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This paper presents a system implementation to monitor and analyze a subject's behavior changes over time using IoT, with the objective of detecting the impact of an inhibitor drug on the subject's activity levels. In this research we present a case study by which we showed it is possible to follow the effect of an anticholinergic drug by means of an unobtrusive IoT system. We have monitored the physical activity of a subject in his residence for seven consecutive months to study the effect of the inhibiting drug doses introduced at three known specific timestamps. Following, we compared our detection results for the subject\u2019s physical activity change timestamps with the medical staff medication doses timestamps. Our results show that we can detect the physical activity change at close timestamps compared to those indicated by the medical staff.<\/jats:p>","DOI":"10.1007\/978-3-031-43950-6_6","type":"book-chapter","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T03:25:20Z","timestamp":1695266720000},"page":"65-75","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Drug Intervention Follow up with Internet of Things: A Case Study"],"prefix":"10.1007","author":[{"given":"Hassan M.","family":"Ahmed","sequence":"first","affiliation":[]},{"given":"Souhail","family":"Maraoui","sequence":"additional","affiliation":[]},{"given":"Bessam","family":"Abdulrazak","sequence":"additional","affiliation":[]},{"given":"Beno\u00eet","family":"Cossette","sequence":"additional","affiliation":[]},{"given":"F. 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