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MSDRA-NET: A MULTI-SCALE ATTENTION-GUIDED NETWORK FOR MAGNETIC RESONANCE IMAGE RESTORATION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-15 XUEXIAO YOU, NING CAO, WEI WANG
The acquisition and transmission of magnetic resonance (MR) images are frequently affected by random noise pollution, which hampers the diagnosis of diseases by doctors or automated systems. Hence, the search for advanced denoising methods is of great research interest, particularly in magnetic resonance imaging (MRI) denoising models, which are based on deep learning networks and achieve satisfactory
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AN EEG-BASED EMOTION RECOGNITION MODEL USING AN INTERACTION DESIGN FRAMEWORK AND DEEP LEARNING J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-15 LI WANG, JUNGWOOK GO, XIANG CHEN
This research makes significant advances in the field of emotion recognition by presenting a new generative adversarial network (GAN) model that integrates deep learning with electroencephalography (EEG). To achieve more accurate data production and real data matching, the model utilizes self-attention and residual neural networks. Additionally, this process is accomplished by substituting an autoencoder
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ENHANCED CHAMELEON SWARM OPTIMIZATION-BASED ENSEMBLE LEARNING APPROACH FOR SLEEP STAGE CLASSIFICATION FRAMEWORK J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-15 A. RAVI RAJA, PHANI KUMAR POLASI
In today’s world, every individual faces the maladies of sleep malfunction, which is diagnosed by analyzing the PolySomnoGraphy (PSG) records. The primary remedy is systematically identifying the sleep stages. But practically, the sleep stage analysis depends on the visual examination of the 30s time duration of PSG record signals. Such expertise has developed an enormous model to rectify the issues
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APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF THYROID CANCER WITH ENHANCED COMPUTED TOMOGRAPHY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-09 NA HAN, JINRUI FAN, DONGWEI CHEN, YAPENG WANG
Thyroid Cancer (TC) is a common malignant tumor, head and neck in the incidence of malignant tumors in the seventh, ranked fourth in the incidence in women. There are several methods to diagnose and recognize TC, such as ultrasonic, computed tomography (CT) and other means. While, it is an important role for CT examination in the diagnosis of TC, because it has the characteristics of objectivity, repeatability
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COMPOUND TRAINING: A STUDY ON THE INFLUENCE ON THE BOUNCING FORCE OF VOLLEYBALL PLAYERS WHEN THEY JUMP AND SPIKE THE BALL J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-09 YUHUI GE, JUAN YIN, QINGYAO Song
Objective: This paper aims to investigate the impact of compound training (CT) on the jumping spike performance of volleyball players. Methods: Twenty athletes were randomly assigned to either the CT group or the resistance training (RT) group. After eight weeks of training, the results for in-situ jump and reach, run-up jump and reach, as well as squat jump (SJ), counter-movement jump (CMJ), and run-up
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COMPARISON OF DIFFERENT MATERIAL CONSTITUTIVE MODELS FOR PREDICTING AORTIC BIOMECHANICAL RESPONSE AND INJURY IN BLUNT SIDE IMPACTS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 ZHENGWEI MA, JIQING CHEN, TIANYA DU
Traumatic rupture of the aorta (TRA) is highly lethal in motor vehicle collisions (MVCs). Human body biomechanical models (HUBMs) show promise as useful tools for better comprehension of the mechanical response and injury mechanism of TRA. However, the prediction accuracy largely depends on its material modeling. This study investigated the performance of the isotropic elastic material constitutive
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NUMERICAL SIMULATION OF BLOOD FLOW THROUGH NORMAL AND STENOTIC CAROTID ARTERY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 GUOJIE LI, BIN CHEN, XINKAI WANG, PENG NIE
The carotid artery sinus is often the site of vascular diseases such as atherosclerosis, which may induce cerebral stroke. Individual differences in the carotid artery can lead to different possibilities for atherosclerosis, and the different hemodynamics of the carotid artery with stenosis can help to reveal the occurrence of atherosclerosis. In this work, the hemodynamics in the patient-specific
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HBPGEO: AN APPLICATION SYSTEM FOR ANALYZING AND VISUALIZING GENE EXPRESSION DATA OF HYPERTENSION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 ZONGJIN LI, LIQIN TIAN, JIYU YANG, ZEYU JIA, CHENGYING YAN, WENJING QU, XINYUE MA, CHANGXIN SONG, XIAOMING WU
The analysis of gene expression data using existing methods and tools has become a fundamental approach for researchers to explore the mechanisms of hypertension. However, many researchers lack programming skills or statistical knowledge. Although gene expression data is widely available, they originate from various experiments with different standards and quality levels, causing inconvenience to researchers
