Task analysis

Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder

Author(s): Ashlesha Akella, Avinash Kumar Singh, Daniel Leong, Sara Lal, Phillip Newton, Roderick Clifton-Bligh, Craig Steven McLachlan, Sylvia Maria Gustin, Shamona Maharaj, Ty Lees, Zehong Cao, Chin-Teng Lin
Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Mental stress is a major problem in our society and has become an area of interest for many psychiatric researchers. One primary research focus area is the identification of…

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Identifying hand use and hand roles after stroke using egocentric video

Author(s): Meng-Fen Tsai, Rosalie H. Wang, José Zariffa
Identifying hand use and hand roles after stroke using egocentric video 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Upper limb (UL) impairment impacts quality of life, but is common after stroke. UL function evaluated in the clinic may not reflect use in activities of daily living (ADLs)…

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Massage Therapy’s Effectiveness on the decoding EEG rhythms of Left/Right Motor Imagery and Motion Execution in Patients with Skeletal Muscle Pain

Author(s): Huihui Li, Kai Fan, Junsong Ma, Bo Wang, Xiaohao Qiao, Yan Yan, Wenjing Du, Lei Wanga
Massage Therapy’s Effectiveness on the decoding EEG rhythms of Left/Right Motor Imagery and Motion Execution in Patients with Skeletal Muscle Pain 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the…

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Autonomous Robot for Removing Superficial Traumatic Blood

Author(s): Baiquan Su, Yu Shi, Xintong Li, Yi Gong, Han Li, Zifeng Ren, Yijing Xia, He Wang, Yucheng Zhang, Wei Yao, Junchen Wang, Jie Tang
Autonomous Robot for Removing Superficial Traumatic Blood 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: To remove blood from an incision and find the incision spot is a key task during surgery, or else over discharge of blood will endanger a patient’s life. However,…

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LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control

Author(s): Arvind Gautam, Madhuri Panwar, Archana Wankhede, Sridhar Arjunan, Ganesh Naik, Amit Charyya, Dinesh Kumar
LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we…

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Cardiac-DeepIED: Automatic Pixel-level Deep Segmentation for Cardiac Bi-ventricle Using Improved End-to-End Encoder-Decoder Network

Cardiac-DeepIED: Automatic Pixel-level Deep Segmentation for Cardiac Bi-ventricle Using Improved End-to-End Encoder-Decoder Network

Author(s): Xiuquan Du, Susu Yin, Renjun Tang, Yanping Zhang, Shuo Li
Cardiac-DeepIED: Automatic Pixel-level Deep Segmentation for Cardiac Bi-ventricle Using Improved End-to-End Encoder-Decoder Network 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     Abstract Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great significance to analyze and evaluate the function of the cardiovascular system. However, the complex…

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Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients

Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients

Author(s): Si Mon Kueh, Tom J. Kazmierski
Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients 780 308 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

  This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in the hospital and at home during their daily living…

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