with Kinesio taping BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-27 Ruiping Liu, Yanyan Liu, Lihua Zhou, Lei Qian, Chunyan Chen, Xinzhu Wan, Yining Wang, Wanqi Yu, Gang Liu, Jun Ouyang
To explore the impact of hallux valgus (HV) on lower limb neuromuscular control strategies during the sit-to-stand (STS) movement, and to evaluate the effects of Kinesio taping (KT) intervention on these control strategies in HV patients. We included 14 young healthy controls (HY), 13 patients in the HV group (HV), and 11 patients in the HV group (HVI) who underwent a Kinesio taping (KT) intervention
-
A glaucoma micro-stent with diverging channel and stepped shaft structure based on microfluidic template processing technology BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-27 Chen Wang, Fule Wang, Yunru Liao, Chengguo Zuo, Mingkai Lin, Kemin Wang, Dongni Ren, Hongbo Zhang, Ruixue Yin
Minimally invasive glaucoma surgery (MIGS) has experienced a surge in popularity in recent years. Glaucoma micro-stents serve as the foundation for these minimally invasive procedures. Nevertheless, the utilization of these stents still presents certain short-term and long-term complications. This study aims to elucidate the creation of a novel drainage stent implant featuring a diverging channel,
-
Applications of nanotechnology in orthodontics: a comprehensive review of tooth movement, antibacterial properties, friction reduction, and corrosion resistance BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-25 Longwen He, Wenzhong Zhang, Junfeng Liu, Yuemei Pan, Simin Li, Yueqiang Xie
Nanotechnology has contributed important innovations to medicine and dentistry, and has also offered various applications to the field of orthodontics. Intraoral appliances must function in a complex environment that includes digestive enzymes, a diverse microbiome, mechanical stress, and fluctuations of pH and temperature. Nanotechnology can improve the performance of orthodontic brackets and archwires
-
On the feasibility of ultrasound Doppler-based personalized hemodynamic modeling of the abdominal aorta BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-25 Judith Fonken, Milan Gillissen, Eline van Engelen, Marc van Sambeek, Frans van de Vosse, Richard Lopata
Personalized modeling is a promising tool to improve abdominal aortic aneurysm (AAA) rupture risk assessment. Computed tomography (CT) and quantitative flow (Q-flow) magnetic resonance imaging (MRI) are widely regarded as the gold standard for acquiring patient-specific geometry and velocity profiles, respectively. However, their frequent utilization is hindered by various drawbacks. Ultrasound is
-
Residual effect of sequential 4-channel neuromuscular electrical stimulation evaluated by high-resolution manometry BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-25 Jiwoon Lim, Sung Eun Hyun, Hayoung Kim, Ju Seok Ryu
High-resolution manometry (HRM) can quantify swallowing pathophysiology to evaluate the status of the pharynx. Sequential 4-channel neuromuscular electrical stimulation (NMES) was recently developed based on the normal contractile sequences of swallowing-related muscles. This study aimed to examine the effects of sequential 4-channel NMES for compensatory application during swallowing and to observe
-
A comprehensive MRI-based computational model of blood flow in compliant aorta using radial basis function interpolation BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-23 Romana Perinajová, Thijn van de Ven, Elise Roelse, Fei Xu, Joe Juffermans, Jos Westenberg, Hildo Lamb, Saša Kenjereš
Properly understanding the origin and progression of the thoracic aortic aneurysm (TAA) can help prevent its growth and rupture. For a better understanding of this pathogenesis, the aortic blood flow has to be studied and interpreted in great detail. We can obtain detailed aortic blood flow information using magnetic resonance imaging (MRI) based computational fluid dynamics (CFD) with a prescribed
-
Roughness affects the response of human fibroblasts and macrophages to sandblasted abutments BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-17 Francisco Romero-Gavilán, Carlos Arias-Mainer, Andreia Cerqueira, David Peñarrocha-Oltra, Juan Carlos Bernabeu-Mira, Iñaki García-Arnáez, Félix Elortza, María Muriach, Mariló Gurruchaga, Isabel Goñi, Julio Suay
A strong seal of soft-tissue around dental implants is essential to block pathogens from entering the peri-implant interface and prevent infections. Therefore, the integration of soft-tissue poses a challenge in implant-prosthetic procedures, prompting a focus on the interface between peri-implant soft-tissues and the transmucosal component. The aim of this study was to analyse the effects of sandblasted
-