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EFFECT OF QUANTITATIVE ACUPUNCTURE LIFTING AND INSERTING MANIPULATION ON THE EXPRESSION OF FFAR4 RECEPTOR IN OBESE RATS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 PING ZHENG, WEIGANG WANG, FANG JI, CHENGYONG LIU, MUZHI PAN, YAN HUO, MENGQIAN YUAN, PENGLI SI, BINGWEI AI
This study is based on the theory of “acupuncture technique metrology” and explores the effect of acupuncture technique on lipid reduction in obese rats. After applying a new and improved acupuncture method — quantitative pulling and inserting acupuncture techniques — to rats, we found that it can alter the expression of FFAR4 receptors and inflammatory factors in obese rats. The results showed that
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PERCEIVED AND BIOMECHANICAL EFFECTS OF RUNNING SHOE CENTER OF GRAVITY SHIFTING IN AMATEUR MALE RUNNERS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 FAN YANG, TIANYU HAN, TONGTONG GUO, HUANHUAN MENG, MINGHUI YANG, ZHAOQI YAN, ZHAOWEI CHU, FENGQIN FU, YUXI WANG
This study examined the influence of running shoe center of gravity relative position shifting forward and backward in sagittal axis on male amateur runners. Twenty-three adult male runners were recruited through social media with paid to participate in this study. The experimental shoe used was the Li Ning Feidian Challenger 3. Forward center of gravity (FCG), defined as the shoe center of gravity
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INTRAOPERATIVE SURGICAL NAVIGATION BASED ON LASER SCANNER FOR IMAGE-GUIDED ORAL AND MAXILLOFACIAL SURGERY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-07 FANG LI, CONGGANG HUANG, XIANGMING FENG, LE WANG, CHUXI ZHANG, XINRONG CHEN
In oral and maxillofacial surgery, computer-assisted navigation technologies have been widely used to achieve intraoperative positioning. The traditional methods mainly rely on the experience of doctors and the difference between the locations of key points in the surgical area and the preoperative planning, which have certain limitations. In this paper, a new intraoperative surgical navigation framework
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GENERATIVE REINFORCEMENT LEARNING-BASED METHOD FOR OPTIMIZING THE MULTIPLE ACUPOINT SEQUENCE FOR ACUPUNCTURE TREATMENT OF DEPRESSIVE INSOMNIA J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 CHONG SU, ZIYI CHEN, XURI MA, JINLING ZHANG, PEIJING RONG
Acupuncture treatment (AT) of depressive insomnia by traditional Chinese medicine has the advantages of fewer side effects, quicker results, and lower prices compared to medication and psychological and cognitive therapy. Clinicians often select multiple acupoints, such as Bai Hui (GV20), San Yin Jiao (SP6), and Shen Men (HT7), for combined treatment in a single AT session to improve sleep quality
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A CONSUMER SENTIMENT ANALYSIS METHOD BASED ON EEG SIGNALS AND A RESNEXT MODEL J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 XIAOYING SHEN, CHAO YUAN
E-commerce is becoming increasingly dependent on technologies such as consumer sentiment research at an ever-increasing rate. Its purpose is to recognize and comprehend the feelings and dispositions of customers by analyzing customer language and behavior as expressed in social media, online reviews, and other forms of digital communication. The proliferation of digital technology has resulted in an
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AN EPILEPSY DIAGNOSIS METHOD BASED ON A TRANSFERRED ALEXNET MODEL AND EEG SIGNALS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 QING ZHANG, CONG LI, YANG DING
Epilepsy is a neurological disorder, and its sudden seizures pose a serious threat to the quality of life of patients. Not only does this condition cause patients to potentially lose control and consciousness during seizures, leading to possible injuries or dangerous situations, but it also has a significant impact on their mental health, triggering issues such as anxiety and depression. An intelligent
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APPLICATION AND EVALUATION OF A MULTI-SCALE ASSESSMENT MODEL FOR ELDERLY DISABILITY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 LI WANG, SHEN FENG, YIN WEI, WENTING XU, RUOHAN HOU, JUNHUI ZHOU, ZHENLIANG HUANG, ZEGUO SHAO
As the aging population continues to grow, the increasing number of disabled elderly individuals poses ongoing challenges to society in terms of healthcare and medical burdens. Grading disability is of significant importance for improving medical services and allocating social resources. Traditional grading methods using a single assessment scale tend to be subjective and cannot comprehensively and
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AN OPTIMIZED RESIDUAL NETWORK FOR EMOTION RECOGNITION BASED ON A MULTI-FEATURES FUSION TECHNOLOGY AND ELECTROENCEPHALOGRAPHY SIGNALS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 ENMAN JIN, QINYONG WANG, PEIYU CHEN, LU PAN
