Wearable and portable devices for acquisition of cardiac signals while practicing sport: a scoping review

S Romagnoli, F Ripanti, M Morettini, L Burattini… - Sensors, 2023 - mdpi.com
Wearable and portable devices capable of acquiring cardiac signals are at the frontier of the
sport industry. They are becoming increasingly popular for monitoring physiological …

Occupant-centered indoor environmental quality management: Physiological response measuring methods

M Kong, J An, D Jung, T Hong - Building and Environment, 2023 - Elsevier
Recent studies have reported that occupants' physiological responses can be indicators of
indoor environmental quality (IEQ). As a result, there is an emerging demand for devices to …

Is that my heartbeat? Measuring and understanding modality-dependent cardiac interoception in virtual reality

A El Ali, R Ney, ZMC Van Berlo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Measuring interoception ('perceiving internal bodily states') has diagnostic and wellbeing
implications. Since heartbeats are distinct and frequent, various methods aim at measuring …

Accuracy of heart rate measurement with wrist-worn wearable devices in various skin tones: a systematic review

D Koerber, S Khan, T Shamsheri, A Kirubarajan… - Journal of Racial and …, 2023 - Springer
Background Wearable consumer technology allows for the collection of a growing amount of
personal health data. Through the analysis of reflected LED light on the skin, heart rate …

Predicting office workers' productivity: a machine learning approach integrating physiological, behavioral, and psychological indicators

M Awada, B Becerik-Gerber, G Lucas, SC Roll - Sensors, 2023 - mdpi.com
This research pioneers the application of a machine learning framework to predict the
perceived productivity of office workers using physiological, behavioral, and psychological …

Exploratory study of the acute and mid-term effects of using a novel dynamic meeting environment (Aeris®) on cognitive performance and neurophysiological …

A Ammar, MA Boujelbane, ML Simak… - Frontiers in human …, 2023 - frontiersin.org
The purpose of the present study was to assess the acute and mid-term effects of the
dynamic aeris®-meeting-environment on brain activity, cognitive performance, heart rate …

From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability

PI Topalidis, S Baron, DPJ Heib, ES Eigl… - Sensors, 2023 - mdpi.com
More and more people quantify their sleep using wearables and are becoming obsessed in
their pursuit of optimal sleep (“orthosomnia”). However, it is criticized that many of these …

Estimation of physiological exercise thresholds based on dynamical correlation properties of heart rate variability

M Kanniainen, T Pukkila, J Kuisma, M Molkkari… - Frontiers in …, 2023 - frontiersin.org
Aerobic and anaerobic thresholds of the three-zone exercise model are often used to
evaluate the exercise intensity and optimize the training load. Conventionally, these …

Are activity wrist-worn devices accurate for determining heart rate during intense exercise?

P Martín-Escudero, AM Cabanas, ML Dotor-Castilla… - Bioengineering, 2023 - mdpi.com
The market for wrist-worn devices is growing at previously unheard-of speeds. A
consequence of their fast commercialization is a lack of adequate studies testing their …

The virtual sleep lab—a novel method for accurate four-class sleep staging using heart-rate variability from low-cost wearables

P Topalidis, DPJ Heib, S Baron, ES Eigl… - Sensors, 2023 - mdpi.com
Sleep staging based on polysomnography (PSG) performed by human experts is the de
facto “gold standard” for the objective measurement of sleep. PSG and manual sleep staging …