The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review

Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP)

“…A systematic review of wearable sensors in detecting COVID-19 reported these investigations as promising but also highlighted the need for investigations in broader populations. 36 Based on this interim analysis, a 20 000-person randomised controlled trial is underway to test the real-time efficacy of the RNN algorithm which can act on real-time machine-learning-driven alerts about the likelihood of a COVID-19 infection before symptoms are reported. 13 The initial results from this larger trial are expected in December 2022, with a wider validation and more practical implications of the first presented data approach.…”

“…However, RT-PCR testing remains the most effective method to confirm COVID-19 infections. A systematic review of wearable sensors in detecting COVID-19 reported these investigations as promising but also highlighted the need for investigations in broader populations 36. Based on this interim analysis, a 20 000-person randomised controlled trial is underway to test the real-time efficacy of the RNN algorithm which can act on real-time machine-learning-driven alerts about the likelihood of a COVID-19 infection before symptoms are reported 13.…”

Smart Consumer Wearables as Digital Diagnostic Tools: A Review

“…It was able to detect COVID-19 in the pre-symptomatic period as well as the symptomatic phase of the patients, with a precision score of 0.91 (CI: 0.854–0.967) [ 10 ]. Cho et al proposed a one-class SVM method that can detect COVID-19 23.5–40% earlier compared to the method of Mishra et al [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 ,…”

“…The remotely accessed, real-time-monitored, continuous data recording in a personalized manner has made wearables an effective tool for the diagnosis of physiological conditions. It has been found that the physiological parameters obtained from these biosensors can be used in the detection of Lyme disease [ 1 ], respiratory infections, cardiovascular disorders [ 13 , 14 ], neurological disorders [ 15 ], coronavirus diseases [ 16 , 17 , 18 ], Parkinson’s disease [ 19 ], diabetes, liver diseases, and others. Not only can they detect physiological diseases, but wearables can also be employed to diagnose psychological states.…”

Achieving broad availability of SARS-CoV-2 detections via smartphone-based analysis

“…With the continued transmission of this virus around the world, there has been increasing demand for more convenient, sensitive, accurate, and inexpensive tests [ 1 , 2 ]. Currently, the SARS-CoV-2 analysis mainly depends on recognizing the following targets: nucleic acids [ [3] , [4] , [5] ], non-nucleic acids such as antigens [ [6] , [7] , [8] , [9] ], antibodies [ [10] , [11] , [12] ], associated biomarkers [ 13 , 14 ], symptom-related parameters [ 15 ], or multiplex factors [ 16 , 17 ]. Among these strategies, the real-time quantitative polymerase chain reaction (PCR) (RT-PCR) relying on nucleic acid amplification and detection is the most widely used and accurate [ 18 ].…”