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Masked Modeling-Based Ultrasound Image Classification Via Self-Supervised Learning IEEE Open J. Eng. Med. Biol. Pub Date : 2024-03-12 Kele Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng, Cheng Yang
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Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures IEEE Open J. Eng. Med. Biol. Pub Date : 2024-03-08 Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
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Two-Dimensional Array Sinusoidal Waves Conductor for Biometric Measurements IEEE Open J. Eng. Med. Biol. Pub Date : 2024-03-08 Homare Yamada, Risa Kawai, Risako Niwa, Kosuke Tsukada
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Grand Challenges at the Interface of Engineering and Medicine IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-21 Shankar Subramaniam, Metin Akay, Mark A. Anastasio, Vasudev Bailey, David Boas, Paolo Bonato, Ashutosh Chilkoti, Jennifer R. Cochran, Vicki Colvin, Tejal A. Desai, James S. Duncan, Frederick H. Epstein, Stephanie Fraley, Cecilia Giachelli, K. Jane Grande-Allen, Jordan Green, X. Edward Guo, Isaac B. Hilton, Jay D. Humphrey, Chris R Johnson, George Karniadakis, Michael R. King, Robert F. Kirsch, Sanjay
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution is now equipped at varying degrees of sophistication with the ability to monitor human health in both non-invasive and invasive modes. The multiple scales at which human physiology can be interrogated
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Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-20 Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education of ophthalmologists and ophthalmologists-in-training. Methods: Fifteen ophthalmologists were recruited to each examine 20 randomly selected OCT reports and evaluate the likelihood of glaucoma
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EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-20 Kuan-Chih Huang, Chun-Ying Tseng, Chin-Teng Lin
A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving
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MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-cancerous Lesions of the Cervix IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-20 Peng Chen, Fobao Liu, Jun Zhang, Bing Wang
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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-19 Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri
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Guest Editorial Introduction to the Special Section on Image-Guided Therapies IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-08 Dieter Haemmerich, Punit Prakash
Numerous medical imaging modalities are clinically available and widely used in disease diagnosis and monitoring therapy response. Imaging data are also increasingly being used for constructing patient-specific computational models to inform design and evaluation of devices, and for personalized planning of interventions. Several of these imaging modalities – e.g., ultrasound imaging, computed tomography
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Information Accessibility in the Form of Braille IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-08 Samuel Dolphin, Maren Downing, Mia Cirrincione, Adam Samuta, Kevin Leite, Kimberly Noble, Brian Walsh
Braille is often proposed by the uninformed as the optimal solution to providing an alternative to visual information to the visually impaired. The purpose of this article is to highlight the complexity of the braille user population and discuss the importance of understanding the use of braille as a solution for equal access of information. As part of the National Institute of Biomedical Imaging and
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Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task IEEE Open J. Eng. Med. Biol. Pub Date : 2024-02-07 Yasuhiro Kato, Toshiaki Tsuji, Imre Cikajlo
Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography
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Physically Meaningful Surrogate Data for COPD IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-31 Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic
The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techniques are “data hungry” whilst patient-based data is invariably expensive and time consuming to record. To this end, we introduce a novel COPD-simulator, a physical
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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-29 Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang
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The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-26 Yudai Kawakami, Makoto Sakai, Hiroaki Masuda, Masami Miyajima, Takao Kanzaki, Kazutoshi Kobayashi, Tatsuya Ohno, Hiroshi Sakurai
Introduction: While carbon ion radiotherapy is highly effective in cancer treatment, it has a high risk of causing soft error, which leads to malfunctions in cardiac implantable electrical devices (CIEDs). To predict the risk of malfunction prior to treatment, it is necessary to measure the reaction cross-sections and contributions to the soft error of secondary particles generated during treatments
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Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-25 Giles Hamilton-Fletcher, Mingxin Liu, Diwei Sheng, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan
Goal: Distance information is highly requested in assistive smartphone Apps by people who are blind or low vision (PBLV). However, current techniques have not been evaluated systematically for accuracy and usability. Methods: We tested five smartphone-based distance-estimation approaches in the image center and periphery at 1–3 meters, including machine learning (CoreML), infrared grid distortion (IR_self)
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IEEE Engineering in Medicine and Biology Society Information IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-24