Magnetic-guided nanocarriers for ionizing/non-ionizing radiation synergistic treatment against triple-negative breast cancer BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-13 Yun Zhou, Junhao Kou, Yuhuang Zhang, Rongze Ma, Yao Wang, Junfeng Zhang, Chunhong Zhang, Wenhua Zhan, Ke Li, Xueping Li
Triple-negative breast cancer (TNBC) is a subtype of breast cancer with the worst prognosis. Radiotherapy (RT) is one of the core modalities for the disease; however, the ionizing radiation of RT has severe side effects. The consistent development direction of RT is to achieve better therapeutic effect with lower radiation dose. Studies have demonstrated that synergistic effects can be achieved by
-
Plate fixation of inferior ramus in pubis-ischium ramus improves mechanical stability in Tile B pelvic injures: a cadaveric biomechanical analysis and early clinical experience BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-12 Zhongjie Pan, Lili Qin, Xiaorong Shi, Feng Hu, Yuquan Li, Muwen Li, Min Chen, Wengui Huang, Yuanjun Li, Zhi Yang, Jinmin Zhao, Wei Liu
Management of inferior ramus of the pubis-ischium ramus remains controversial, and related research is sparse. The main intention of this study is to describe the biomechanical and clinical outcomes of pubis-ischium ramus fractures in Tile B pelvic injuries and to identify the feasibility and necessity of fixation of the inferior ramus of the pubis-ischium ramus. This study comprised two parts: a biomechanical
-
Automatic localization of cochlear implant electrodes using cone beam computed tomography images BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-10 Jasmin Thormählen, Benjamin Krüger, Waldo Nogueira
Cochlear implants (CI) are implantable medical devices that enable the perception of sounds and the understanding of speech by electrically stimulating the auditory nerve in case of inner ear damage. The stimulation takes place via an array of electrodes surgically inserted in the cochlea. After CI implantation, cone beam computed tomography (CBCT) is used to evaluate the position of the electrodes
-
Examining temporal changes in model-optimized parameters using longitudinal hemodynamic measurements BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-10 Nikolai L. Bjørdalsbakke, Jacob Sturdy, Ulrik Wisløff, Leif R. Hellevik
We previously applied hemodynamic data to personalize a mathematical model of the circulation expressed as physically interpretable parameters. The aim of this study was to identify patterns in the data that could potentially explain the estimated parameter changes. This included investigating whether the parameters could be used to track the effect of physical activity on high blood pressure. Clinical
-
Measures of overnight oxygen saturation to characterize sleep apnea severity and predict postoperative respiratory depression BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-07-08 Atousa Assadi, Frances Chung, Azadeh Yadollahi
Sleep apnea syndrome, characterized by recurrent cessation (apnea) or reduction (hypopnea) of breathing during sleep, is a major risk factor for postoperative respiratory depression. Challenges in sleep apnea assessment have led to the proposal of alternative metrics derived from oxyhemoglobin saturation (SpO2), such as oxygen desaturation index (ODI) and percentage of cumulative sleep time spent with
-
Nuclear proteins and diabetic retinopathy: a review BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-25 Bin Li, Wahab Hussain, Zhi-Liang Jiang, Jia-Yi Wang, Sarfraz Hussain, Talat Bilal Yasoob, Yuan-Kun Zhai, Xin-Ying Ji, Ya-Long Dang
Diabetic retinopathy (DR) is an eye disease that causes blindness and vision loss in diabetic. Risk factors for DR include high blood glucose levels and some environmental factors. The pathogenesis is based on inflammation caused by interferon and other nuclear proteins. This review article provides an overview of DR and discusses the role of nuclear proteins in the pathogenesis of the disease. Some
-
Peak detection in intracranial pressure signal waveforms: a comparative study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-24 Miaomiao Wei, Solventa Krakauskaite, Sreya Subramanian, Fabien Scalzo
The monitoring and analysis of quasi-periodic biological signals such as electrocardiography (ECG), intracranial pressure (ICP), and cerebral blood flow velocity (CBFV) waveforms plays an important role in the early detection of adverse patient events and contributes to improved care management in the intensive care unit (ICU). This work quantitatively evaluates existing computational frameworks for
-
Pulse wave signal-driven machine learning for identifying left ventricular enlargement in heart failure patients BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-22 Dandan Wu, Ryohei Ono, Sirui Wang, Yoshio Kobayashi, Koichi Sughimoto, Hao Liu