Presently, a significant number of students enrolled in colleges and universities encounter mental health challenges, including academic stress and difficulties in interpersonal relationships. These factors contribute to a decline in mental well-being and necessitate prompt intervention and assistance. The automation of mental health identification in students greatly benefits from the implementation
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ENHANCING TONGUE REGION SEGMENTATION THROUGH SELF-ATTENTION AND TRANSFORMER BASED J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 YIHUA SONG, CAN LI, XIA ZHANG, ZHEN LIU, NINGNING SONG, ZUOJIAN ZHOU
As an essential component of traditional Chinese medicine diagnosis, tongue diagnosis has faced limitations in clinical practice due to its subjectivity and reliance on the experience of physicians. Recent advancements in deep learning techniques have opened new possibilities for the automated analysis and diagnosis of tongue images. In this paper, we collected 500 tongue images from various patients
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LOCALIZATION METHOD OF HUMAN SKELETAL SEQUENCE MOVEMENTS IN ICE SPORTS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 PENG QIAN, LIANZHONG CAO
A method based on kernel extreme learning machine is proposed for accurate localization and recognition of human bones. In this method, the human skeleton is divided into 16 key nodes based on physiology, and the human skeleton model is formed by connecting lines between the nodes. The sequence images of human actions are taken as input and fed into the input and hidden layers of the extreme learning
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A STUDY ON THE EFFECT OF AEROBIC FITNESS ON THE SYNCHRONICITY OF BRAIN NERVE–LIMB MOVEMENT IN HUMANS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 YANLIN XU, FUYU GUAN, JIE REN
In order to analyze the synchronization ability of human brain nerve–limb movement, a research framework based on the gray wolf algorithm was constructed. The response timestamp data of human brain nerves was obtained under command excitation using a near-infrared brain functional imaging testing system as input for the gray wolf algorithm. The body motion response timestamp data was used as the output
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ANALYSIS OF EFFECTS OF MIND-BODY ACTIVATION STRATEGIES IN PROMOTING REHABILITATION OF ELDERLY STROKE PATIENTS — REINTEGRATION BASED ON THE ICF COMPREHENSIVE FUNCTIONAL FRAMEWORK J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 PING XIE, BUGANG GAO, YUAN LIU, DAN SHEN
The objective of this study was to fully implement the comprehensive rehabilitation concept based on the International Classification of Functioning, Disability and Health (ICF) and integrate Mind-body Activation strategies into the holistic rehabilitation and supportive treatment of elderly patients with post-stroke hemiparesis. The aim was to assess the potential of promoting overall recovery in
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BIOMEDICAL IMAGE SEGMENTATION BASED ON DEEP LEARNING ALGORITHMS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 MIAOHE NIU, XUELI WANG
A new biomedical image segmentation method based on deep learning networks has been constructed. Under the framework of deep learning, a dual-branch deep learning network structure was designed to perform average pooling and maximum pooling on input image data, respectively. The results of pooling processing are sent to multi-layer convolution for further processing, where 2D convolution and dilated
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MOTION-STIMULATED EEG RECOGNITION BY YOLO DEEP NETWORK J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 XU ZHANG
In order to elucidate the relationship between sportsman motion awareness and brain waves from a physiological perspective, research was conducted on the recognition of motion-stimulated brain waves. A motion-stimulated electroencephalogram (EEG) recognition method based on the You Only Look Once (YOLO) deep network is proposed to address the high complexity, high interference, strong randomness, and
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KINEMATICS OF LOWER LIMBS DURING SQUATTING FOR CHINESE MALE AND FEMALE YOUTHS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-03-06 SHAN WEI, CHENGTAO XU, RENGANG ZHANG, ASSIA FAIK, ZHENGYU WANG, YUEYUE TANG, XINXIN ZHANG, HE LIU
This research aimed to measure lower extremity kinematics for male and female youths during daily activities and to identify gender differences from kinematics of lower limbs. A total of 87 healthy participants, comprising 43 Chinese male youths and 44 female youths, were recruited from Anhui Polytechnic University to participate in this research. All participants were instructed to perform squatting
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APPLICATION OF NEW RETRIEVAL METHODS IN MICROSCOPIC MEDICAL IMAGES AND CT IMAGES J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 SHUANG LIU, DEQUAN ZHENG
