{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:29:57Z","timestamp":1763346597655,"version":"3.45.0"},"reference-count":30,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:00:00Z","timestamp":1762041600000},"content-version":"vor","delay-in-days":305,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.070391","type":"journal-article","created":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T14:39:27Z","timestamp":1759415967000},"page":"5723-5745","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["An Efficient CSP-PDW Approach for ECG Signal Compression and Reconstruction for IoT-Based Healthcare"],"prefix":"10.32604","volume":"85","author":[{"given":"Hari Mohan","family":"Rai","sequence":"first","affiliation":[]},{"given":"Chandra","family":"Mukherjee","sequence":"additional","affiliation":[]},{"given":"Joon","family":"Yoo","sequence":"additional","affiliation":[]},{"given":"Hanaa A.","family":"Abdallah","sequence":"additional","affiliation":[]},{"given":"Saurabh","family":"Agarwal","sequence":"additional","affiliation":[]},{"given":"Wooguil","family":"Pak","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","article-title":"Compressed sensing","volume":"52","author":"Donoho","year":"2006","journal-title":"IEEE Trans Inf Theory"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/MSP.2007.914731","article-title":"An introduction to compressive sampling","volume":"25","author":"Candes","year":"2008","journal-title":"IEEE Signal Process Mag"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"5513","DOI":"10.1109\/JSEN.2023.3243390","article-title":"Compressed sensing approach for physiological signals: a review","volume":"23","author":"Lal","year":"2023","journal-title":"IEEE Sens J"},{"article-title":"ECG signal analysis using emerging tools in current scenario of health informatics","series-title":"2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence); 2021 Jan 28\u201329","author":"Gupta","key":"ref4"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"35709","DOI":"10.1007\/s11042-023-17099-7","article-title":"ECG signals compression using dynamic compressive sensing technique toward IoT applications","volume":"83","author":"Hassan","year":"2023","journal-title":"Multimed Tools Appl"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2515","DOI":"10.1109\/TMM.2023.3301213","article-title":"Rate-adaptive neural network for image compressive sensing","volume":"26","author":"Hui","year":"2023","journal-title":"IEEE Trans Multimed"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1007\/s40998-023-00620-x","article-title":"Classification of ECG arrhythmia using wavelet packet transform analysis and sparse learning method","volume":"47","author":"Mavaddati","year":"2023","journal-title":"Iran J Sci Technol Trans Electr Eng"},{"key":"ref8","first-page":"3753","article-title":"A review of deep learning for biomedical signals: current applications, advancements, future prospects, interpretation, and challenges","volume":"83","author":"Alqudah","year":"2025","journal-title":"Comput Mater Contin"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"146","DOI":"10.3390\/bios12030146","article-title":"A study on dictionary selection in compressive sensing for ECG signals compression and classification","volume":"12","author":"Fira","year":"2022","journal-title":"Biosensors"},{"article-title":"ECG signal compression using compressed sensing with nonuniform binary matrices","series-title":"The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012); 2012 May 2\u20133","author":"Ansari-Ram","key":"ref10"},{"article-title":"Measurement uncertainty for biological signals","series-title":"Proceedings of the 2025 26th International Carpathian Control Conference (ICCC); 2025 May 19\u201321","author":"Kot","key":"ref11"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"103904","DOI":"10.1016\/j.jvcir.2023.103904","article-title":"An efficient optimization of measurement matrix for compressive sensing","volume":"95","author":"Patel","year":"2023","journal-title":"J Vis Commun Image Represent"},{"article-title":"ECG signal compression based on wavelet parameterization and thresholding using PSO","series-title":"2020 International Conference on Communication and Signal Processing (ICCSP); 2020 Jul 28\u201330","author":"Singhai","key":"ref13"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1109\/TBME.2012.2226175","article-title":"Compressed sensing for energy-efficient wireless telemonitoring of noninvasive fetal ECG via block sparse Bayesian learning","volume":"60","author":"Zhang","year":"2013","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1109\/10.846678","article-title":"Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm","volume":"47","author":"Lu","year":"2000","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1109\/10.991163","article-title":"An efficient coding algorithm for the compression of ECG signals using the wavelet transform","volume":"49","author":"Rajoub","year":"2002","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"11203","DOI":"10.1007\/s11042-024-19328-z","article-title":"Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications","volume":"84","author":"Ali Hassan","year":"2025","journal-title":"Multimed Tools Appl"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1760","DOI":"10.3390\/electronics12081760","article-title":"A novel method for ECG signal compression and reconstruction: down-sampling operation and signal-referenced network","volume":"12","author":"Huang","year":"2023","journal-title":"Electronics"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"3509","DOI":"10.1007\/s00034-022-02280-4","article-title":"ECG signal compression based on optimization of wavelet parameters and threshold levels using evolutionary techniques","volume":"42","author":"Singhai","year":"2023","journal-title":"Circuits Syst Signal Process"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.cogsys.2018.07.004","article-title":"An efficient compression of ECG signals using deep convolutional autoencoders","volume":"52","author":"Yildirim","year":"2018","journal-title":"Cogn Syst Res"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"12450","DOI":"10.1109\/JIOT.2023.3336995","article-title":"Lightweight lossy\/lossless ECG compression for medical IoT systems","volume":"11","author":"Chang","year":"2024","journal-title":"IEEE Internet Things J"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"39129","DOI":"10.1109\/ACCESS.2022.3166476","article-title":"An energy-efficient compression algorithm of ECG signals in remote healthcare monitoring systems","volume":"10","author":"Fathi","year":"2022","journal-title":"IEEE Access"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"524","DOI":"10.3390\/bios12070524","article-title":"New ECG compression method for portable ECG monitoring system merged with binary convolutional auto-encoder and residual error compensation","volume":"12","author":"Shi","year":"2022","journal-title":"Biosensors"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"105012","DOI":"10.1016\/j.bspc.2023.105012","article-title":"Lightweight electrocardiogram signal compression","volume":"85","author":"Kuldeep","year":"2023","journal-title":"Biomed Signal Process Control"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1080\/10255842.2023.2206933","article-title":"An effective ECG signal compression algorithm with self controlled reconstruction quality","volume":"27","author":"Pal","year":"2024","journal-title":"Comput Methods Biomech Biomed Engin"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"30937","DOI":"10.1007\/s11042-023-16631-z","article-title":"Real-time hardware architecture of an ECG compression algorithm for IoT health care systems and its VLSI implementation","volume":"83","author":"Ez-ziymy","year":"2024","journal-title":"Multimed Tools Appl"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.isatra.2023.07.033","article-title":"Electrocardiogram signal compression using adaptive tunable-Q wavelet transform and modified dead-zone quantizer","volume":"142","author":"Pal","year":"2023","journal-title":"ISA Trans"},{"key":"ref28","first-page":"1","article-title":"Optimized tunable-Q wavelet transform-based 2-D ECG compression technique using DCT","volume":"72","author":"Pal","year":"2023","journal-title":"IEEE Trans Instrum Meas"},{"article-title":"Compressed sensing based method for ECG compression","series-title":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2011 May 22\u201327","author":"Polania","key":"ref29"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1422","DOI":"10.1109\/TBME.2000.880093","article-title":"The weighted diagnostic distortion (WDD) measure for ECG signal compression","volume":"47","author":"Zigel","year":"2000","journal-title":"IEEE Trans Biomed Eng"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-85-3\/TSP_CMC_70391\/TSP_CMC_70391.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:25:21Z","timestamp":1763346321000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v85n3\/64201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":30,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.070391","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2025-07-15","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-09-10","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-23","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}