Novel real-time low-complexity QRS complex detector based on adaptive thresholding

R Gutiérrez-Rivas, JJ Garcia, WP Marnane… - IEEE Sensors …, 2015 - ieeexplore.ieee.org
Over the years, several QRS complex detection algorithms have been proposed with
different features, but the remaining problem is their implementation in low-cost portable …

Anti-motion Interference Electrocardiograph Monitoring System-A Review

J Shen, X Li, Y Wang, Y Li, J Bian, X Zhu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Electrocardiography (ECG) is vital in diagnosing and preventing cardiovascular diseases
(CVDs), which is the third leading cause of global mortality. Real-time ECG monitoring helps …

Community-based ECG monitoring system for patients with cardiovascular diseases

BS Lin, AM Wong, KC Tseng - Journal of medical systems, 2016 - Springer
This study aims to develop a community-based electrocardiogram (ECG) monitoring system
for cardiac outpatients to wirelessly detect heart rate, provide personalized healthcare, and …

[HTML][HTML] A multi-channel electromyography, electrocardiography and inertial wireless sensor module using Bluetooth low-energy

G Biagetti, P Crippa, L Falaschetti, C Turchetti - Electronics, 2020 - mdpi.com
This paper proposes a wireless sensor device for the real-time acquisition of bioelectrical
signals such as electromyography (EMG) and electrocardiography (ECG), coupled with an …

Wireless surface electromyograph and electrocardiograph system on 802.15. 4

G Biagetti, P Crippa, L Falaschetti… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents a flexible low-cost wireless system specifically designed to acquire
fitness metrics both from surface electromyographic (sEMG) and electrocardiographic (ECG) …

Auto analysis of ECG signals using artificial neural network

AAS Raj, N Dheetsith, SS Nair… - … Conference on Science …, 2014 - ieeexplore.ieee.org
The greatest challenge faced during the process of diagnosis of cardiovascular diseases is
the accurate analyses of the Electrocardiogram (ECG). Many researches are being done to …

[PDF][PDF] Real-Time Approach to HRV Analysis.

G Ramos, M Alfaras, H Gamboa - BIOSIGNALS, 2018 - scitepress.org
In this paper, we present the assessment of heart rate variability (HRV) applied to real-time
processing of electrocardiographic (ECG) signals. A general approach for R-peak detection …

Low-noise photoplethysmography sensor using correlated double sampling for heartbeat interval acquisition

K Watanabe, S Izumi, K Sasai, Y Yano… - … Circuits and Systems, 2019 - ieeexplore.ieee.org
This study designs a low-power photoplethysmography (PPG) sensor based on the error
compensation method for heartbeat interval acquisition. To perform heartbeat monitoring in …

Implementation of mobile-based real-time heart rate variability detection for personalized healthcare

L Quintero, P Papapetrou, JE Muñoz… - … Conference on Data …, 2019 - ieeexplore.ieee.org
The ubiquity of wearable devices together with areas like internet of things, big data and
machine learning have promoted the development of solutions for personalized healthcare …

A novel wireless biomedical monitoring system with dedicated FPGA-based ECG processor

CC Chou, WC Fang, HC Huang - 2012 IEEE 16th International …, 2012 - ieeexplore.ieee.org
A novel portable and wireless biomedical monitoring system featuring on demand wireless
data transmission of ECG signals and time-frequency HRV analysis for personal and home …