An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems
CC BY
Saved in:
Main Authors: | , , |
---|---|
Format: | Book |
Language: | English |
Published: |
Springer
2023
|
Subjects: | |
Online Access: | https://link.springer.com/article/10.1007/s11042-022-14259-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8313 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:localhost:PNK-8313 |
---|---|
record_format |
dspace |
spelling |
oai:localhost:PNK-83132023-04-26T02:45:45Z An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems Islam S., Fathi Mohamed Ali, Ahmed M. A., Makhlouf fPCG RHMs CC BY Remote Healthcare Monitoring Systems (RHMs) that employ fetal phonocardiography (fPCG) signals are highly efficient technologies for monitoring continuous and long-term fetal heart rate. Wearable devices used in RHMs still face a challenge that decreases their efficacy in terms of energy consumption because these devices have limited storage and are powered by batteries. This paper proposes an effective fPCG compression algorithm to reduce RHM energy consumption. In the proposed algorithm, the Discrete Orthogonal Charlier Moment (DOCMs) is used to extract features of the signal. The householder orthonormalization method (HOM) is used with the Charlier Moment to overcome the propagation of numerical errors that occur when computing high-order Charlier polynomials. 2023-04-26T02:45:45Z 2023-04-26T02:45:45Z 2022 Book https://link.springer.com/article/10.1007/s11042-022-14259-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8313 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
fPCG RHMs |
spellingShingle |
fPCG RHMs Islam S., Fathi Mohamed Ali, Ahmed M. A., Makhlouf An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
description |
CC BY |
format |
Book |
author |
Islam S., Fathi Mohamed Ali, Ahmed M. A., Makhlouf |
author_facet |
Islam S., Fathi Mohamed Ali, Ahmed M. A., Makhlouf |
author_sort |
Islam S., Fathi |
title |
An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
title_short |
An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
title_full |
An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
title_fullStr |
An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
title_full_unstemmed |
An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems |
title_sort |
efficient compression technique for foetal phonocardiogram signals in remote healthcare monitoring systems |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s11042-022-14259-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8313 |
_version_ |
1764268033582301184 |
score |
8.891145 |