Hybrid integration of wearable devices for physiological monitoring

Y Zhang, XT Zheng, X Zhang, J Pan… - Chemical …, 2024‏ - ACS Publications
Wearable devices can provide timely, user-friendly, non-or minimally invasive, and
continuous monitoring of human health. Recently, multidisciplinary scientific communities …

Increasing trend of wearables and multimodal interface for human activity monitoring: A review

P Kumari, L Mathew, P Syal - Biosensors and Bioelectronics, 2017‏ - Elsevier
Activity recognition technology is one of the most important technologies for life-logging and
for the care of elderly persons. Elderly people prefer to live in their own houses, within their …

Robust real-time embedded EMG recognition framework using temporal convolutional networks on a multicore IoT processor

M Zanghieri, S Benatti, A Burrello… - IEEE transactions on …, 2019‏ - ieeexplore.ieee.org
Hand movement classification via surface electromyographic (sEMG) signal is a well-
established approach for advanced Human-Computer Interaction. However, sEMG …

A framework and call to action for the future development of EMG-based input in HCI

E Eddy, EJ Scheme, S Bateman - … of the 2023 CHI conference on human …, 2023‏ - dl.acm.org
Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

A review on the state of the art in atrial fibrillation detection enabled by machine learning

A Rizwan, A Zoha, IB Mabrouk… - IEEE reviews in …, 2020‏ - ieeexplore.ieee.org
Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the
main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally …

A wearable H-shirt for exercise ECG monitoring and individual lactate threshold computing

F Sun, C Yi, W Li, Y Li - Computers in industry, 2017‏ - Elsevier
Millions of people worldwide are involved in daily physical exercise and fitness, which
implies the growing demand for wearable devices and gadgets monitoring these activities …

An embedded, eight channel, noise canceling, wireless, wearable sEMG data acquisition system with adaptive muscle contraction detection

M Ergeneci, K Gokcesu, E Ertan… - IEEE transactions on …, 2017‏ - ieeexplore.ieee.org
Wearable technology has gained increasing popularity in the applications of healthcare,
sports science, and biomedical engineering in recent years. Because of its convenient …

Deep learning approach to control of prosthetic hands with electromyography signals

M Jafarzadeh, DC Hussey… - 2019 IEEE International …, 2019‏ - ieeexplore.ieee.org
Natural muscles provide mobility in response to nerve impulses. Electromyography (EMG)
measures the electrical activity of muscles in response to a nerve's stimulation. In the past …

Design and development of a wearable device for heat stroke detection

ST Chen, SS Lin, CW Lan, HY Hsu - Sensors, 2017‏ - mdpi.com
Heat stroke can be potentially damaging for people while exercising in hot environments. To
prevent this dangerous situation, we designed a wearable heat-stroke-detection device …

sEMG-based regression of hand kinematics with temporal convolutional networks on a low-power edge microcontroller

M Zanghieri, S Benatti, A Burrello… - … Conference on Omni …, 2021‏ - ieeexplore.ieee.org
Human-Machine Interfaces based on gesture control are a very active field of research,
aiming to enable natural interaction with objects. Nowadays, one of the most promising State …