[HTML][HTML] Physical human activity recognition using wearable sensors

F Attal, S Mohammed, M Dedabrishvili, F Chamroukhi… - Sensors, 2015 - mdpi.com
This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …

Smart wearable body sensors for patient self-assessment and monitoring

G Appelboom, E Camacho, ME Abraham… - Archives of public …, 2014 - Springer
Background Innovations in mobile and electronic healthcare are revolutionizing the
involvement of both doctors and patients in the modern healthcare system by extending the …

Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch

KH Lee, X Ni, JY Lee, H Arafa, DJ Pe, S Xu… - Nature biomedical …, 2020 - nature.com
Skin-mounted soft electronics that incorporate high-bandwidth triaxial accelerometers can
capture broad classes of physiologically relevant information, including mechano-acoustic …

A review of accelerometry-based wearable motion detectors for physical activity monitoring

CC Yang, YL Hsu - Sensors, 2010 - mdpi.com
Characteristics of physical activity are indicative of one's mobility level, latent chronic
diseases and aging process. Accelerometers have been widely accepted as useful and …

Nanomaterials-patterned flexible electrodes for wearable health monitoring: a review

MM Hasan, MM Hossain - Journal of Materials Science, 2021 - Springer
Electrodes fabricated on a flexible substrate are a revolutionary development in wearable
health monitoring due to their lightweight, breathability, comfort, and flexibility to conform to …

Detecting central sleep apnea in adult patients using WatchPAT—a multicenter validation study

G Pillar, M Berall, R Berry, T Etzioni, N Shrater… - Sleep and …, 2020 - Springer
Study objectives To assess the accuracy of WatchPAT (WP—Itamar-Medical, Caesarea,
Israel) enhanced with a novel systolic upstroke analysis coupled with respiratory movement …

Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometer

K Pandia, OT Inan, GTA Kovacs… - Physiological …, 2012 - iopscience.iop.org
Seismocardiography (SCG) is a non-invasive measurement of the vibrations of the chest
caused by the heartbeat. SCG signals can be measured using a miniature accelerometer …

Sleep apnea detection based on thoracic and abdominal movement signals of wearable piezoelectric bands

YY Lin, HT Wu, CA Hsu, PC Huang… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Physiologically, the thoracic (THO) and abdominal (ABD) movement signals, captured using
wearable piezoelectric bands, provide information about various types of apnea, including …

Sleep apnea severity estimation from tracheal movements using a deep learning model

M Hafezi, N Montazeri, S Saha, K Zhu… - IEEE …, 2020 - ieeexplore.ieee.org
Objective: Sleep apnea is a chronic respiratory disorder and its standard assessment
requires full night in-laboratory polysomnography (PSG). However, PSG is expensive, time …

Surface chest motion decomposition for cardiovascular monitoring

G Shafiq, KC Veluvolu - Scientific reports, 2014 - nature.com
Surface chest motion can be easily monitored with a wide variety of sensors such as
pressure belts, fiber Bragg gratings and inertial sensors, etc. The current applications of …