Measuring biosignals with single circuit boards

G Ehrmann, T Blachowicz, SV Homburg, A Ehrmann - Bioengineering, 2022 - mdpi.com
To measure biosignals constantly, using textile-integrated or even textile-based electrodes
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …

Biomedical signal processing for health monitoring applications: a review

S Sonawani, K Patil… - International Journal of …, 2023 - inderscienceonline.com
Biomedical health monitoring systems are evolving rapidly and using non-invasive and cost
effective sensors. These systems can monitor physiological parameters of the body to …

Hardware and software implementation of real time electrooculogram (EOG) acquisition system to control computer cursor with eyeball movement

Z Hossain, MMH Shuvo, P Sarker - 2017 4th international …, 2017 - ieeexplore.ieee.org
Human computer interface (HCI) is an emerging technology of neuroscience and artificial
intelligence. Development of HCI system using bio signal eg Electrooculogram (EOG) …

Development and test of a portable ECG device with dry capacitive electrodes and driven right leg circuit

A Zompanti, A Sabatini, S Grasso, G Pennazza, G Ferri… - Sensors, 2021 - mdpi.com
The use of wearable sensors for health monitoring is rapidly growing. Over the past decade,
wearable technology has gained much attention from the tech industry for commercial …

A wearable, high-resolution, and wireless system for multichannel surface electromyography detection

L Zhu, G Mao, H Su, Z Zhou, W Li, X Lü… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In this paper, a wearable, wireless system is proposed for the multichannel detection of
surface electromyography (sEMG) signals. As sEMG signals have great value in clinical …

Implementation of a cost-effective didactic prototype for the acquisition of biomedical signals

A Polo, P Narvaez, C Robles Algarín - Electronics, 2018 - mdpi.com
This paper presents the implementation of a cost-effective didactic prototype, which was
designed as a tool for theoretical and practical learning in the biomedical instrumentation …

[HTML][HTML] EMG-based 3D hand gesture prediction using transformer–encoder classification

T Mahboob, MY Chung, KW Choi - ICT Express, 2023 - Elsevier
One of the most common task of electromyography (EMG)-based human–machine interface
(HMI) is the hand gesture recognition. Robust and accurate predictions leveraging the …

Drowsiness detection and monitoring the sleeping pattern using brainwaves technology and IoT

N Borulkar, P Pandey, C Davda… - … on I-SMAC (IoT in Social …, 2018 - ieeexplore.ieee.org
In this paper, a drowsiness detection system based on a brain-computer interface (BCI)
headset having 3 electrodes is proposed. The headset is mounted on the user's head to …

Wearable surface deformation myography (sDMG) system for recognition of locomotion modes

H Sun, X Peng, J Wang, J Liu, T Fu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This study designs a wearable sensing system for locomotion mode recognition using lower-
limb skin surface curvature deformation caused by the morphological changes of …

[HTML][HTML] EMERALD—Exercise monitoring emotional assistant

JA Rincon, A Costa, C Carrascosa, P Novais, V Julian - Sensors, 2019 - mdpi.com
The increase in the elderly population in today's society entails the need for new policies to
maintain an adequate level of care without excessively increasing social spending. One of …