Internet of Things for in-home health monitoring systems: Current advances, challenges and future directions
NY Philip, JJPC Rodrigues, H Wang… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Internet of Things has been one of the catalysts in revolutionizing conventional healthcare
services. With the growing society, traditional healthcare systems reach their capacity in …
services. With the growing society, traditional healthcare systems reach their capacity in …
Healthcare 4.0: A review of frontiers in digital health
Healthcare 4.0 is a term that has emerged recently and derived from Industry 4.0. Today, the
health care sector is more digital than in past decades; for example, spreading from x‐rays …
health care sector is more digital than in past decades; for example, spreading from x‐rays …
[HTML][HTML] Deep learning for small and big data in psychiatry
G Koppe, A Meyer-Lindenberg… - …, 2021 - nature.com
Psychiatry today must gain a better understanding of the common and distinct
pathophysiological mechanisms underlying psychiatric disorders in order to deliver more …
pathophysiological mechanisms underlying psychiatric disorders in order to deliver more …
[HTML][HTML] The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing
Previous studies of seasonal effects on sleep have yielded unclear results, likely due to
methodological differences and limitations in data size and/or quality. We measured the …
methodological differences and limitations in data size and/or quality. We measured the …
[HTML][HTML] Digital phenotyping of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
[HTML][HTML] Diagnosis of depressive disorder model on facial expression based on fast R-CNN
YS Lee, WH Park - Diagnostics, 2022 - mdpi.com
This study examines related literature to propose a model based on artificial intelligence
(AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be …
(AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be …
[HTML][HTML] Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these
rhythms is related to physiology and natural cycles as well as social constructs. The human …
rhythms is related to physiology and natural cycles as well as social constructs. The human …
[HTML][HTML] Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures
OBJECTIVE Patient-reported outcome measures (PROMs) are currently the gold standard to
evaluate patient physical performance and ability to recover after spine surgery. However …
evaluate patient physical performance and ability to recover after spine surgery. However …
[HTML][HTML] Technology use and interest in digital apps for mental health promotion and lifestyle intervention among young adults with serious mental illness
JA Naslund, KA Aschbrenner - Journal of Affective Disorders Reports, 2021 - Elsevier
Background Digital technology holds promise for reaching young adults with serious mental
illness. This study seeks to characterize technology use and explore interests in digital …
illness. This study seeks to characterize technology use and explore interests in digital …
[HTML][HTML] Towards clinically actionable digital phenotyping targets in schizophrenia
Digital phenotyping has potential to quantify the lived experience of mental illness and
generate real-time, actionable results related to recovery, such as the case of social rhythms …
generate real-time, actionable results related to recovery, such as the case of social rhythms …