| Literature DB >> 33784625 |
Wei Jiang, Sumit Majumder, Samarth Kumar, Sophini Subramaniam, Xiaohe Li, Ridha Khedri, Tapas Mondal, Mansour Abolghasemian, Imran Satia, M Jamal Deen.
Abstract
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.Entities:
Mesh:
Year: 2022 PMID: 33784625 PMCID: PMC8905615 DOI: 10.1109/RBME.2021.3069815
Source DB: PubMed Journal: IEEE Rev Biomed Eng ISSN: 1937-3333