A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Filters
Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition
2013
2013 IEEE International Conference on Acoustics, Speech and Signal Processing
Preserved Fulltext
In this paper, we investigate the performance of compressive sampling (CS) for ECG compression in telecardiology, when the signal acquisition is noisy and unavoidable body movements lead to varying heartbeat ...
We show that CS is quite sensitive to sparsity and compression ratio, while the reconstruction quality of TH-DWT is quite stable. ...
the signal reconstruction quality to diagnostic distortion [11] . ...
doi:10.1109/icassp.2013.6637862
dblp:conf/icassp/ChaeADK13
fatcat:x67ovgtm6zanflr76fut72cz3y
Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network
2015
International Journal of Distributed Sensor Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Experimental results show that its recovery quality is better than some existing CS-based ECG compression algorithms and sufficient for practical use. ...
Hybrid wireless sensor network made up of wireless body area networks (WBANs) and cellular network provides support for telemedicine. ...
In order to offer continuously sensing, processing, and early detection, an ECG sensor is used to collect and compress ECG signals. ...
doi:10.1155/2015/325103
fatcat:xhovvqmzx5bpzauw3aon2aswci
Robust Low-Power Algorithm for Random Sensing Matrix for Wireless ECG Systems Based on Low Sampling-Rate Approach
2013
Journal of Signal and Information Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
With this in mind, Compressed Sensing (CS) procedure and the collaboration of Sensing Matrix Selection (SMS) approach are used to provide a robust ultra-low-power approach for normal and abnormal ECG signals ...
Our simulation results based on two proposed algorithms illustrate 25% decrease in sampling-rate and a good level of quality for the degree of incoherence between the random measurement and sparsity matrices ...
Advanced ECG N wireless sensor, sensor i is acquiring a sample i d of the human body [9]. ...
doi:10.4236/jsip.2013.43b022
fatcat:qgd3hseu4nerbntrb2xry5f54e
Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory
2013
Procedia Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Wireless Body Area Networks (WBANs) consist of tiny Biomedical Wireless Sensors (BWSs) and a Gate Way (GW) to connect to the external databases in the hospital and medical centres. ...
With this in mind, Compressed Sensing (CS) procedure and the collaboration of Block Sparse Bayesian Learning (BSBL) framework is used to provide a robust low sampling-rate approach for normal and abnormal ...
The CS based on BSBL framework can compress normal and abnormal ECG signals with high probability and enough accuracy. ...
doi:10.1016/j.procs.2013.06.040
fatcat:vkhyly4c4bfnxoe5nc7kocguni
Compressed sensing of multi-lead ECG signals by compressive multiplexing
2015
Current Directions in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
However, current approaches only focus on signal reconstruction and do not consider the efficient compression of signal ensembles. ...
In this work, we propose the utilization of a compressive multiplexing architecture that facilitates an efficient implementation of hardware compressed sensing for multi-lead ECG signals. ...
compression in wireless sensor networks. ...
doi:10.1515/cdbme-2015-0017
fatcat:kahny5agifgjdbejxekl5pkjvq
A Survey on different Compression Techniques for ECG Data Reduction
2017
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The signals collected from the body needs to be processed and compressed before directing to monitoring center. ...
, AZTEC, CORTES, DCT etc. in terms of different performance metrics like Compression Ratio (CR), Percent Mean Square Difference (PRD) and Quality Score (QS). ...
CS is specified to the Electrocardiogram (ECG) signal for data condensation in WBN network. Wavelet compressed signal is used for the multi-lead ECG signal [11] . ...
doi:10.5120/ijca2017914834
fatcat:eddtaxnjgnf2ze6kd33n6mktaq
Optimized Compressive Sensing Based ECG Signal Compression and Reconstruction
2022
Intelligent Automation and Soft Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In wireless body sensor network (WBSN), the set of electrocardiograms (ECG) data which is collected from sensor nodes and transmitted to the server remotely supports the experts to monitor the health of ...
So, this work focuses to present CS for ECG signal compression and reconstruction. ...
Acknowledgement: The authors with a deep sense of gratitude would thank the supervisor for his guidance and constant support rendered during this research. ...
doi:10.32604/iasc.2022.022860
fatcat:nopfxdfz35c6jdtd53ah2jdyvq
Real-time compressed sensing-based electrocardiogram compression on energy-constrained wireless body sensors
2011
2011 IEEE International Symposium of Circuits and Systems (ISCAS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We have recently quantified and validated the potential of the emerging compressed sensing (CS) paradigm for real-time energy-efficient electrocardiogram (ECG) compression on resource-constrained sensors ...
More specifically, re-visiting well-known sparse recovery algorithms, we propose novel modelbased adaptations for the robust recovery of compressible signals like ECG. ...
body sensor network (WBSN) motes. ...
doi:10.1109/iscas.2011.5937920
dblp:conf/iscas/MamaghanianKAV11
fatcat:pvkvfkuz4jb4rpce6hqd3eguhu
Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes
2011
IEEE Transactions on Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
CS-based ECG compression is accordingly shown to achieve a 37.1% extension in node lifetime relative to its DWTbased counterpart for "good" reconstruction quality. ...
