{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:59:51Z","timestamp":1775084391981,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Department of Electronics and Information Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In healthcare scenario, the major challenge in anomaly detection for remote patient monitoring is to classify true medical conditions and false alarms. This paper proposes a light-weight anomaly detection (LWAD) framework for detecting anomalies in remote patient monitoring based on wireless body area networks. The proposed framework uses distance correlation for finding correlated (both linear and non-linear) physiological parameters. It also uses a statistical-based improvised dynamic sliding window algorithm for efficient short-range prediction of physiological parameters. Finally, the proposed LWAD framework detects anomalies using anomaly detection framework based on robust statistical techniques. The validation of LWAD framework is performed using three real time datasets with various statistical measures. The proposed LWAD framework outperforms existing methods.<\/jats:p>","DOI":"10.1093\/comjnl\/bxab016","type":"journal-article","created":{"date-parts":[[2021,3,2]],"date-time":"2021-03-02T20:10:33Z","timestamp":1614715833000},"page":"1752-1759","source":"Crossref","is-referenced-by-count":8,"title":["A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks"],"prefix":"10.1093","volume":"65","author":[{"given":"Smrithy","family":"G S","sequence":"first","affiliation":[{"name":"Department of Computer Applications , , Tiruchirappalli 620015, India"},{"name":"National Institute of Technology , , Tiruchirappalli 620015, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramadoss","family":"Balakrishnan","sequence":"additional","affiliation":[{"name":"HAG , Department of Computer Applications, , Tiruchirappalli 620015, India"},{"name":"National Institute of Technology , Department of Computer Applications, , Tiruchirappalli 620015, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,4,19]]},"reference":[{"key":"2022071813385941400_ref1","doi-asserted-by":"crossref","first-page":"465","DOI":"10.4218\/etrij.2018-0320","article-title":"TF-CPABE: An efficient and secure data communication with policy updating in wireless body area networks","volume":"41","author":"Chandrasekaran","year":"2019","journal-title":"ETRI Journal"},{"key":"2022071813385941400_ref2","doi-asserted-by":"crossref","first-page":"272","DOI":"10.5626\/JCSE.2013.7.4.272","article-title":"Anomaly detection in medical wireless sensor networks","volume":"7","author":"Salem","year":"2013","journal-title":"Journal of Computing Science and Engineering"},{"key":"2022071813385941400_ref3","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/IranianCEE.2017.7985142","volume-title":"2017 Iranian Conference on Electrical Engineering (ICEE)","author":"Dehabadi","year":"2017"},{"key":"2022071813385941400_ref4","doi-asserted-by":"crossref","first-page":"8764","DOI":"10.3390\/s150408764","article-title":"Sensor anomaly detection in wireless sensor networks for healthcare","volume":"15","author":"Haque","year":"2015","journal-title":"Sensors"},{"key":"2022071813385941400_ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/dac.3352","article-title":"An efficient approach for outlier detection in big sensor data of health care","volume":"30","author":"Saneja","year":"2017","journal-title":"International Journal of Communication Systems"},{"key":"2022071813385941400_ref6","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/978-981-10-7641-1_8","volume-title":"Data Science and Big Data Analytics","author":"Smrithy","year":"2019"},{"key":"2022071813385941400_ref7","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1049\/iet-wss.2019.0134","article-title":"Toward fast and accurate emergency cases detection in BSNs","volume":"10","author":"Boudargham","year":"2020","journal-title":"IET Wireless Sensor Systems"},{"key":"2022071813385941400_ref8","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/KCIC.2018.8628522","volume-title":"2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","author":"Al Rasyid","year":"2018"},{"key":"2022071813385941400_ref9","doi-asserted-by":"crossref","first-page":"1751","DOI":"10.1109\/IranianCEE.2019.8786588","volume-title":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","author":"Nezhad","year":"2019"},{"key":"2022071813385941400_ref10","first-page":"1","volume-title":"2013 conference on new media studies (CoNMedia)","author":"Hansun","year":"2013"},{"key":"2022071813385941400_ref11","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals","volume":"101","author":"Goldberger","year":"2000","journal-title":"Circulation"},{"key":"2022071813385941400_ref12","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.jesp.2013.03.013","article-title":"Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median","volume":"49","author":"Leys","year":"2013","journal-title":"J. Exp. Soc. Psychol."}],"container-title":["The Computer Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/comjnl\/article-pdf\/65\/7\/1752\/44921827\/bxab016.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/comjnl\/article-pdf\/65\/7\/1752\/44921827\/bxab016.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T13:42:23Z","timestamp":1658151743000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/comjnl\/article\/65\/7\/1752\/6236077"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":12,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2021,4,19]]},"published-print":{"date-parts":[[2022,7,15]]}},"URL":"https:\/\/doi.org\/10.1093\/comjnl\/bxab016","relation":{},"ISSN":["0010-4620","1460-2067"],"issn-type":[{"value":"0010-4620","type":"print"},{"value":"1460-2067","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,7,15]]},"published":{"date-parts":[[2021,4,19]]}}}