Methodologies and wearable devices to monitor biophysical parameters related to sleep dysfunctions: an overview

R De Fazio, V Mattei, B Al-Naami, M De Vittorio… - Micromachines, 2022 - mdpi.com
Sleep is crucial for human health from metabolic, mental, emotional, and social points of
view; obtaining good sleep in terms of quality and duration is fundamental for maintaining a …

Evolution of bed-based sensor technology in unobtrusive sleep monitoring: a review

M Haghi, M Gaiduk, M Stoffers… - IEEE sensors …, 2024 - ieeexplore.ieee.org
With the emergence of new sensor technologies, such as fiber optic sensors (FOSs),
compared to traditional mechanical sensors, unobtrusive sleep monitoring has been a …

Wearable textile-based sensor tag for breath rate measurement

M Elgeziry, F Costa, A Tognetti… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Breath rate is an important vital sign for monitoring the well-being and detecting underlying
illnesses related to the respiratory system. The spirometer is widely used for evaluating the …

[HTML][HTML] Three contactless sleep technologies compared with Actigraphy and polysomnography in a heterogeneous Group of Older men and Women in a model of …

KKG Ravindran, C Della Monica, G Atzori… - JMIR mHealth and …, 2023 - mhealth.jmir.org
Background: Contactless sleep technologies (CSTs) hold promise for longitudinal,
unobtrusive sleep monitoring in the community and at scale. They may be particularly useful …

Depth-camera-based under-blanket sleep posture classification using anatomical landmark-guided deep learning model

AYC Tam, LW Zha, BPH So, DKH Lai, YJ Mao… - International Journal of …, 2022 - mdpi.com
Emerging sleep health technologies will have an impact on monitoring patients with sleep
disorders. This study proposes a new deep learning model architecture that improves the …

Monitoring of cardiorespiratory parameters during sleep using a special holder for the accelerometer sensor

A Boiko, M Gaiduk, WD Scherz, A Gentili, M Conti… - Sensors, 2023 - mdpi.com
Sleep is extremely important for physical and mental health. Although polysomnography is
an established approach in sleep analysis, it is quite intrusive and expensive. Consequently …

[HTML][HTML] Designing a Hybrid Energy-Efficient Harvesting System for Head-or Wrist-Worn Healthcare Wearable Devices

Z Tohidinejad, S Danyali, M Valizadeh, R Seepold… - Sensors, 2024 - mdpi.com
Battery power is crucial for wearable devices as it ensures continuous operation, which is
critical for real-time health monitoring and emergency alerts. One solution for long-lasting …

Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial …

DKH Lai, AYC Tam, BPH So, ACH Chan… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Assessing sleep posture, a critical component in sleep tests, is crucial for understanding an
individual's sleep quality and identifying potential sleep disorders. However, monitoring …

Machine learning in radar-based physiological signals sensing: a scoping review of the models, datasets and metrics

A Nocera, L Senigagliesi, M Raimondi… - IEEE …, 2024 - ieeexplore.ieee.org
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …

Sleep monitoring during acute stroke rehabilitation: Toward automated measurement using multimodal wireless sensors

PW Chen, MK O'Brien, AP Horin, LL McGee Koch… - Sensors, 2022 - mdpi.com
Sleep plays a critical role in stroke recovery. However, there are limited practices to measure
sleep for individuals with stroke, thus inhibiting our ability to identify and treat poor sleep …