Medical image retrieval is of great significance for forming correct medical judgments during the diagnosis and treatment process. In response to the fact that there are rich types of features in medical images, this paper constructs a multi-feature fusion model and applies it to medical image retrieval. This multi-feature fusion model utilizes three features. Color information is characterized using
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RESEARCH ON HUMAN POSTURE RECOGNITION METHOD BASED ON DEEP LEARNING J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 ZIRAN SHAN, ZHIPENG LI, WENLI SONG
The dynamic recognition of human posture has very broad application prospects in fields such as human–computer interaction and virtual reality. A new method for dynamic recognition of human posture is proposed within the theoretical framework of deep learning. In our method, historical image information of human posture, current image information of human posture, and association information between
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SSDNet: A SEMISUPERVISED DEEP GENERATIVE ADVERSARIAL NETWORK FOR ELECTROENCEPHALOGRAM-BASED EMOTION RECOGNITION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 JUAN XU, LIJUN XU, KAI LIU, QING YANG, YAXIN ZHENG
This research introduces a novel method for emotion recognition using Electroencephalography (EEG) signals, leveraging advancements in emotion computing and EEG signal processing. The proposed method utilizes a semisupervised deep convolutional generative adversarial network (SSDNet) as the central model. The model fully integrates the feature extraction methods of the generative adversarial network
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MAC: EPILEPSY EEG SIGNAL RECOGNITION BASED ON THE MLP-SELF-ATTENTION MODEL AND COSINE DISTANCE J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 PEIJUAN LI, YITING LIU, WEI CAI, XIN LIU
In current epilepsy disease research, accurate identification of epilepsy electroencephalogram (EEG) signals is crucial for improving diagnostic efficiency and developing personalized treatment plans. This study proposes an innovative epilepsy recognition model, MAC, which combines the unique advantages of a multilayer perceptron (MLP), a self-attention mechanism and the cosine distance. This model
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BLADDER WALL SEGMENTATION AND CANCER ASSESSMENT USING ATTENTION U-NET WITH ADVERSARIAL MECHANISM AND TWO-LAYER LEVEL SETS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 HAIYANG LUAN, BENTENG MA, ZHANGZHEN SHI, YU LIU
Improving the segmentation of bladder mucosa and serosa is a significant advancement for enhancing the diagnosis and treatment of bladder cancer, leading to a better understanding of the disease and improved decision-making accuracy for physicians. However, the primary aim of multi-region segmentation in bladder cancer is to facilitate the staging of the disease, specifically distinguishing between
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A MENTAL ILLNESS EARLY WARNING ANALYSIS MODEL USING AN IMPROVED SVM ALGORITHM AND EEG SIGNALS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 DANHUI DONG, XIAOYING SHEN, BAO-PING YAN
The fast-paced lifestyle, intense competition, and constantly changing environment of modern society are important factors contributing to the emergence of psychological disorders. Factors such as work pressure, family conflicts, and interpersonal relationship difficulties pose challenges to individual mental health. Prolonged use of electronic devices and the widespread use of social media further
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HUMAN MECHANICS MODELING AND EXPERIMENTAL RESEARCH IN SPEED SKATING SPORTS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 CHENGXUE GUAN, HUIYING REN, HUANYI ZHANG, CHUNHUI ZHANG
To better assist speed skaters in scientific training, a human skeleton model was constructed from the perspectives of human mechanics and biomechanics. Based on the correspondence between the human skeletal model and the multi-body rigid body theory, the variation laws of angle and angular acceleration between human skeletal joints were deduced, and a dynamic model was constructed. An experimental
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ANALYSIS OF HUMAN LOWER LIMB DYNAMICS AND GAIT RECONSTRUCTION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 TIE LIU
In order to achieve gait reconstruction of human posture, a 7-degree-of-freedom model of the human lower limbs is proposed. On the basis of this model, dynamic analysis was conducted and the Lagrange equation of the human lower limb dynamic system was constructed. In the process of solving the kinetic energy–potential energy relationship of the Lagrange equation, the angular solutions of each joint
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INSIGHTS INTO HUMAN LOCOMOTION STRATEGIES AND MOTOR LEARNING FOR AN AGEING POPULATION USING TRANSFER TESTING AND COUPLED SIMULATIONS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-02-28 KATHARINE NOWAKOWSKI, PHILIPPE CARVALHO, KARIM EL KIRAT, TIEN-TUAN DAO
