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Novel real-time low-complexity QRS complex detector based on adaptive thresholding
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 …
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 …
(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
This study aims to develop a community-based electrocardiogram (ECG) monitoring system
for cardiac outpatients to wirelessly detect heart rate, provide personalized healthcare, and …
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
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 …
signals such as electromyography (EMG) and electrocardiography (ECG), coupled with an …
Wireless surface electromyograph and electrocardiograph system on 802.15. 4
This paper presents a flexible low-cost wireless system specifically designed to acquire
fitness metrics both from surface electromyographic (sEMG) and electrocardiographic (ECG) …
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 …
the accurate analyses of the Electrocardiogram (ECG). Many researches are being done to …
[PDF][PDF] Real-Time Approach to HRV Analysis.
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 …
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 …
compensation method for heartbeat interval acquisition. To perform heartbeat monitoring in …
Implementation of mobile-based real-time heart rate variability detection for personalized healthcare
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 …
machine learning have promoted the development of solutions for personalized healthcare …
A novel wireless biomedical monitoring system with dedicated FPGA-based ECG processor
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 …
data transmission of ECG signals and time-frequency HRV analysis for personal and home …