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Assessment of Reader Technologies for Over-the-Counter Diagnostic Testing IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-24 Mia Cirrincione, Maren Downing, Kevin Leite, Samuel Dolphin, Adam Samuta, Mack Schermer, Kimberly Noble, Brian Walsh
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Functional Electrochemistry: On-Nerve Assessment of Electrode Materials for Electrochemistry and Functional Neurostimulation IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-22 Jason A. Miranda, Adrien Rapeaux, Isabelle C. Samper, Carolina Silveira, David R. Willé, Gerald E. Hunsberger, Wesley J. Dopson, Huanfen Yao, Annapurna Karicherla, Daniel J. Chew
Emerging therapies in bioelectronic medicine highlight the need for deeper understanding of electrode material performance in the context of tissue stimulation. Electrochemical properties are characterized on the benchtop, facilitating standardization across experiments. On-nerve electrochemistry differs from benchtop characterization and the relationship between electrochemical performance and nerve
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Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-22 Arne Küderle, Martin Ullrich, Nils Roth, Malte Ollenschläger, Alzhraa A. Ibrahim, Hamid Moradi, Robert Richer, Ann-Kristin Seifer, Matthias Zürl, Raul C. Sîmpetru, Liv Herzer, Dominik Prossel, Felix Kluge, Bjoern M. Eskofier
Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising method for monitoring movement disorders. However, the lack of public data and easy-to-use open-source algorithms hinders method comparison and clinical application development. To address these challenges, this publication introduces the gaitmap ecosystem, a comprehensive set of open source Python packages for gait
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SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-19 Dean M. Corva, Egan H. Doeven, Brenna Parke, Scott D. Adams, Susannah J. Tye, Parastoo Hashemi, Michael Berk, Abbas Z. Kouzani
Goal: Dynamically monitoring serotonin in real-time within target brain regions would significantly improve the diagnostic and therapeutic approaches to a variety of neurological and psychiatric disorders. Current systems for measuring serotonin lack immediacy and portability and are bulky and expensive. Methods: We present a new miniaturised device, named SmartFSCV, designed to monitor dynamic changes
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Microfluidic Delivery of High Viscosity Liquids Using Piezoelectric Micropumps for Subcutaneous Drug Infusion Applications IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-18 Nivedha Surendran, Claudia Patricia Durasiewicz, Thalia Hoffmann, Axel Wille, Agnes Beate Bussmann, Martin Richter
Goal: Auto-injectors for self-administration of drugs are usually refrigerated. If not warmed up prior to the injection, ejection of the total drug volume is not guaranteed, as their spring and plunger mechanism cannot adjust for a change in viscosity of the drug. Here, we develop piezoelectric micro diaphragm pump that allows these modifications possible while investigating the effectiveness of this
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Pulsed High-Power Radio Frequency Energy Can Cause Non-Thermal Harmful Effects on the BRAIN IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-17 Omid Yaghmazadeh
High-power microwave applications are growing for both military and civil purposes, yet they can induce brain-related risks and raise important public health concerns. High-power sub-millisecond radio frequency energy pulses have been demonstrated to be able to induce neurological and neuropathological changes in the brain while being compliant with current regulatory guidelines’ limits, highlighting
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Assessing Tissue Damage Around a Tape Spring Steerable Needle With Sharp Turn Radii IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-17 Omar T. Abdoun, Mark Yim
Steerable needles are a novel technology that offers a wide range of uses in medical diagnostics and therapeutics. Currently, there exist several steerable needle designs in the literature, however, they are limited in their use by the number of possible turns, turn radius, and tissue damage. We introduce a novel design of a tape spring steerable needle, capable of multiple turns, that minimizes tissue
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Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-15 Ellen W. McGinnis, Bryn Loftness, Shania Lunna, Isabel Berman, Skylar Bagdon, Genevieve Lewis, Michael Arnold, Christopher M. Danforth, Peter S. Dodds, Matthew Price, William E. Copeland, Ryan S. McGinnis
Objective: Panic attacks are an impairing mental health problem that affects 11% of adults every year. Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often identify attack triggers. We aimed to prospectively explore qualitative and quantitative factors associated with the onset of panic attacks. Results: Of 87 participants, 95% retrospectively
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The Number of Microbubbles Generated During Cardiopulmonary Bypass Can Be Estimated Using Machine Learning From Suction Flow Rate, Venous Reservoir Level, Perfusion Flow Rate, Hematocrit Level, and Blood Temperature IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-08 Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, Toshio Tsuji
Goal: Microbubbles (MBs) are known to occur within the circuits of cardiopulmonary bypass (CPB) systems, and higher-order dysfunction after cardiac surgery may be caused by MBs as well as atheroma dispersal associated with cannula insertion. As complete MB elimination is not possible, monitoring MB count rates is critical. We propose an online detection system with a neural network-based model to estimate
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Guest Editorial Special Section on Functional Recovery and Brain Plasticity IEEE Open J. Eng. Med. Biol. Pub Date : 2024-01-05 Alessandra Pedrocchiguest, Eleonora Guanziroli
The aim of rehabilitation after neurological damage is functional recovery, which includes motor, sensory, and cognitive aspects, which are closely interrelated [22].
