CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks

Hassantabar, Shayan; Novati, Stefano; Ghanakota, Vishweshwar; Ferrari, Alessandra; Nicola, Gregory N.; Bruno, Raffaele; Marino, Ignazio R.; Hamidouche, Kenza; Jha, Niraj K.

doi:10.1109/tce.2021.3130228

Cited by 53 publications

(37 citation statements)

References 39 publications

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“…The second search, conducted on March 8–9, 2021, found an additional 574 records, and the third search, done on July 27, 2021, found an additional 1691 records, resulting in 3196 unique records overall, after deduplication. After title and abstract screening, 173 articles were retained for full-text review, of which 12 19 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 fulfilled our inclusion and exclusion criteria ( appendix p 7 ). All studies were observational, and seven were strictly retrospective; 19 , 30 , 31 , 32 , 35 , 38 , 40 although some researchers implemented control procedures, no RCTs were reported.…”

Section: Resultsmentioning

confidence: 99%

“…Nine studies examined SARS-CoV-2 infection among the general public, whereas three enrolled health-care professionals. 31 , 36 , 37 Three research teams characterised their studies as proof-of-concept studies. 38 , 39 , 40 Four studies were pre-prints.…”

Section: Resultsmentioning

confidence: 99%

“…Five studies examined physiological parameter changes exclusively 19 , 32 , 33 , 35 , 40 or almost exclusively (99%) 31 measured by Fitbit devices. Other, less commonly investigated wrist-worn devices included the WHOOP strap, 30 the Apple watch, 37 and the Empatica E4 36 (one study each). One study examined a smart ring, the Oura, 38 whereas another study analysed data from an unnamed device worn on the user's throat.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

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

Mitratza

Goodale²,

Shagadatova

et al. 2022

The Lancet Digital Health

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

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

Mitratza

Goodale²,

Shagadatova

et al. 2022

The Lancet Digital Health

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“…While the precision of such a tool is clearly inferior to the standard medical assays, it may be useful to provide a preliminary alert for the early onset of the disease for people in risk groups. Hassantabar et al [ 223 ] suggest a framework termed CovidDeep that combines commercially available wearable physiological feature sensors (WMSs) and a simple yes/no questionnaire with efficient DNNs for pervasive large-scale monitoring of disease onset and health condition. The automatically extracted raw data and medical background and symptom responses are combined with synthetically generated data to train the DNN architecture.…”

Section: Wearables and Wireless Body Area Network (Wban)mentioning

confidence: 99%

Data Gathering Techniques in WSN: A Cross-Layer View

Gurewitz

Shifrin

Dvir

2022

Sensors

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Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their applicability to a large variety of technological domains and applications, ranging from the Internet of things (IoT) for smart cities and smart homes to wearable technology healthcare applications, underwater, agricultural and environmental monitoring and many more. This expansion is rapidly growing every passing day in terms of the variety, heterogeneity and the number of devices which such applications support. Data collection is commonly the core application in WSN and IoT networks, which are typically composed of a large variety of devices, some constrained by their resources (e.g., processing, storage, energy) and some by highly diverse demands. Many challenges span all the conceptual communication layers, from the Physical to the Applicational. Many novel solutions devised in the past do not scale well with the exponential growth in the population of the devices and need to be adapted, revised, or new innovative solutions are required to comply with this massive growth. Furthermore, recent technological advances present new opportunities which can be leveraged in this context. This paper provides a cross-layer perspective and review of data gathering in WSN and IoT networks. We provide some background and essential milestones that have laid the foundation of many subsequent solutions suggested over the years. We mainly concentrate on recent state-of-the-art research, which facilitates the scalable, energy-efficient, cost-effective, and human-friendly functionality of WSNs and the novel applications in the years to come.

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“…The SARS-CoV-2 virus produces clones in the human body, leading to the continuous transmission of the disease. Therefore, the isolation of infected individuals is essential for people's lives in society [5,6]. The average time from exposure to onset of symptoms is 5 days; 97.5% of people develop the symptoms within 11.5 days [7].…”

Section: Symptoms Transmission and Monitoring Of Covid-19 Physiologic...mentioning

confidence: 99%

Research and Development of a COVID-19 Tracking System in Order to Implement Analytical Tools to Reduce the Infection Risk

Vavrinský

Zavodnik

Debnar

et al. 2022

Sensors

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The whole world is currently focused on COVID-19, which causes considerable economic and social damage. The disease is spreading rapidly through the population, and the effort to stop the spread is entirely still failing. In our article, we want to contribute to the improvement of the situation. We propose a tracking system that would identify affected people with greater accuracy than medical staff can. The main goal was to design hardware and construct a device that would track anonymous risky contacts in areas with a highly concentrated population, such as schools, hospitals, large social events, and companies. We have chosen a 2.4 GHz proprietary protocol for contact monitoring and mutual communication of individual devices. The 2.4 GHz proprietary protocol has many advantages such as a low price and higher resistance to interference and thus offers benefits. We conducted a pilot experiment to catch bugs in the system. The device is in the form of a bracelet and captures signals from other bracelets worn at a particular location. In case of contact with an infected person, the alarm is activated. This article describes the concept of the tracking system, the design of the devices, initial tests, and plans for future use.

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CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks

Cited by 53 publications

References 39 publications

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

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

Data Gathering Techniques in WSN: A Cross-Layer View

Research and Development of a COVID-19 Tracking System in Order to Implement Analytical Tools to Reduce the Infection Risk

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