A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses DOI Creative Commons

Bhekumuzi M. Mathunjwa,

Randy Yan Jie Kor,

Wanida Ngarnkuekool

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1771 - 1771

Published: March 12, 2025

The home is an ideal setting for long-term sleep monitoring. This review explores a range of home-based monitoring technologies, including smartphone apps, smartwatches, and smart mattresses, to assess their accuracy, usability, limitations, how well they integrate with existing healthcare systems. evaluates 21 16 nine mattresses through systematic data collection from academic literature, manufacturer specifications, independent studies. Devices were assessed based on sleep-tracking capabilities, physiological collection, movement detection, environmental sensing, AI-driven analytics, integration potential. Wearables provide the best balance affordability, making them most suitable general users athletes. Smartphone apps are cost-effective but offer lower more appropriate casual tracking rather than clinical applications. Smart while providing passive comfortable tracking, costlier have limited validation. offers essential insights selecting technology. Future developments should focus multi-sensor fusion, AI transparency, energy efficiency, improved validation enhance reliability applicability. As these technologies evolve, has potential bridge gap between consumer-grade diagnostics, personalized health accessible actionable.

Language: Английский

Associations of objectively measured physical activity and sedentary behavior with sleep quality in college students DOI
Yangyi Huang,

Kefeng Zheng,

Teck Cheng Tan

et al.

Complementary Therapies in Clinical Practice, Journal Year: 2025, Volume and Issue: 59, P. 101964 - 101964

Published: Feb. 25, 2025

Language: Английский

Citations

0
Wearables as Translational Physiomarkers and Clinical Endpoints in Insomnia Research: Can Sleep Research Advance Psychiatry? DOI Creative Commons
Victor I. Spoormaker, Borbála Blaskovich

Journal of Sleep Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

ABSTRACT Wearables that integrate actigraphy and pulse photoplethysmography (ACT + PPG) could represent a promising advancement in insomnia research clinical practice. This especially applies to assessing objective sleep for longer period the home environment, which is impractical with ambulatory polysomnography (PSG) whereas alone struggles detecting wake‐after‐sleep‐onset, as one of most important variables (on further variables, such efficiency, depend). The addition heart rate variability data strongly enhances WASO detection, offering hope detection insomnia. For physiomarker development, several challenges ACT PPG need be tackled. Current commercial solutions often rely on “black‐box” algorithms trained small, healthy samples, leading inaccuracies sleep‐disordered populations. Moreover, lack access raw hinders validation cross‐study comparability. These other issues are addressed detail this opinion paper order raise awareness start discussion about more reliable, markers readily used endpoints trials cognitive‐behavioural therapy (CBT‐I) or stress‐related mental disorders novel pharmacological compounds. community has opportunity establish gold standard based, longitudinal monitoring, potential bridge gap between practice, transforming improving psychiatric care.

Language: Английский

Citations

0
A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses DOI Creative Commons

Bhekumuzi M. Mathunjwa,

Randy Yan Jie Kor,

Wanida Ngarnkuekool

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1771 - 1771

Published: March 12, 2025

The home is an ideal setting for long-term sleep monitoring. This review explores a range of home-based monitoring technologies, including smartphone apps, smartwatches, and smart mattresses, to assess their accuracy, usability, limitations, how well they integrate with existing healthcare systems. evaluates 21 16 nine mattresses through systematic data collection from academic literature, manufacturer specifications, independent studies. Devices were assessed based on sleep-tracking capabilities, physiological collection, movement detection, environmental sensing, AI-driven analytics, integration potential. Wearables provide the best balance affordability, making them most suitable general users athletes. Smartphone apps are cost-effective but offer lower more appropriate casual tracking rather than clinical applications. Smart while providing passive comfortable tracking, costlier have limited validation. offers essential insights selecting technology. Future developments should focus multi-sensor fusion, AI transparency, energy efficiency, improved validation enhance reliability applicability. As these technologies evolve, has potential bridge gap between consumer-grade diagnostics, personalized health accessible actionable.

Language: Английский

Citations

0