wireless communication

Assessment of residual radioactivity by a comprehensive wireless, wearable device in thyroid cancer patients undergoing radionuclide therapy and comparison with the results of a home device: a feasibility study
Author(s)3: R. Gallachio, D. Scapicchio, A. Nardelli, T. Pellegrino, M. Prisco, P. Mainenti, C. Sirignano, P. Pedicini, G. Storto
Assessment of residual radioactivity by a comprehensive wireless, wearable device in thyroid cancer patients undergoing radionuclide therapy and comparison with the results of a home device: a feasibility study 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: To investigate the feasibility of using a wireless wearable device (WD) in differentiated thyroid cancer (DTC) patients undergoing radionuclide therapy with I-131 (RAI) and protected hospitalization, this study compared…

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Non-contact Early Warning of Shaking Palsy

Non-contact Early Warning of Shaking Palsy
Author(s)3: Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Daniyal Haider, Muhammad Bilal Khan, Jie Tian
Non-contact Early Warning of Shaking Palsy 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Abstract Objective: Parkinsonian gait is a defining feature of Shaking Palsy (SP) and it has one of the worse impact on human healthy life than other SP symptoms. The…

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Sleep Apnea Syndrome Sensing at C-Band

Sleep Apnea Syndrome Sensing at C-Band
Author(s)3: Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Fangming Hu, Weigang Wang, Masood Ur Rehman, Jie Tian
Sleep Apnea Syndrome Sensing at C-Band 780 780 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

         A non-intrusive sleep apnea detection system using a C-Band channel sensing technique is proposed to monitor sleep apnea syndrome in real time. The system utilizes perturbations of RF signals…

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Real time gesture recognition results to control a five-finger dexterous robot

An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning
Author(s)3: Geng Yang, Jia Deng, Gaoyang Pang, Hao Zhang, Jiayi Li, Bin Deng, Pang Zhibo, Juan Xu, Mingzhe Jiang, Pasi Liljeberg, Haibo Xie, Huayong Yang
An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning 745 426 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

            Part of the Special Issue on Advanced Internet of Things in Personalized Healthcare Systems: Validation, Analysis and Utilization Abstract Surface electromyography signal plays an important role in hand function…

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