The elucidation of human locomotion strategies has potential applications in the prevention of sarcopenia and in the reduction of falls. Given the diverse biochemical, mechanical and functional age-related changes seen in the neuro-musculoskeletal system, the decline in motor function is difficult to study experimentally. In this study, we use transfer testing and coupled simulation strategies within
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MECHANICAL BEHAVIOR OF A NEW STENT WITH NEGATIVE POISSON’S RATIO: THE INFLUENCE OF GEOMETRIC PARAMETERS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2024-01-25 DONG-MEI ZHU, YAO DU, GUANG-YANG LU, CHENG-ZHAO
For the proposed new negative Poisson’s ratio vascular stent, the effects of stent parameters on radial resilience, axial shortening rate, and radial support stiffness were compared and analyzed based on finite element methods and orthogonal tests, considering the complete compression-grip expansion process of the stent. It was concluded that decreasing the wall width of the cell structure or increasing
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DEEP LEARNING-BASED FEATURE FUSION AND TRANSFER LEARNING FOR APPROXIMATING pIC VALUE OF COVID-19 MEDICINE USING DRUG DISCOVERY DATA J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-12-23 AMOL DATTATRAY DHAYGUDE, MEHADI HASAN, M. VIJAY
The pandemic disease Coronavirus 2019 (COVID-19) caused thousands of infections and deaths globally. It is important to introduce new medicines to address the critical situation in the medical system. The determination of approximate pIC value is necessary for designing medicines based on molecular compounds. Generally, the approximation of pIC value is a lengthy process, so it is difficult and time-consuming
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THE INFLUENCE OF SEX FACTOR ON THE MODELING OF THE HUMAN HAND/ARM INTERACTING WITH A TELEOPERATION SYSTEM J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-12-11 MAHSHAD KADKHODAZADE, MINA POURMOKHTARI, BEHNAM YAZDANKHOO, BORHAN BEIGZADEH
This paper addresses the lack of research on the dynamical differences between male and female hand/arm models during interaction with haptic systems. A linear one-degree-of-freedom experiment is designed using the Novint Falcon robot for this aim. To compare the differences, the study analyzes the pole, stiffness, and damping of a first-order two-parameter spring–damper model. The Mann–Whitney U and
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CONTINUOUSLY CONTROLLABLE ARTIFICIAL DETRUSOR SYSTEM AND ITS CONTROL STRATEGY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-12-08 YAPENG LI, XIAO LI
In this paper, a new artificial detrusor system is proposed to achieve continuous control over the urination process and realize the normal voiding process of human (NVPH). The system is powered by a wireless power transfer (WPT) module, controlled by a control module and actuated by a shape memory alloy (SMA) spring. The design method of the SMA springs is proposed. Two control strategies are proposed
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NEW TECHNIQUE OF ELECTROCARDIOGRAM DENOISING BASED ON 1D DOUBLE-DENSITY COMPLEX DWT AND STATIONARY BIONIC WAVELET TRANSFORM J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-27 MOURAD TALBI
In this paper, we propose a new electrocardiogram (ECG) denoising technique based on the application of a 1D double-density complex discrete wavelet transform (DWT) denoising method in the stationary bionic wavelet transform (SBWT) domain. SBWT was introduced in our previous work for speech enhancement. The first step in this proposed ECG denoising technique consists of applying the SBWT to the noisy
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STEADY THERMAL TRANSPORT DEVELOPMENT OF ELECTRIC DOUBLE LAYER FLOW IN BIPHASE LIQUID THROUGH POROUS MEDIUM J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-27 KAMEL GUEDRI, MUBBASHAR NAZEER, FAROOQ HUSSAIN, M. IJAZ KHAN, SHAHID FAROOQ, AHMED M. GALAL
A theoretical analysis of a multi-phase fluid problem is presented in this paper. Electro-osmotic flow with heat transfer in a divergent channel is modeled. Jeffrey fluid is taken as the base liquid, which suspends with the spherical gold particles. Electromagnetohydrodynamic (EHD) of a two-phase fluid through a porous medium is influenced by thermal radiation. Cumbersome mathematical manipulations
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CHANGE IN MUSCLE ACTIVITY PATTERNS OF THE BRACHIALIS AND BICEPS BRACHII DURING DYNAMIC ELBOW FLEXION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-27 SHOTA DATE, HIROSHI KURUMADANI, KAZUYA KURAUCHI, YOSUKE ISHII, TORU SUNAGAWA
In this study, we investigated the changes in the muscle activities of the brachialis (BR) and biceps brachii (BB) during dynamic elbow flexion under different movement velocity and load conditions. Twenty healthy adult males performed isotonic elbow flexions in the full range of motion (0–140∘) under angular velocities of 30∘/s and 60∘/s, and with (30% maximum torque) and without load conditions.
