State of the science and recommendations for using wearable technology in sleep and circadian research

M De Zambotti, C Goldstein, J Cook, L Menghini… - Sleep, 2024 - academic.oup.com
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …

Heart Rate Variability Measurement through a Smart Wearable Device: Another Breakthrough for Personal Health Monitoring?

K Li, C Cardoso, A Moctezuma-Ramirez… - International journal of …, 2023 - mdpi.com
Heart rate variability (HRV) is a measurement of the fluctuation of time between each
heartbeat and reflects the function of the autonomic nervous system. HRV is an important …

Predicting labor onset relative to the estimated date of delivery using smart ring physiological data

EN Erickson, N Gotlieb, LM Pereira, L Myatt… - npj Digital …, 2023 - nature.com
The transition from pregnancy into parturition is physiologically directed by maternal, fetal
and placental tissues. We hypothesize that these processes may be reflected in maternal …

Opportunities and challenges for sweat-based monitoring of metabolic syndrome via wearable technologies

L Lyzwinski, M Elgendi, AV Shokurov… - Communications …, 2023 - nature.com
Metabolic syndrome is a prevalent condition in adults over the age of 65 and is a risk factor
for developing cardiovascular disease and type II diabetes. Thus, methods to track the …

Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine: JACC State-of-the-Art Review

BJ Petek, MA Al-Alusi, N Moulson, AJ Grant… - Journal of the American …, 2023 - jacc.org
The use of consumer wearable devices (CWDs) to track health and fitness has rapidly
expanded over recent years because of advances in technology. The general population …

“Leave your smartphone out of bed”: quantitative analysis of smartphone use effect on sleep quality

S Kheirinejad, A Visuri, D Ferreira, S Hosio - Personal and Ubiquitous …, 2023 - Springer
Smartphones have become an integral part of people's everyday lives. Smartphones are
used across all household locations, including in the bed at night. Smartphone screens and …

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns

K Kazemi, A Abiri, Y Zhou, A Rahmani… - Computers in Biology …, 2024 - Elsevier
Sleep staging is a crucial tool for diagnosing and monitoring sleep disorders, but the
standard clinical approach using polysomnography (PSG) in a sleep lab is time-consuming …

Reliability and sensitivity of nocturnal heart rate and heart-rate variability in monitoring individual responses to training load

OP Nuuttila, S Seipäjärvi… - … journal of sports …, 2022 - journals.humankinetics.com
Purpose: To assess the reliability of nocturnal heart rate (HR) and HR variability (HRV) and
to analyze the sensitivity of these markers to maximal endurance exercise. Methods …

[HTML][HTML] The two fundamental shapes of sleep heart rate dynamics and their connection to mental health in college students

MI Fudolig, LSP Bloomfield, M Price, YM Bird… - Digital …, 2024 - karger.com
Introduction: Wearable devices are rapidly improving our ability to observe health-related
processes for extended durations in an unintrusive manner. In this study, we use wearable …

Monitoring resistance training in real time with wearable technology: Current applications and future directions

TT de Beukelaar, D Mantini - Bioengineering, 2023 - mdpi.com
Resistance training is an exercise modality that involves using weights or resistance to
strengthen and tone muscles. It has become popular in recent years, with numerous people …