Left ventricular enlargement (LVE) is a common manifestation of cardiac remodeling that is closely associated with cardiac dysfunction, heart failure (HF), and arrhythmias. This study aimed to propose a machine learning (ML)-based strategy to identify LVE in HF patients by means of pulse wave signals. We constructed two high-quality pulse wave datasets comprising a non-LVE group and an LVE group based
-
Changes in temporal lobe activation during a sound stimulation task in patients with sensorineural tinnitus: a multi-channel near-infrared spectroscopy study BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-21 Xiaoli Fan, Bin Gong, Hao Yang, Juanjuan Yang, Gaowei Qi, Zheng Wang, Jie Sun, Yu Fang
The subjective sign of a serious pandemic in human work and life is mathematical neural tinnitus. fNIRS (functional near-infrared spectroscopy) is a new non-invasive brain imaging technology for studying the neurological activity of the human cerebral cortex. It is based on neural coupling effects. This research uses the fNIRS approach to detect differences in the neurological activity of the cerebral
-
Diurnal variation of heart rate variability in individuals with spinal cord injury BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-20 Jittima Saengsuwan, Arphatsorn Ruangsuphaphichat, Lars Brockmann, Patpiya Sirasaporn, Nuttaset Manimmanakorn, Kenneth J. Hunt
Heart rate variability (HRV) may provide objective information about cardiogenic autonomic balance in individuals with spinal cord injury (SCI). The aim of this study was to characterize the diurnal variation of HRV in individuals with SCI at lesion level T6 and above and lesion level below T6. This was a retrospective analysis of a prior cross-sectional study. Individuals with chronic SCI underwent
-
EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-20 Meng-Hsuan Liu, Shang-Yu Chien, Ya-Lun Wu, Ting-Hsuan Sun, Chun-Sen Huang, Kai-Cheng Hsu, Liang-Wen Hang
Our objective was to create a machine learning architecture capable of identifying obstructive sleep apnea (OSA) patterns in single-lead electrocardiography (ECG) signals, exhibiting exceptional performance when utilized in clinical data sets. We conducted our research using a data set consisting of 1656 patients, representing a diverse demographic, from the sleep center of China Medical University
-
Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-18 Dong-yue Wen, Jia-min Chen, Zhi-ping Tang, Jin-shu Pang, Qiong Qin, Lu Zhang, Yun He, Hong Yang
This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC). This research involved 189 individuals diagnosed with PC confirmed by surgical pathology (training cohort: n = 151; test cohort: n = 38), including 50 cases of lymph node metastasis.
-
Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-17 Xinyi Xu, Geng Zhu, Bin Li, Ping Lin, Xiaoou Li, Zhen Wang
Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is required. In this study, we provide a classification approach for SZ patients based on a spatial–temporal residual graph convolutional neural network (STRGCN). The model
-
An in-vitro three-dimensional surgical simulation technique to predict tibial tunnel length in transtibial posterior cruciate ligament reconstruction BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-17 Gengxin Jia, Xiaoyang Jia, Minfei Qiang, Tianhao Shi, Qinghui Han, Yanxi Chen
During the transtibial posterior cruciate ligament (PCL) reconstruction, drilling depth excessively longer than the tibial tunnel length (TTL) is an important reason to cause popliteal neurovascular bundle injury when preparing the tibial tunnel. This study aims to develop an in-vitro three-dimensional surgical simulation technique to determine the TTL in anteromedial (AM) and anterolateral (AL) approaches
-
Folic acid-mediated hollow \(\text {Mn}_{3}\text {O}_{4}\) nanocomposites for in vivo MRI/FLI monitoring the metastasis of gastric cancer BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-10 Zhihua Yang, Chenying Wang, Shangting Du, Qin Ma, Wei Wang, Changhu liu, Yonghua Zhan, Wenhua Zhan
Metastasis is one of the main factors leading to the high mortality rate of gastric cancer. The current monitoring methods are not able to accurately monitor gastric cancer metastasis. In this paper, we constructed a new type of hollow $$\text {Mn}_{3}\text {O}_{4}$$ nanocomposites, $$\text {Mn}_{3}\text {O}_{4}$$ @HMSN-Cy7.5-FA, which had a size distribution of approximately 100 nm and showed good
-
Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-08 Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song
Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiation therapy. In the past few years, with a data-driven feature extraction approach and end-to-end training, automatic deep learning-based multi-organ segmentation methods have far outperformed traditional methods and become
