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10.1109/RBME.2021.3069815 http://scihub22266oqcxt.onion/10.1109/RBME.2021.3069815 33784625!8905615!33784625     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       IEEE+Rev+Biomed+Eng 2022 ; 15 (ä): 61-84 Nephropedia Template TP {{tp|p=33784625|t=2022. A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases |pdf=|usr=}}{{33784625}} gab.com Text A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases JO: IEEE Rev Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=33784625 #FOAvip Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic since early 2020. The coronavirus disease 2019 (COVID-19) has already caused more than three million deaths worldwide and affected people's physical and mental health. COVID-19 patients with mild symptoms are generally required to self-isolate and monitor for symptoms at least for 14 days in the case the disease turns towards severe complications. In this work, we overviewed the impact of COVID-19 on the patients' general health with a focus on their cardiovascular, respiratory and mental health, and investigated several existing patient monitoring systems. We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature, heart rate, heart rate variability, blood oxygen saturation, respiratory rate, blood pressure, and cough. This physiological information can be further combined to potentially estimate the lung function using artificial intelligence (AI) and sensor fusion techniques. The prototype, which includes the hardware and a smartphone app, showed promising results with performance comparable to or better than similar commercial devices, thus potentially making the proposed system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases. Twit Text FOAVip A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases ????IEEE Rev Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=33784625 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33784625 #FOAvip English Wikipedia <ref>{{Cite pmid|33784625}}</ref> A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases #MMPMID33784625 Jiang W; Majumder S; Kumar S; Subramaniam S; Li X; Khedri R; Mondal T; Abolghasemian M; Satia I; Deen MJ IEEE Rev Biomed Eng 2022[]; 15 (ä): 61-84 PMID33784625show ga Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic since early 2020. The coronavirus disease 2019 (COVID-19) has already caused more than three million deaths worldwide and affected people's physical and mental health. COVID-19 patients with mild symptoms are generally required to self-isolate and monitor for symptoms at least for 14 days in the case the disease turns towards severe complications. In this work, we overviewed the impact of COVID-19 on the patients' general health with a focus on their cardiovascular, respiratory and mental health, and investigated several existing patient monitoring systems. We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature, heart rate, heart rate variability, blood oxygen saturation, respiratory rate, blood pressure, and cough. This physiological information can be further combined to potentially estimate the lung function using artificial intelligence (AI) and sensor fusion techniques. The prototype, which includes the hardware and a smartphone app, showed promising results with performance comparable to or better than similar commercial devices, thus potentially making the proposed system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases. |*COVID-19[MESH] |*Wearable Electronic Devices[MESH] |Artificial Intelligence[MESH] |Chronic Disease[MESH] |Humans[MESH] |Oxygen Saturation[MESH]A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic (epmc).pdf DeepDyve Pubget Overpricing