Key result
An artificial intelligence-driven cloud-based model using physiological signals from wearable devices was proposed to detect and manage mental stress during the COVID-19 pandemic.
Why the study?
Mental stress became common during the COVID-19 pandemic with limited opportunities to consult health professionals in person.
Can an AI-driven wearable sensor model detect stress levels using physiological signals during the COVID-19 pandemic?
Can an AI-driven wearable sensor model detect stress levels using physiological signals during the COVID-19 pandemic?
An AI-driven wearable model using physiological signals is proposed to monitor and manage mental stress during the COVID-19 pandemic.
Hypothesis-generating for wearable AI stress detection; prospective validation required before clinical consideration.
The stresses and patterns of life are often demanding and require physical and psychological actions to support themselves. An individual responds to mental stresses that is potentially detrimental to health. The mental stress may result hormonal imbalance and noxious stimulus in the body. The 2 (SARS-COV-2) or COVID-19 infection not only stopped people's daily routine, but also created many political, social, financial, psychological and health problems. Mental stress has become common during this pandemic with limited opportunity to reach outhealth professionals in person. We have proposed artificial intelligence driven cloud based self-stress detection model which takes physiological signals such as Galvanic Skin Response, Heart Rate Variability, Peripheral Capillary Oxygen Saturation to determine the stress level. The sensors are embedded into a wearable device and collects physiological signals and thereby detect stress level of an individual. Finally, we have also suggested some recommendations to manage stress for any individual during COVID-19 for their wellbeing.
No takes yet. Share an insight, caveat, or question.
Jesmin et al. (2020) studied Mental stress during COVID-19. Artificial intelligence driven cloud based self-stress detection model was evaluated on Stress level detection. An artificial intelligence-driven cloud-based model using physiological signals from wearable devices was proposed to detect and manage mental stress during the COVID-19 pandemic.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: