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Quantifying and monitoring gait impairment therefore represents a novel means of functional postoperative home recovery follow-up. Until now, this type of assessment could only be made in a gait lab, which is both expensive and labor intensive to administer on a large scale. The objective of this work is to validate the use of an ear-worn activity recognition (e-AR) sensor for quantification of gait impairment after abdominal wall and perianal surgery. The e-AR sensor was used on 2 comparative simulated data sets (N = 32) of truncal impairment to observe walking patterns. The sensor was also used to observe the walking patterns of preoperative and postoperative surgical patients who had undergone abdominal wall (n = 5) and perianal surgery (n = 5). Methods for multiresolution feature extraction, selection, and classification are investigated using the raw ear-sensor data. Results show that the method demonstrates a good separation between impaired and nonimpaired classes for both simulated and real patient data sets. This indicates that the e-AR sensor may be used as a tool for the pervasive assessment of postoperative gait impairment, as part of functional recovery monitoring, in patients at their own homes.<\/jats:p>","DOI":"10.1177\/1553350612445639","type":"journal-article","created":{"date-parts":[[2012,5,28]],"date-time":"2012-05-28T20:36:19Z","timestamp":1338237379000},"page":"86-94","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["An Ear-Worn Sensor for the Detection of Gait Impairment After Abdominal Surgery"],"prefix":"10.1177","volume":"20","author":[{"given":"Louis","family":"Atallah","sequence":"first","affiliation":[{"name":"Imperial College London, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omer","family":"Aziz","sequence":"additional","affiliation":[{"name":"Imperial College London, London, 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