{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T13:36:58Z","timestamp":1771940218777,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2012,8,7]],"date-time":"2012-08-07T00:00:00Z","timestamp":1344297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents the design and testing of a wireless sensor system developed using a Microchip PICDEM developer kit to acquire and monitor human heart sounds for phonocardiography applications. This system can serve as a cost-effective option to the recent developments in wireless phonocardiography sensors that have primarily focused on Bluetooth technology. This wireless sensor system has been designed and developed in-house using off-the-shelf components and open source software for remote and mobile applications. The small form factor (3.75 cm \u00b4 5 cm \u00b4 1 cm), high throughput (6,000 Hz data streaming rate), and low cost ($13 per unit for a 1,000 unit batch) of this wireless sensor system make it particularly attractive for phonocardiography and other sensing applications. The experimental results of sensor signal analysis using several signal characterization techniques suggest that this wireless sensor system can capture both fundamental heart sounds (S1 and S2), and is also capable of capturing abnormal heart sounds (S3 and S4) and heart murmurs without aliasing. The results of a denoising application using Wavelet Transform show that the undesirable noises of sensor signals in the surrounding environment can be reduced dramatically. The exercising experiment results also show that this proposed wireless PCG system can capture heart sounds over different heart conditions simulated by varying heart rates of six subjects over a range of 60\u2013180 Hz through exercise testing.<\/jats:p>","DOI":"10.3390\/s120810851","type":"journal-article","created":{"date-parts":[[2012,8,7]],"date-time":"2012-08-07T10:56:27Z","timestamp":1344336987000},"page":"10851-10870","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications"],"prefix":"10.3390","volume":"12","author":[{"given":"Akkarapol","family":"Sa-ngasoongsong","sequence":"first","affiliation":[{"name":"School of Industrial Engineering & Management, Oklahoma State University, Stillwater, OK 74078, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakkrit","family":"Kunthong","sequence":"additional","affiliation":[{"name":"Boonjitwitthaya School, Sriracha, Chonburi 20230, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Venkatesh","family":"Sarangan","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services, Chennai 600042, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinwei","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Oklahoma State University, Stillwater, OK 74078, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satish T. S.","family":"Bukkapatnam","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering & Management, Oklahoma State University, Stillwater, OK 74078, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2012,8,7]]},"reference":[{"key":"ref_1","unstructured":"Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S., and Turon, M. (November, January 31). Wireless Sensor Networks for Structural Health Monitoring. Boulder, CO, USA."},{"key":"ref_2","unstructured":"Xu, N., Rangwala, S., Chintalapudi, K.K., Ganesan, D., Broad, A., Govindan, R., and Estrin, D. A wireless Sensor Network for Structural Monitoring. Baltimore, MD, USA."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1145\/990680.990704","article-title":"Habitat monitoring with sensor networks","volume":"47","author":"Szewczyk","year":"2004","journal-title":"Commun. 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