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Variety of nervous system diseases and emergencies can be detected by interpreting plantar stress distributions. Among gait analysis techniques, piezoelectric insole architectures receive boosting attentions due to its convenience for users to wear and its long-term and real-time monitoring ability. However, the complex integration of piezoelectric insole architecture limits its successful use for massive production for the Internet-of-health things (IoHT). Hence, in this article, we present a flexible printed circuit board and lamination-associated technique, which presents high detection sensitivity at 0.1 N, satisfying the need for assisting nervous system disease diagnosis, and showing strong potential for commercialization. <\/jats:p>","DOI":"10.1177\/1550147720905431","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T08:54:12Z","timestamp":1584089652000},"page":"155014772090543","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["A lamination-based piezoelectric insole gait analysis system for massive production for Internet-of-health things"],"prefix":"10.1177","volume":"16","author":[{"given":"Yanning","family":"Dai","sequence":"first","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}]},{"given":"Yuedong","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}]},{"given":"Junliang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}]},{"given":"Shuaibo","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"}]},{"given":"Lijun","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 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