-
A novel functional electrical stimulation sleeve based on textile-embedded dry electrodes BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-04 Baptiste Garnier, Melissa Marquez-Chin, Stephanie DiNunzio, Stephanie N. Iwasa, Zia Saadatnia, Hani E. Naguib, Milos R. Popovic
Functional electrical stimulation (FES) is a rehabilitation technique that enables functional improvements in patients with motor control impairments. This study presents an original design and prototyping method for a smart sleeve for FES applications. The article explains how to integrate a carbon-based dry electrode into a textile structure and ensure an electrical connection between the electrodes
-
Automatic detection of epilepsy from EEGs using a temporal convolutional network with a self-attention layer BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-06-01 Leen Huang, Keying Zhou, Siyang Chen, Yanzhao Chen, Jinxin Zhang
Over 60% of epilepsy patients globally are children, whose early diagnosis and treatment are critical for their development and can substantially reduce the disease’s burden on both families and society. Numerous algorithms for automated epilepsy detection from EEGs have been proposed. Yet, the occurrence of epileptic seizures during an EEG exam cannot always be guaranteed in clinical practice. Models
-
Special collection in association with the 2023 International Conference on aging, innovation and rehabilitation BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-21 Babak Taati, Milos R. Popovic
We are happy to introduce this collection of research articles in association with the International Conference on aging, innovation and rehabilitation (ICAIR). The 2023 conference was an interdisciplinary event that brought together leading researchers, scientists, and entrepreneurs, dedicated to enhancing the quality of life for individuals who face challenges related to aging and disability (Fig
-
sEMG-based automatic characterization of swallowed materials BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-17 Eman A. Hassan, Yassin Khalifa, Ahmed A. Morsy
Monitoring of ingestive activities is critically important for managing the health and wellness of individuals with various health conditions, including the elderly, diabetics, and individuals seeking better weight control. Monitoring swallowing events can be an ideal surrogate for developing streamlined methods for effective monitoring and quantification of eating or drinking events. Swallowing is
-
Importance of the electrophoresis and pulse energy for siRNA-mediated gene silencing by electroporation in differentiated primary human myotubes BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-16 Mojca Pavlin, Nives Škorja Milić, Maša Kandušer, Sergej Pirkmajer
Electrotransfection is based on application of high-voltage pulses that transiently increase membrane permeability, which enables delivery of DNA and RNA in vitro and in vivo. Its advantage in applications such as gene therapy and vaccination is that it does not use viral vectors. Skeletal muscles are among the most commonly used target tissues. While siRNA delivery into undifferentiated myoblasts
-
Parameter subset reduction for imaging-based digital twin generation of patients with left ventricular mechanical discoordination BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-13 Tijmen Koopsen, Nick van Osta, Tim van Loon, Roel Meiburg, Wouter Huberts, Ahmed S. Beela, Feddo P. Kirkels, Bas R. van Klarenbosch, Arco J. Teske, Maarten J. Cramer, Geertruida P. Bijvoet, Antonius van Stipdonk, Kevin Vernooy, Tammo Delhaas, Joost Lumens
Integration of a patient’s non-invasive imaging data in a digital twin (DT) of the heart can provide valuable insight into the myocardial disease substrates underlying left ventricular (LV) mechanical discoordination. However, when generating a DT, model parameters should be identifiable to obtain robust parameter estimations. In this study, we used the CircAdapt model of the human heart and circulation
-
A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-05 Jiali Xie, Pedro Fonseca, Johannes van Dijk, Sebastiaan Overeem, Xi Long
Sleep-disordered breathing (SDB) affects a significant portion of the population. As such, there is a need for accessible and affordable assessment methods for diagnosis but also case-finding and long-term follow-up. Research has focused on exploiting cardiac and respiratory signals to extract proxy measures for sleep combined with SDB event detection. We introduce a novel multi-task model combining
-
Mechanically strained osteocyte-derived exosomes contained miR-3110-5p and miR-3058-3p and promoted osteoblastic differentiation BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-05-05 Yingwen Zhu, Yanan Li, Zhen Cao, Jindong Xue, Xiaoyan Wang, Tingting Hu, Biao Han, Yong Guo