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Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model IEEE Open J. Eng. Med. Biol. Pub Date : 2023-12-27 Frankangel Servin, Jarrod A. Collins, Jon S. Heiselman, Katherine C. Frederick-Dyer, Virginia B. Planz, Sunil K. Geevarghese, Daniel B. Brown, William R. Jarnagin, Michael I. Miga
Emerging computational tools such as healthcare digital twin modeling are enabling the creation of patient-specific surgical planning, including microwave ablation to treat primary and secondary liver cancers. Healthcare digital twins (DTs) are anatomically one-to-one biophysical models constructed from structural, functional, and biomarker-based imaging data to simulate patient-specific therapies
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Vector Field Heterogeneity for the Assessment of Locally Disorganised Cardiac Electrical Propagation Wavefronts From High-Density Multielectrodes IEEE Open J. Eng. Med. Biol. Pub Date : 2023-12-20 Lucía Pancorbo, Samuel Ruipérez-Campillo, Álvaro Tormos, Antonio Guill, Raquel Cervigón, Antonio Alberola, Francisco Javier Chorro, José Millet, Francisco Castells
High-density multielectrode catheters are becoming increasingly popular in cardiac electrophysiology for advanced characterisation of the cardiac tissue, due to their potential to identify impaired sites. These are often characterised by abnormal electrical conduction, which may cause locally disorganised propagation wavefronts. To quantify it, a novel heterogeneity parameter based on vector field
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Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms IEEE Open J. Eng. Med. Biol. Pub Date : 2023-12-15 Agnese Sbrollini, Micaela Morettini, Ennio Gambi, Laura Burattini
Goal: To evaluate suitability of respiratory signals derived from clinical 12-lead electrocardiograms (ECGs) and wearable 1-lead ECG to identify different respiration types. Methods: ECGs were simultaneously acquired through the M12R ECG Holter by Global Instrumentation and the chest strap BioHarness 3.0 by Zephyr from 42 healthy subjects alternating normal breathing, breath holding, and deep breathing
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In Vivo Assessment of Shear Wave Propagation in Pennate Muscles Using an Automatic Ultrasound Probe Alignment System IEEE Open J. Eng. Med. Biol. Pub Date : 2023-11-30 Manuela Zimmer, Elsa K. Bunz, Tobias Ehring, Benedikt Kaiser, Annika Kienzlen, Henning Schlüter, Manuel Zürn
Goal: Skeletal muscle mechanics can be assessed in vivo using shear wave elastography. However, the impact of pennation angle on shear wave velocity (SWV) remains unclear. This study aims to quantify the effect by automatically aligning the ultrasound probe with muscle fiber orientation. Methods: We propose an automatic ultrasound probe alignment system and compare it to manual and no alignment. SWV
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Targeted Sensitization of Glioblastoma Multiforme Using AAAPT Technology IEEE Open J. Eng. Med. Biol. Pub Date : 2023-11-28 Megan Mendieta, Naze G. Avci, Raghu Pandurangi, Yasemin M. Akay, Metin Akay
Glioblastoma Multiforme (GBM) is the most malignant type of all brain tumors. Current GBM treatment options include surgery, followed by radiation and chemotherapy. However, GBM can become resistant to therapy, resulting in tumor recurrence. GBM cells develop resistance to treatments by either downregulating cell death pathways (CD95) or upregulating cell survival pathways (NF-κB (p65)). Healthy tissues
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors IEEE Open J. Eng. Med. Biol. Pub Date : 2023-11-16 Samiul Alam, Md. Rafiul Amin, Rose T. Faghih
Goal: Inferring autonomous nervous system (ANS) activity is a challenging issue and has critical applications in stress regulation. Sweat secretions caused by ANS activity influence the electrical conductance of the skin. Therefore, the variations in skin conductance (SC) measurements reflect the sudomotor nerve activity (SMNA) and can be used to infer the underlying ANS activity. These variations
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A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise IEEE Open J. Eng. Med. Biol. Pub Date : 2023-11-07 Vladimir Atanasoski, Jovana Petrovic, Lana Popović Maneski, Marjan Miletić, Miloš Babić, Aleksandra Nikolić, Dorin Panescu, Marija D. Ivanović
Goal: Noise on recorded electrocardiographic (ECG) signals may affect their clinical interpretation. Electromyographic (EMG) noise spectrally coincides with the QRS complex, which makes its removal particularly challenging. The problem of evaluating the noise-removal techniques has commonly been approached by algorithm testing on the contaminated ECG signals constructed ad hoc as an additive mixture
