[HTML][HTML] The apple watch for monitoring mental health–related physiological symptoms: Literature review

GY Lui, D Loughnane, C Polley, T Jayarathna… - JMIR Mental …, 2022 - mental.jmir.org
Background: An anticipated surge in mental health service demand related to COVID-19 has
motivated the use of novel methods of care to meet demand, given workforce limitations …

Sleep assessment devices: types, market analysis, and a critical view on accuracy and validation

V Ibáñez, J Silva, E Navarro, O Cauli - Expert review of medical …, 2019 - Taylor & Francis
Introduction: Sleep assessment devices are essential for the detection, diagnosis, and
monitoring of sleep disorders. This paper provides a state-of-the-art review and comparison …

[HTML][HTML] Wearables in schizophrenia: Update on current and future clinical applications

LN Fonseka, BKP Woo - JMIR mHealth and uHealth, 2022 - mhealth.jmir.org
Schizophrenia affects 1% of the world population and is associated with a reduction in life
expectancy of 20 years. The increasing prevalence of both consumer technology and …

Validity of two consumer multisport activity tracker and one accelerometer against polysomnography for measuring sleep parameters and vital data in a laboratory …

M Budig, R Stoohs, M Keiner - Sensors, 2022 - mdpi.com
Two commercial multisport activity trackers (Garmin Forerunner 945 and Polar Ignite) and
the accelerometer ActiGraph GT9X were evaluated in measuring vital data, sleep stages …

[HTML][HTML] The relationship between sleeping position and sleep quality: A flexible sensor-based study

Y Zhang, A Xiao, T Zheng, H Xiao, R Huang - Sensors, 2022 - mdpi.com
The use of flexible wearable sensors to monitor the impact of sleeping position and turning
frequency on sleep and to study sleep patterns can help bedridden patients heal and …

[HTML][HTML] Leveraging mHealth technologies for public health

PE Velmovitsky, M Kirolos, P Alencar… - JMIR public health …, 2024 - publichealth.jmir.org
Traditional public health surveillance efforts are generally based on self-reported data.
Although well validated, these methods may nevertheless be subjected to limitations such …

Enhancing artificial intelligence‐driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements

JB Martinot, NN Le‐Dong, A Malhotra… - Journal of …, 2024 - Wiley Online Library
Purpose This review aims to highlight the pivotal role of the mandibular jaw movement
(MJM) signal in advancing artificial intelligence (AI)‐powered technologies for diagnosing …

Do objective data support the claim that problematic smartphone use has a clinically meaningful impact upon adolescent sleep duration?

S Mac Cárthaigh, J Perry, C Griffin - Behaviour & Information …, 2023 - Taylor & Francis
Sleep insufficiency is a risk factor for mental and physical ill-health. In recent years, research
has attributed sleep insufficiency to problematic smartphone use (PSU). In addition …

A machine learning based study to predict depression with monitoring Actigraph watch data

M Raihan, AK Bairagi, S Rahman - 2021 12th International …, 2021 - ieeexplore.ieee.org
The consequences of depression are breathtaking these days. The suicidal tendency, as
well as other fatigues, depression has almost soaked the world. A detection system can …

Unobtrusive monitoring of sleep cycles: a technical review

J Siyanbade, B Abdulrazak, I Sadek - BioMedInformatics, 2022 - mdpi.com
Polysomnography is the gold-standard method for measuring sleep but is inconvenient and
limited to a laboratory or a hospital setting. As a result, the vast majority of patients do not …