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A HYBRID RECOGNITION METHOD VIA KELM WITH CPSO FOR MMG-BASED UPPER-LIMB MOVEMENTS CLASSIFICATION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-21 GANGSHENG CAO, YUE ZHANG, HANYANG ZHANG, TONGTONG ZHAO, CHUNMING XIA
Mechanomyography (MMG) is a low-frequency signal emitted during muscle contraction; it can overcome the inherently unreliable defects of electromyography (EMG) and electroencephalography (EEG). For MMG-based movement pattern recognition, this paper proposes an innovative kernel extreme learning machine (KELM) based on the chaotic particle swarm optimization (CPSO), namely CPSO–KELM. By using CPSO–KELM
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A COMPARATIVE STUDY OF 2D AND 3D SCAN-BASED 3D-PRINTED WRIST SPLINTS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-21 WONSEUK CHOI, WAN-HO JANG
This crossover design study was conducted to verify the usefulness of two-dimensional (2D) scan-based three-dimensional (3D)-printed wrist splints versus that of 3D scan-based 3D-printed wrist splints. To apply the two splints to the participants, made using different methods, a crossover design was applied by randomly assigning two groups of five people each. Their work performance and wrist pain
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NEW APPROACH FOR DIGITAL RECOVERY FOR 12 LEAD ECG RAW DATA FROM COLOR SCANNED IMAGE OF PRINTED RECORD J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-20 RAFAH H. SHALLAL, MUHAMMAD ILYAS, SAMEER K. SALIH
Many medical reports and documents in printed form are available in huge sizes in archive units inside medical centers and hospitals around the world. The printed electrocardiogram paper is one type of archive data and is more powerful for expert cardiologists to study various cardiac diseases. On the other hand, the widespread development in the ability of intelligent computer systems to process digital
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A MECHANO-BIOLOGICAL STUDY COMPARING EXTERNAL FIXATION USING MONOCORTICAL AND BICORTICAL PINS IN TIBIAL DIAPHYSEAL FRACTURE MODELS: A FINITE ELEMENT ANALYSIS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-20 TARGOL BAYAT, YOUSOF MOHANDES, MOHAMMAD TAHAMI, MASOUD TAHANI
Extramedullary devices are used extensively to stabilize fractures in long bones. The type of pin–bone anchorage is a determining factor in fixation properties, which differ between mono-cortical and bi-cortical stabilizations. This computational study compares the effects of mono-cortical and bi-cortical pins of a unilateral uniplanar external fixator on the construct stiffness, the early phase of
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COMPUTATIONAL STUDY OF UNSTEADY PULSATILE BLOOD FLOW THROUGH A POROUS MULTI-IRREGULAR VERTICAL STENOSED ARTERY: IMPACTS OF HOMOGENEOUS–HETEROGENEOUS REACTIONS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-11-04 M. A. EL KOT, Y. ABD ELMABOUD
Homogeneous and heterogeneous reactions are significant because many chemically reactive systems, such as biochemical systems, involve both types of reactions. This paper sheds light on the effects of homogeneous–heterogeneous reactions on magnetohydrodynamic blood flow through the catheterized multi-irregular vertically stenosed artery in non-Darcy porous media. The governing partial differential
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PREDICTING CARDIAC HEALTH USING SUB-COMPONENT OF A PHONOCARDIOGRAM J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-30 SHRUTI ARORA, SUSHMA JAIN, INDERVEER CHANA
There has been a steady rise in the number of deaths throughout the world due to heart diseases. This can be mitigated, to a large extent, if cardiovascular disorders can be detected timely and efficiently. Electrocardiograms (ECGs) and phonocardiograms (PCGs) are the two most popular diagnostic tools used for detecting cardiac problems. Another simple and efficient method for quickly identifying cardiovascular
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INFLUENCE OF FEMUR LENGTH ON ASYMMETRY OF PROSTHETIC GAIT BIOMECHANICS IN TRANSFEMORAL AMPUTATION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-30 K. EZHUMALAI, ARPITA PADHI, RAJESH KUMAR MOHANTY, ROJALEEN PRADHAN, PATITAPABAN MOHANTY
This study compares the prosthetic gait asymmetry in transfemoral amputees with varied femoral lengths to able-bodied participants in terms of temporal-spatial parameters and joint kinematics. Sixteen young and active transfemoral amputees with short and long residual limbs were divided into two groups and subjected to three-dimensional quantitative motion analysis through high definition optoelectronic
