Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.
Tony RobinsonJoan CondellElaine RamseyGerard LeaveyPublished in: International journal of environmental research and public health (2023)
We screened 445 papers and analysed the reports from 12 wearable devices concerning their device type, year, biometrics used, and machine learning algorithm deployed. Electrodermal activity (EDA/GSR/SC/Skin Temperature), physical activity, and heart rate (HR) are the most common biometrics with nine, six and six reference counts, respectively. Additionally, while smartwatches have greater penetration and integration within the marketplace, fitness trackers have the most significant public value benefit of £513.9 M, likely due to greater retention.
Keyphrases
- heart rate
- physical activity
- machine learning
- sleep quality
- mental health
- heart rate variability
- blood pressure
- depressive symptoms
- deep learning
- healthcare
- artificial intelligence
- body mass index
- big data
- adverse drug
- body composition
- mental illness
- peripheral blood
- emergency department
- health insurance
- wound healing
- neural network