Osteocytes are critical mechanosensory cells in bone, and mechanically stimulated osteocytes produce exosomes that can induce osteogenesis. MicroRNAs (miRNAs) are important constituents of exosomes, and some miRNAs in osteocytes regulate osteogenic differentiation; previous studies have indicated that some differentially expressed miRNAs in mechanically strained osteocytes likely influence osteoblastic
-
Video-based analysis of the blink reflex in Parkinson’s disease patients BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-23 Talisa S. Jansen, Gökhan Güney, Bergita Ganse, Mariana H. G. Monje, Jörg B. Schulz, Manuel Dafotakis, Christoph Hoog Antink, Anne K. Braczynski
We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s disease (iPD) as well as healthy age-matched participants. We also video-graphically assessed the effect of dopaminergic medication on the GTR in iPD patients, as well as the frequency and blinking duration of reflex and non-reflex blinks. The Glabellar Tap Reflex is a clinical
-
Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-13 Nouman Ahmad, Hugo Dahlberg, Hanna Jönsson, Sambit Tarai, Rama Krishna Guggilla, Robin Strand, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg
Computed tomography (CT) is an imaging modality commonly used for studies of internal body structures and very useful for detailed studies of body composition. The aim of this study was to develop and evaluate a fully automatic image registration framework for inter-subject CT slice registration. The aim was also to use the results, in a set of proof-of-concept studies, for voxel-wise statistical body
-
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-09 Yangchun Du, Yanju Xiao, Wenwen Guo, Jinxiu Yao, Tongliu Lan, Sijin Li, Huoyue Wen, Wenying Zhu, Guangling He, Hongyu Zheng, Haining Chen
The timely identification and management of ovarian cancer are critical determinants of patient prognosis. In this study, we developed and validated a deep learning radiomics nomogram (DLR_Nomogram) based on ultrasound (US) imaging to accurately predict the malignant risk of ovarian tumours and compared the diagnostic performance of the DLR_Nomogram to that of the ovarian-adnexal reporting and data
-
Strategies to enhance the ability of nerve guidance conduits to promote directional nerve growth BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-06 Ziyue Zhang, Muyuan Ma
Severely damaged peripheral nerves will regenerate incompletely due to lack of directionality in their regeneration, leading to loss of nerve function. To address this problem, various nerve guidance conduits (NGCs) have been developed to provide guidance for nerve repair. However, their clinical application is still limited, mainly because its effect in promoting nerve repair is not as good as autologous
-
A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-02 Laifa Yan, Shan Ling, Rongsong Mao, Haoran Xi, Fei Wang
Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the primary method for CHD detection. However, its effectiveness is heavily reliant on the expertise of physicians, leading to subjective interpretations and potential underdiagnosis
-
Noninvasive spinal stimulation improves walking in chronic stroke survivors: a proof-of-concept case series BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-04-01 Yaejin Moon, Chen Yang, Nicole C. Veit, Kelly A. McKenzie, Jay Kim, Shreya Aalla, Lindsey Yingling, Kristine Buchler, Jasmine Hunt, Sophia Jenz, Sung Yul Shin, Ameen Kishta, V. Reggie Edgerton, Yury P. Gerasimenko, Elliot J. Roth, Richard L. Lieber, Arun Jayaraman
After stroke, restoring safe, independent, and efficient walking is a top rehabilitation priority. However, in nearly 70% of stroke survivors asymmetrical walking patterns and reduced walking speed persist. This case series study aims to investigate the effectiveness of transcutaneous spinal cord stimulation (tSCS) in enhancing walking ability of persons with chronic stroke. Eight participants with
-
Classification of vasovagal syncope from physiological signals on tilt table testing BioMed. Eng. OnLine (IF 2.9) Pub Date : 2024-03-30 Mahbuba Ferdowsi, Ban-Hoe Kwan, Maw Pin Tan, Nor’ Izzati Saedon, Sukanya Subramaniam, Noor Fatin Izzati Abu Hashim, Siti Sakinah Mohd Nasir, Imran Zainal Abidin, Kok Han Chee, Choon-Hian Goh
The diagnostic test for vasovagal syncope (VVS), the most common cause of syncope is head-up tilt test (HUTT) assessment. During the test, subjects experienced clinical symptoms such as nausea, sweating, pallor, the feeling of palpitations, being on the verge of passing out, and fainting. The study's goal is to develop an algorithm to classify VVS patients based on physiological signals blood pressure