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Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic IEEE Open J. Eng. Med. Biol. Pub Date : 2023-11-06 Darius Chapman, Campbell Strong, Kathryn D Tiver, Dhani Dharmaprani, Even Jenkins, Anand N Ganesan
Objective: This study addressed the problem of objectively detecting leaks in P2 respirators at point of use, an essential component for healthcare workers' protection. To achieve this, we explored the use of infra-red (IR) imaging combined with machine learning algorithms on the thermal gradient across the respirator during inhalation. Results: The study achieved high accuracy in predicting pass or
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Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy IEEE Open J. Eng. Med. Biol. Pub Date : 2023-10-30 Yuming Zhong, Ying Dan, Yin Cai, Jiamin Lin, Xiaoyao Huang, Omnia Mahmoud, Eric S. Hald, Akshay Kumar, Qiang Fang, Seedahmed S. Mahmoud
Goal : The purpose of this work is to improve malaria diagnosis efficiency by integrating smartphones with microscopes. This integration involves image acquisition and algorithmic detection of malaria parasites in various thick blood smear (TBS) datasets sourced from different global regions, including low-quality images from Sub-Saharan Africa. Methods: This approach combines image segmentation and
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Skin Sensitivity Assessment Using Smartphone Haptic Feedback IEEE Open J. Eng. Med. Biol. Pub Date : 2023-10-30 Wilson O. Torres, Michael E. Abbott, Yuqing Wang, Hannah S. Stuart
Goal: This work presents a smartphone application to assess cutaneous sensory perception by establishing Vibrational Perception Thresholds (VPTs). Cutaneous sensory perception diagnostics allow for the early detection and symptom tracking of tactile dysfunction. However, lack of access to healthcare and the limited frequency of current screening tools can leave skin sensation impairments undiscovered
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Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer IEEE Open J. Eng. Med. Biol. Pub Date : 2023-10-09 Iva VilasBoas-Ribeiro, Kemal Sumser, Sven Nouwens, Theresa Feddersen, W.P.M.H. Heemels, Gerard C. van Rhoon, Margarethus M. Paulides
Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. In this study, we
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Enhancing Neuroplasticity in the Chronic Phase After Stroke: Effects of a Soft Robotic Exosuit on Training Intensity and Brain-Derived Neurotrophic Factor IEEE Open J. Eng. Med. Biol. Pub Date : 2023-09-08 Anna V. Roto Cataldo, Ashley N. Collimore, Johanna Spangler, Lillian Ribeirinha-Braga, Karen Hutchinson, Qing Mei Wang, LaDora Thompson, Louis N. Awad
Objective: High intensity training may enhance neuroplasticity after stroke; however, gait deficits limit the ability to achieve and sustain high walking training intensities. We hypothesize that soft robotic exosuits can facilitate speed-based gait training at higher intensities and longer durations, resulting in a corresponding increase in circulating brain-derived neurotrophic factor (BDNF). Results:
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Introduction to the Special Section on Healthcare for Space, Space for Healthcare IEEE Open J. Eng. Med. Biol. Pub Date : 2023-08-29 Ilaria Cinelli
The International Space Station (ISS) has been critical in increasing our understanding of space exploration and healthcare during the last two decades. As the only long-lasting microgravity laboratory in space, the ISS has provided a unique environment for researchers to conduct experiments that would be impossible on Earth. These discoveries have aided astronauts in staying healthy in space and have
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Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models IEEE Open J. Eng. Med. Biol. Pub Date : 2023-08-16 Ali Farshkaran, Andrew Fry, Alex Raterink, Adam Santorelli, Emily Porter
Goal: Urinary incontinence (UI) affects a significant proportion of the population and is associated with negative physical and psychological side-effects. Microwave-based technologies may have the potential to monitor bladder volume, providing a proactive, low-cost and non-invasive tool to support individuals with UI. Methods: Studies to date on microwave bladder monitoring have been limited to highly
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Can Training Make Three Arms Better Than Two Heads for Trimanual Coordination? IEEE Open J. Eng. Med. Biol. Pub Date : 2023-08-16 Yanpei Huang, Jonathan Eden, Ekaterina Ivanova, Etienne Burdet
