Giulia Bottoni
KROOM: Knee Range of Motion Monitoring System for personalize rehabilitation in Osteoarthritis Patients. A machine learning exploratory study for more define and flexible boundaries around walking and stair ambulation clusters in free-living conditions.
Rel. Danilo Demarchi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2018
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Abstract
The KROMM, “Knee Range of Motion Monitoring” is a knee wearable electrogoniometer composed of a knee angular sensor and a three-axis accelerometer placed on the thigh. The clinical relevance of this device is guarantee to the clinicians the possibility of an accurate assessment of the knee range of motion during walking and stair ambulation and to the patients with knee osteoarthritis a personalized rehabilitation also in the home setting. The aim of this stage of the study is developing the next version of the KROMM system achieving three main goals: 1.improving the activity detection capability of the algorithm incorporated into the sensors; 2.improving the ergonomics of the design for avoid sudden breaks and uncomfortable usability; 3.improving the user- friendliness of the app on the smartphone for help the patients in the home environment giving information about the time spent in each activity.
In particular, the focus of this thesis is the implementation of the activities detection mechanism of this platform that will construct more flexible and refined decision boundaries around the clusters of walking and stairs ambulation amongst dynamic, heterogeneous, and individualized free living activities
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