[BOOK][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
From pacemaker to wearable: techniques for ECG detection systems
With the alarming rise in the deaths due to cardiovascular diseases (CVD), present medical
research scenario places notable importance on techniques and methods to detect CVDs …
research scenario places notable importance on techniques and methods to detect CVDs …
DENS-ECG: A deep learning approach for ECG signal delineation
Objectives With the technological advancements in the field of tele-health monitoring, it is
now possible to gather huge amount of electro-physiological signals such as the …
now possible to gather huge amount of electro-physiological signals such as the …
A hybrid data compression scheme for power reduction in wireless sensors for IoT
This paper presents a novel data compression and transmission scheme for power
reduction in Internet-of-Things (IoT) enabled wireless sensors. In the proposed scheme, data …
reduction in Internet-of-Things (IoT) enabled wireless sensors. In the proposed scheme, data …
A comprehensive review of computer-based Techniques for R-peaks/QRS complex detection in ECG signal
Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave,
QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease …
QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease …
Ultra-low power QRS detection and ECG compression architecture for IoT healthcare devices
An ultra-low power electrocardiogram (ECG) processing architecture with an adequate level
of accuracy is a necessity for Internet of Things (IoT) medical wearable devices. This paper …
of accuracy is a necessity for Internet of Things (IoT) medical wearable devices. This paper …
A real-time arrhythmia heartbeats classification algorithm using parallel delta modulations and rotated linear-kernel support vector machines
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
[HTML][HTML] DSP-based arrhythmia classification using wavelet transform and probabilistic neural network
JA Gutiérrez-Gnecchi, R Morfin-Magana… - … Signal Processing and …, 2017 - Elsevier
A large part of the biomedical research spectrum is dedicated to develop electrocardiogram
(ECG) signal processing techniques to contribute to early diagnosis. However, it is common …
(ECG) signal processing techniques to contribute to early diagnosis. However, it is common …
A level-crossing based QRS-detection algorithm for wearable ECG sensors
In this paper, an asynchronous analog-to-information conversion system is introduced for
measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a …
measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a …
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 …