Supernumerary effectors have been proposed to enable users to perform tasks alone that normally require assistance from a partner. While various supernumerary robotic limbs have been developed in the last decade, the capability of users to operate them effectively has not yet been proven. Here we tested whether users (i) can complete a task that requires simultaneous and fine control of three effectors
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On the Evaluation of the Hyperthermic Efficiency of Magnetic Scaffolds IEEE Open J. Eng. Med. Biol. Pub Date : 2023-08-14 Matteo B. Lodi, Antonios Makridis, Konstantina Kazeli, Theodoros Samaras, Makis Angelakeris, Giuseppe Mazzarella, Alessandro Fanti
Goal: Deep-seated tumors (DST) can be treated using thermoseeds exposed to a radiofrequency magnetic field for performing local interstitial hyperthermia treatment (HT). Several research efforts were oriented to the manufacturing of novel biocompatible magnetic nanostructured thermo-seeds, called magnetic scaffolds (MagS). Several iron-doped bioceramics or magnetic polymers in various formulations
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3D Motion Analysis for the Assessment of Dynamic Coupling in Transtibial Prosthetics: A Proof of Concept IEEE Open J. Eng. Med. Biol. Pub Date : 2023-07-19 Sean Cullen, Ruth Mackay, Amir Mohagheghi, Xinli Du
Assessment of coupling between transtibial sockets and users is historically based on clinicians’ observations and experience, but can be inaccurate and unreliable. Therefore, we present a proof of concept, for five out of six possible degrees of freedom coupling metric system for a socket, using motion analysis calibrated on a 3D printed limb substitute. The method is compatible with any socket suspension
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Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint IEEE Open J. Eng. Med. Biol. Pub Date : 2023-06-29 Daisuke Goto, Yusuke Sakaue, Tatsuya Kobayashi, Kohei Kawamura, Shima Okada, Naruhiro Shiozawa
Goal : To develop bending angle sensors based on double-layer capacitance for monitoring joint angles during cycling exercises. Methods : We develop a bending angle sensor based on double-layer capacitive and conducted three stretching, bending, and cycling tests to evaluate its validity. Results : We demonstrate that the bending angle sensor based on double-layer capacitance minimizes the change in
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Neuromechanical Adaptation to Walking With Electromechanical Ankle Exoskeletons Under Proportional Myoelectric Control IEEE Open J. Eng. Med. Biol. Pub Date : 2023-06-26 Rachel L. Hybart, Daniel P. Ferris
Objective: To determine if robotic ankle exoskeleton users decrease triceps surae muscle activity when using proportional myoelectric control, we studied healthy young participants walking with commercially available electromechanical ankle exoskeletons (Dephy Exoboot) with a novel controller. The vast majority of robotic lower limb exoskeletons do not have direct neural input from the user which makes
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Adding Sound Transparency to a Spacesuit: Effect on Cognitive Performance in Females IEEE Open J. Eng. Med. Biol. Pub Date : 2023-06-22 Jose Berengueres, Mariam AlKuwaiti, Mohamed Abduljabbar, Fatma Taher
Spacesuits may block external sound. This induces sensory deprivation; a side effect is lower cognitive performance. This can increase the risk of an accident. This undesirable effect can be mitigated by designing suits with sound transparency. If the atmosphere is available, as on Mars, sound transparency can be realized by augmenting and processing external sounds. If no atmosphere is available,
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Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone IEEE Open J. Eng. Med. Biol. Pub Date : 2023-05-25 Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Goal: The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height. Methods: First, three repetitions each of bilateral and unilateral CMJ were performed by sixteen healthy adults (mean age: 30.87 $\pm$ 7.24 years; mean BMI: 23.14
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Editorial Special Section on Biomedical Diffuse Optics for the Brain IEEE Open J. Eng. Med. Biol. Pub Date : 2023-05-22 Sergio Fantini
This special section collects four articles on the application of diffuse optics to measure cerebral hemodynamics and oxygenation. The possibility of using near-infrared light to collect cerebral hemodynamic and metabolic information through the intact scalp and skull was first proposed in the 1970s [1]. Commercial cerebral oximeters were developed in the 1990s, and functional measurements of brain
