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Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition

Daniel H. Chae, Yibeltal F. Alem, Salman Durrani, Rodney A. Kennedy
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
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

Weiwei Li, Ting Jiang, Ning Wang
2015 International Journal of Distributed Sensor Networks  
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

Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar krishnan
2013 Journal of Signal and Information Processing  
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

Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
2013 Procedia Computer Science  
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

Timo Tigges, Janis Sarikas, Michael Klum, Reinhold Orglmeister
2015 Current Directions in Biomedical Engineering  
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

Sakshi S., Nirvair Neeru
2017 International Journal of Computer Applications  
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

Ishani Mishra, Sanjay Jain
2022 Intelligent Automation and Soft Computing  
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

Hossein Mamaghanian, Nadia Khaled, David Atienza, Pierre Vandergheynst
2011 2011 IEEE International Symposium of Circuits and Systems (ISCAS)  
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

H. Mamaghanian, N. Khaled, D. Atienza, P. Vandergheynst
2011 IEEE Transactions on Biomedical Engineering  
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

Harinath Garudadri, Yuejie Chi, Steve Baker, Somdeb Majumdar, Pawan K. Baheti, Dan Ballard
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
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  
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

Hossein Mamaghanian, Nadia Khaled, David Atienza, Pierre Vandergheynst
2011 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS)  
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  
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

Aris S. Lalos, Elli Kartsakli, Angelos Antonopoulos, Stefano Termina, Marco Di Renzo, Luis Alonso, Christos Verikoukis
2014 2014 IEEE Global Communications Conference  
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

Pawan K. Baheti, Harinath Garudadri
2009 Proceedings of the 4th International ICST Conference on Body Area Networks  
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
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