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TDACVO: EXPONENTIAL TASMANIAN DEVIL ANTI-CORONAVIRUS OPTIMIZATION-ASSISTED DEEP MODEL FOR MULTI-LEVEL BRAIN TUMOR CATEGORIZATION J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-21 C. P. JETLIN, L. SHERLY PUSPHA ANNABEL
Tumors in the brain represent a general and serious disease that leads to small life expectancy. Hence, effective diagnosis preparation is indispensable to enhance the life quality of patients. This paper utilizes MRI for diagnosing the tumor in the brain. However, the MRI thwarts manual classification and poses drawbacks regarding precise quantitative measurements. Thus, automated cataloging of brain
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DYNAMIC BEHAVIOR OF DRAGONFLY WING VEINS INCLUDING THE ROLE OF HEMOLYMPH J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-07 SALEH MOBASSERI, AZAM ZARE, MAZIAR JANGHORBAN
Due to some outstanding properties of dragonfly wings, such as a lightweight structure with good aerodynamic performance, they have attracted the attention of many researchers. The microscopic and macroscopic structures of dragonfly wings play important roles in their behaviors. One of these structures that are spread all over the wing is vein. In this study, as the first endeavour, the geometric characteristics
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INVESTIGATION OF VASCULAR FLOW IN A THORACIC AORTA IN TERMS OF FLOW MODELS AND BLOOD RHEOLOGY VIA COMPUTATIONAL FLUID DYNAMICS (CFD) J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-07 GOKHAN CANBOLAT, MUSTAFA ETLI, OGUZ KARAHAN, MURAT KORU, ERGUN KORKMAZ
The studies on vascular flows have increased in the last decade. In this work; we have focused on the effects of flow model and blood rheology on hemodynamics for a real-subject scan using Computed Tomography Angiography (CTA) during numerical solutions. Various vascular flow studies using Newtonian or non-Newtonian blood models were presented in the literature with laminar or turbulent flow assumptions
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CASE STUDY OF A DISTAL FEMUR TI6Al4V LOCKED COMPRESSION PLATE FAILURE SURFACE INVESTIGATION AND FINITE ELEMENT ANALYSIS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-07 MURAT CAN, MEHMET AKIF OYMAK, SERDAR KOLUAÇIK, ERKAN BAHÇE, ÖMER FARUK UZUNYOL
In this study, the failure of locking compression plates (LCP) used in the treatment of bone fractures resulting from falls in orthopedic patients at Malatya Training and Research Hospital was investigated. The researchers examined the fracture surface of the failed Ti6Al4V LCP using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX) images. The fracture pattern of the
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DEVELOPMENT AND sEMG-BASED HIERARCHICAL CONTROL OF A HYBRID RIGID-SOFT KNEE EXOSUIT FOR CLIMBING STAIRS J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-07 ZHIXIAN CHEN, QINGCONG WU, YING CHEN
Climbing stairs is relatively challenging for seniors, post-stroke individuals or even healthy young men when carrying heavy objects. In this paper, we have developed a rigid-soft hybrid exosuit that helps the wearer to climb the stairs by offering a driving torque to the knee joint. By combining the advantage of rigid and soft exoskeletons, the exosuit is more comfortable when assisting wearers at
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AN ADAPTIVE ELLIPTICAL CURVE CRYPTOGRAPHY-RIVEST-SHAMIR-ADLEMAN-BASED ENCRYPTION FOR IoT HEALTHCARE SECURITY MODEL WITH BLOCKCHAIN TECHNOLOGY J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-04 M. MOHANA, VILAS V. DEOTARE, N. S. NINU PREETHA, G. BRAMMYA
The healthcare systems follow the path of client-server architecture in a centralized manner for managing the patient’s health information with the secure storage process. Medical data can be preserved in every medical institution that remains safely in silos. It could be able to access without proper authorization and cannot be transferred. At the same time, while handling massive data, the clinics
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RECOGNITION OF ATRIAL FIBRILLATION BASED ON CNN-LSTM AND LAPLACIAN SUPPORT VECTOR MACHINE J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-04 YING WANG, YONGJIAN LI, MENG CHEN, RUI HUO, LEI LIU, YESONG LIANG, SHOUSHUI WEI
Atrial fibrillation (AF) is a common arrhythmia associated with cardiac death and stroke. Therefore, the early detection of AF is of critical importance and the wearable long-term ECG monitoring system is one promising way. In order to assist the cardiologists in identifying potential AF in a tremendous amount of long-term ECG data, this study proposed an automatic detector combining deep learning