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A Quantitative, Digital Method to Analyze Human Figure Drawings as a Tool to Assess Body Representations Distortions in Stroke Patients IEEE Open J. Eng. Med. Biol. Pub Date : 2023-05-18 Isabella Martinelli, Stéphanie Konik, Eleonora Guanziroli, Joseph Tharayil, Carolina Foglia, Makeda Minelik Alemu, Maria Colombo, Alessandro Specchia, Andrea Serino, Franco Molteni, Michela Bassolino
Objective: Human figure drawings are widely used in clinical practice as a qualitative indication of Body Representations (BRs) alterations in stroke patients. The objective of this study is to present and validate the use of a new app called QDraw for the quantitative analysis of drawings and to investigate whether this analysis can reveal distortions of BRs in chronic stroke patients. Results: QDraw
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Reverse Correlation Uncovers More Complete Tinnitus Spectra IEEE Open J. Eng. Med. Biol. Pub Date : 2023-05-18 Alec Hoyland, Nelson V. Barnett, Benjamin W. Roop, Danae Alexandrou, Myah Caplan, Jacob Mills, Benjamin Parrell, Divya A. Chari, Adam C. Lammert
Goal: This study validates an approach to characterizing the sounds experienced by tinnitus patients via reverse correlation, with potential for characterizing a wider range of sounds than currently possible. Methods: Ten normal-hearing subjects assessed the subjective similarity of random auditory stimuli and target tinnitus-like sounds (“buzzing” and “roaring”). Reconstructions of the targets were
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A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance IEEE Open J. Eng. Med. Biol. Pub Date : 2023-05-01 Piper C. Cannon, James M. Ferguson, E. Bryn Pitt, Jason A. Shrand, Shaan A. Setia, Naren Nimmagadda, Eric J. Barth, Nicholas L. Kavoussi, Robert L. Galloway, S. Duke Herrell, Robert J. Webster
Goal: We present a new framework for in vivo image guidance evaluation and provide a case study on robotic partial nephrectomy. Methods: This framework (called the “bystander protocol”) involves two surgeons, one who solely performs the therapeutic process without image guidance, and another who solely periodically collects data to evaluate image guidance. This isolates the evaluation from the therapy
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Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses IEEE Open J. Eng. Med. Biol. Pub Date : 2023-04-28 Jovana Panic, Arianna Defeudis, Gabriella Balestra, Valentina Giannini, Samanta Rosati
Goal: Artificial intelligence applied to medical image analysis has been extensively used to develop non-invasive diagnostic and prognostic signatures. However, these imaging biomarkers should be largely validated on multi-center datasets to prove their robustness before they can be introduced into clinical practice. The main challenge is represented by the great and unavoidable image variability which
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Environment Knowledge-Driven Generic Models to Detect Coughs From Audio Recordings IEEE Open J. Eng. Med. Biol. Pub Date : 2023-04-28 Sudip Vhaduri, Sayanton V. Dibbo, Yugyeong Kim
Goal: Millions of people are dying due to respiratory diseases, such as COVID-19 and asthma, which are often characterized by some common symptoms, including coughing. Therefore, objective reporting of cough symptoms utilizing environment-adaptive machine-learning models with microphone sensing can directly contribute to respiratory disease diagnosis and patient care. Methods: In this work, we present
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Processes for Designing Innovative Biomedical Hardware to Use in Space and on Earth IEEE Open J. Eng. Med. Biol. Pub Date : 2023-04-26 Kimia Seyedmadani, Keith A. Tucker, Baraquiel Reyna, Yasemin M. Akay, Metin Akay, Jennifer A. Fogarty
The new era of space exploration is increasing the astronaut's number and diversity in low orbit and beyond. The influx of such a diverse crew population will also increase the need for medical technologies to ensure safe and productive missions. Such a need represents a unique opportunity to innovate and develop diagnostics and treatment tools to meet future needs. Historically, terrestrial regulatory
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Motor and Cognitive Modulation of a Single Session of Transcutaneous Auricular Vagus Nerve Stimulation in Post Stroke Patients: A Pilot Study IEEE Open J. Eng. Med. Biol. Pub Date : 2023-04-21 M. Colombo, S. Aggujaro, N. Lombardi, A. Pedrocchi, F. Molteni, Eleonora Guanziroli
Objective : The aim of the present study is to explore whether a single session of transcutaneous Vagus Nerve Stimulation (tVNS) can enhance the ipsilesional, and contralesional upper limb motor functions as well as cognitive functions in stroke patients. The effects of the stimulation were evaluated through two different tasks: the box and blocks test (BB), indexing manual dexterity, and the Go/No-go