{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:30:11Z","timestamp":1769923811251,"version":"3.49.0"},"reference-count":52,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61803017"],"award-info":[{"award-number":["61803017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002358","name":"Beihang University","doi-asserted-by":"publisher","award":["KG12090401\/ZG216S19C8"],"award-info":[{"award-number":["KG12090401\/ZG216S19C8"]}],"id":[{"id":"10.13039\/501100002358","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p> Gait analysis has become a hot spot in recent years, because it is proven that the status of a vast number of chronic diseases can be reflected by changes in gait. Furthermore, gait analysis can also help in improving the performance of athletes. Among the diverse gait analysis techniques, the piezoelectric-based insole technique has received broad attention due to its merits such as passive detection, high sensitivity, and low power consumption. However, the key coefficient of detecting plantar normal stress, the piezoelectric d<jats:sub>33<\/jats:sub> coefficient, relies on the force frequency, which occupies a relatively wide bandwidth (1 Hz\u20131 kHz) during walking events. In order to get the frequency information of the signal, in this work, empirical mode decomposition is used to separate the gait signal into several intrinsic mode functions, and then the frequency information of each function is interpreted using the normalized Hilbert transform. In this way, the piezoelectric d<jats:sub>33<\/jats:sub> coefficient is calibrated at every moment, obtaining higher accuracy (2.65% maximum improvement) in gait signal detection, promoting the development of gait analysis\u2013based disease diagnosis and treatment. <\/jats:p>","DOI":"10.1177\/1550147720905441","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T08:52:11Z","timestamp":1584089531000},"page":"155014772090544","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["A force\u2013voltage responsivity stabilization method for piezoelectric-based insole gait analysis for high detection accuracy in health monitoring"],"prefix":"10.1177","volume":"16","author":[{"given":"Junliang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China"},{"name":"School of Biological Science and Medical Engineering, Beihang University, Beijing, China"}]},{"given":"Yanning","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China"}]},{"given":"Yuedong","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China"}]},{"given":"Wenbin","family":"Tian","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China"}]},{"given":"Lijun","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3096-4700","authenticated-orcid":false,"given":"Shuo","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"bibr1-1550147720905441","doi-asserted-by":"publisher","DOI":"10.3390\/s120202255"},{"key":"bibr2-1550147720905441","first-page":"20","volume-title":"2011 IEEE 15th international symposium on consumer electronics (ISCE)","author":"Wahab Y"},{"key":"bibr3-1550147720905441","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2007.899493"},{"key":"bibr4-1550147720905441","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-16232-5"},{"key":"bibr5-1550147720905441","doi-asserted-by":"publisher","DOI":"10.1111\/dmcn.12826"},{"key":"bibr6-1550147720905441","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2016.12.021"},{"key":"bibr7-1550147720905441","volume-title":"Gait analysis: theory and application","author":"Oatis CA","year":"1994"},{"issue":"6","key":"bibr8-1550147720905441","first-page":"915","volume":"48","author":"Budsberg SC","year":"1987","journal-title":"Am J Vet Res"},{"key":"bibr9-1550147720905441","doi-asserted-by":"publisher","DOI":"10.1016\/j.mee.2012.06.005"},{"key":"bibr10-1550147720905441","doi-asserted-by":"publisher","DOI":"10.3390\/s140203362"},{"key":"bibr11-1550147720905441","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1109\/SENSOR.2005.1496534","volume-title":"The 13th international conference on solid-state sensors, actuators and microsystems, 2005. 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