Wireless body sensor networks (WBSN) hold the promise to be a key enabling information and communications technology for next-generation patient-centric telecardiology or mobile cardiology solutions. ...
Wireless body sensor network (WBSN) technologies promise to offer large-scale and cost-effective solutions to this problem. ...
doi:10.1109/tbme.2011.2156795
pmid:21606019
fatcat:zxcaaddy4naivnu7tk3s64llly
Diagnostic grade wireless ECG monitoring
2011
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We present an application of Compressive Sensing (CS) as an error mitigation scheme at the application layer for wearable, wireless sensors in diagnostic grade remote monitoring of ECG. ...
In remote monitoring of Electrocardiogram (ECG), it is very important to ensure that the diagnostic integrity of signals is not compromised by sensing artifacts and channel errors. ...
CS OPERATIONS AT SENSOR AND RECEIVER In this section we briefly review the CS framework for sensing and reconstruction of sparse signals and present applications in ECG telemetry.
A. ...
doi:10.1109/iembs.2011.6090194
pmid:22254444
dblp:conf/embc/GarudadriCBMBB11
fatcat:zv3cigcxgbc77jdvw7lxh5qn3u
Adaptive Best Mother Wavelet Based Compressive Sensing Algorithm for Energy Efficient ECG Signal Compression in WBAN Node
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To overcome this design issue a novel minimum PRD based adaptive best mother wavelet (ABMW) selection algorithm has been proposed individually for each block and tested for compression of ECG signals in ...
of 1.7 seconds for compression and recovery of 10 seconds ECG data. ...
Komalakumari for extending help in debugging programs and volunteers whose normal ECG signals were recorded for research purpose. We also thank anonymous reviewers for their valuable feedback . ...
doi:10.35940/ijitee.j8801.0881019
fatcat:lepebmce6jfhflfqaqjzvoqlwe
Structured sparsity models for compressively sensed electrocardiogram signals: A comparative study
2011
2011 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We have recently quantified and validated the potential of the emerging compressed sensing (CS) paradigm for real-time energy-efficient electrocardiogram (ECG) compression on resource-constrained sensors ...
More specifically, re-visiting well-known sparse recovery algorithms, we propose novel modelbased adaptations for the robust recovery of compressible signals like ECG. ...
body sensor network (WBSN) motes. ...
doi:10.1109/biocas.2011.6107743
fatcat:abmpglp5avfalgkbcsj7i46i6q
Performance Evaluation of Compressive Sensing Based Compression of Multi-Resolution Ppg Signals Under Wban Environment
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Wireless Body Area Network (WBAN) is a collection of wireless biosensors worn on the body, in which each sensor node is capable of computing and communicating with other nodes or devices like smart phones ...
In this context, Compressive sensing (CS) based energy efficient compression algorithms have been developed and tested for 8 -bit and 10-bit resolution Photoplethesmogram (PPG) signal. ...
Biomedical sensors worn on the body with communication capabilities will be very helpful in patient monitoring and has led to the development of wireless body area network (WBAN). ...
doi:10.35940/ijitee.k1599.0881119
fatcat:luibvfa3rbadxnmelt5pwyme34
Cooperative compressed sensing schemes for telemonitoring of vital signals in WBANs
2014
2014 IEEE Global Communications Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Wireless Body Area Networks (WBANs) are composed of various sensors that either monitor and transmit real time vital signals or act as relays that forward the received data packets to a nearby Body Node ...
with key characteristics of the transmitted biosignals in order to achieve an energy efficient signal reconstruction at the BNC. ...
The compression/reconstruction efficiency of the algorithms running on nodes in the network can be optimized by proposing encoding/decoding schemes, with high Compression Ratio (CR) capabilities and reduced ...
doi:10.1109/glocom.2014.7037165
dblp:conf/globecom/LalosKATR0V14
fatcat:n4ycauiqsra7njnsqe3vhu4wny
Heart Rate and Blood Pressure Estimation from Compressively Sensed Photoplethysmograph
2009
Proceedings of the 4th International ICST Conference on Body Area Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we consider the problem of low power SpO2 sensors for acquiring Photoplethysmograph (PPG) signals. Most of the power in SpO2 sensors goes to lighting red and infra-red LEDs. ...
For BP estimation we use ECG signals along with the reconstructed PPG waveform. ...
INTRODUCTION Body area networks (BAN) are promising for healthcare applications such as continuous monitoring for diagnostic purposes, effects of medicines on chronic ailments, etc. in addition to promoting ...
doi:10.4108/icst.bodynets2009.6023
dblp:conf/bodynets/BahetiG09
fatcat:24rff4kh4rculfhmf53y6givpm
« Previous
Showing results 1 — 15 out of 953 results