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Open AccessJournal ArticleDOI

Overview a Quality-Scalable and Energy-Efficient Approach for Spectral Analysis of Heart Rate Variability

Aditi Malviya, +2 more
- 17 Nov 2015 - 
- Vol. 129, Iss: 7, pp 7-10
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TLDR
Bioelectrical signals which are spectrally analyzed for enabling energyquality trade-offs are helpful in observing different health problems as those related with the rate of heart as well as normal and abnormalities using ECG waves.
Abstract
In this paper presenting bioelectrical signals which are spectrally analyzed for enabling energyquality trade-offs, they are helpful in observing different health problems as those related with the rate of heart. To facilitate such tradeoffs, the signals which are processed earlier are expressed primarily in a beginning in which considerable components that hold mainly of the related information can be simply notable from the components that effect the output to a smaller amount. Such an arrangement permits the pruning of operations allied with the less important signal components primary to power savings with loss of minor quality as simply less useful parts are reduced under the certain requirements. This provides the patients normal and abnormalities using ECG waves.

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References
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Journal ArticleDOI

A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health.

TL;DR: A meta-analysis of recent neuroimaging studies on the relationship between heart rate variability and regional cerebral blood flow identified a number of regions, including the amygdala and ventromedial prefrontal cortex, in which significant associations across studies were found.
Book

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Leif Sörnmo, +1 more
TL;DR: Chapter 1.
Journal ArticleDOI

Fast algorithm for spectral analysis of unevenly sampled data

TL;DR: On montre que les transformations de Fourier rapides peuvent servir pour faire des calculs sur ordinateur de l'ordre de 10 2 N Log N as mentioned in this paper.
Journal ArticleDOI

ECG data compression techniques-a unified approach

TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI

Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

TL;DR: This paper quantifies the potential of the emerging compressed sensing (CS) signal acquisition/compression paradigm for low-complexity energy-efficient ECG compression on the state-of-the-art Shimmer WBSN mote and shows that CS represents a competitive alternative to state- of- the-art digital wavelet transform (DWT)-basedECG compression solutions in the context of WBSn-based ECG monitoring systems.