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COMPUTATIONAL ANALYSIS OF GRAVITY AND PRESSURE-DRIVEN OBLIQUE FLOW OF MULTIPHASE FLUID THROUGH THE STEEP DIVERGENT MICROCHANNEL J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-10-04 FAISAL Z. DURAIHEM, F. HUSSAIN, MUBBASHAR NAZEER, S. SALEEM, M. WAQAS NAZIR
In this computational study, we investigate the gravity and pressure-driven electroosmotic multiphase flow of third-grade fluid through steep microchannel by using the semi-analytical technique. A two-dimensional mathematical model is proposed here for the supercritical bi-phase flow with the suspension of the nanometallic particles. A special type of non-Newtonian fluid (third-grade) is selected as
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FRACTIONAL ORDER MODEL FOR CARDIOVASCULAR SYSTEM USING HEURISTIC OPTIMIZATION APPROACH J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-09-25 V. L. RESMI, N. SELVAGANESAN
Cardiovascular diseases like atherosclerosis, peripheral arterial disease, coronary heart disease, etc. are dangerous and hence early detection of such diseases is important in the field of medical sciences. The existing methods used for diagnosing diseases are time-consuming and highly expensive. On the other hand, experimentation with Cardiovascular System (CVS) for the analysis and decision making
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ON THE UNCERTAINTY QUANTIFICATION OF HYPERELASTIC PROPERTIES USING PRECISE AND IMPRECISE PROBABILITIES TOWARD RELIABLE IN SILICO SIMULATION OF THE SECOND-STAGE LABOR J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-09-25 TRIEU-NHAT-THANH NGUYEN, ABBASS BALLIT, PAULINE LECOMTE-GROSBRAS, JEAN-BAPTISTE COLLIAT, TIEN-TUAN DAO
Finite element models of the second-stage labor system have been commonly developed for providing objective and quantitative indicators as well as innovative therapeutic solutions for decision supports. However, the reliability of the simulation outcomes remains a challenging issue due to uncertainties in input data and model complexity as well as the lack of validation. The objective of this study
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COMPUTATIONAL MODELING OF A LAYERED AORTIC MEDIAL WALL CONSIDERING EFFECTIVE RESIDUAL STRESSES J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-09-25 ATSUTAKA TAMURA, KOKI MATSUMOTO
We previously developed a simplified finite element (FE) “unit” model to reproduce the mechanical interaction between the smooth muscle layer and elastic lamina (EL) in the aortic media. Nevertheless, whether this simplified FE model can represent the structure of a real medial wall and whether its modeling technique can help in developing a highly sophisticated and structure-based aortic FE model
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MATHEMATICAL MODELING OF BIOMOLECULAR INTERACTION OF ENZYME–SUBSTRATE–INHIBITOR SYSTEM J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-09-25 ROOHI BHAT, M. A. Khanday, F. A. ZARGAR
In applicative biosensor technology, mathematical modeling plays an indispensable role in explaining the transport of electrical signals by analyzing the binding behavior of the biochemical enzyme inhibitors to the target molecule. The biosensors are extensively used in clinical diagnostics, drug detention, food analysis and environment monitoring because they are highly sensitive, reliable and relatively
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OPTIMIZATION ENABLED DEEP LEARNING FOR STROKE DISEASE PREDICTION FROM MULTIMODALITIES J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-09-05 K. SARANYA, S. SUMATHI
Stroke is a disease that is caused due to the blockage and burst in the blood vessels of the brain, thus resulting in abrupt brain dysfunction, like sensory or motor disorders, unconsciousness, limb paralysis, and pronunciation disorders. The existing stroke prediction algorithms have some limitations because of the lengthy testing procedures and hefty testing expenses. The main goal of this study
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TRANSITION MOTION PATTERN CLASSIFICATION FOR LOWER LIMB EXOSKELETON IN STAIR SCENES BASED ON CNN AND GRU J. Mech. Med. Biol. (IF 0.8) Pub Date : 2023-08-31 FANGLI YU, JIANBIN ZHENG, LIE YU, HUI XIAO, QIANG CHEN, DI ZHANG
Motion pattern classification is one of the important research fields in lower extremity exoskeleton robot, it refers to acquiring motion data from multiple sensors installed on the exoskeleton. We designed a wearable lower limb exoskeleton robot with multiple sensors mainly including force sensitive resistors (FSRs) inside smart shoes and encoders inside joints. The wearable robot was used to help