[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …
continuous collection of data in an unobtrusive manner. Machine learning methods have …
Parkinson's disease management via wearable sensors: a systematic review
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
Predicting symptoms of depression and anxiety using smartphone and wearable data
Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …
remain undetected and untreated. Smartphone and wearable devices may offer a unique …
Monitoring changes in depression severity using wearable and mobile sensors
Background: While preliminary evidence suggests that sensors may be employed to detect
presence of low mood it is still unclear whether they can be leveraged for measuring …
presence of low mood it is still unclear whether they can be leveraged for measuring …
Depression and objectively measured physical activity: a systematic review and meta-analysis
V Gianfredi, L Blandi, S Cacitti, M Minelli… - International journal of …, 2020 - mdpi.com
Depression is a major contributor to the overall global burden of disease, with high
prevalence and relapse rate. Several factors have been considered in order to reduce the …
prevalence and relapse rate. Several factors have been considered in order to reduce the …
[HTML][HTML] Correlations between objective behavioral features collected from mobile and wearable devices and depressive mood symptoms in patients with affective …
Background: Several studies have recently reported on the correlation between objective
behavioral features collected via mobile and wearable devices and depressive mood …
behavioral features collected via mobile and wearable devices and depressive mood …
Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis
Background Actigraphy has enabled consecutive observation of individual health conditions
such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in …
such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in …
Bootstrap** human activity recognition systems for smart homes from scratch
SK Hiremath, Y Nishimura, S Chernova… - Proceedings of the ACM …, 2022 - dl.acm.org
Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …
(almost) neglect, to their recent revival in real-world environments enabled through the …
Current advances in wearable devices and their sensors in patients with depression
S Lee, H Kim, MJ Park, HJ Jeon - Frontiers in Psychiatry, 2021 - frontiersin.org
In this study, a literature survey was conducted of research into the development and use of
wearable devices and sensors in patients with depression. We collected 18 studies that had …
wearable devices and sensors in patients with depression. We collected 18 studies that had …
Remediation of cognitive and motor functions in Tunisian elderly patients with mild Alzheimer's disease: implications of music therapy and/or physical rehabilitation
S Chéour, C Chéour, T Gendreau… - Frontiers in Aging …, 2023 - frontiersin.org
The purpose of this study was to compare the effects of music therapy (MT) and/or physical
rehabilitation (PR) on cognitive and motor function in elderly Tunisian male and female …
rehabilitation (PR) on cognitive and motor function in elderly Tunisian male and female …