Bibliographic Details
| Title: |
Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease |
| Authors: |
Nicholas Kostikis, George Rigas, Spyridon Konitsiotis, Dimitrios I. Fotiadis |
| Source: |
Sensors, Vol 21, Iss 23, p 7801 (2021) |
| Publisher Information: |
MDPI AG, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Chemical technology |
| Subject Terms: |
sensor placement identification, sensor location, sensor position, monitoring Parkinson’s disease, Chemical technology, TP1-1185 |
| More Details: |
Sensor placement identification in body sensor networks is an important feature, which could render such a system more robust, transparent to the user, and easy to wear for long term data collection. It can be considered an active measure to avoid the misuse of a sensing system, specifically as these platforms become more ubiquitous and, apart from their research orientation, start to enter industries, such as fitness and health. In this work we discuss the offline, fixed class, sensor placement identification method implemented in PDMonitor®, a medical device for long-term Parkinson’s disease monitoring at home. We analyze the stepwise procedure used to accurately identify the wearables depending on how many are used, from two to five, given five predefined body positions. Finally, we present the results of evaluating the method in 88 subjects, 61 Parkinson’s disease patients and 27 healthy subjects, when the overall average accuracy reached 99.1%. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1424-8220 |
| Relation: |
https://www.mdpi.com/1424-8220/21/23/7801; https://doaj.org/toc/1424-8220 |
| DOI: |
10.3390/s21237801 |
| Access URL: |
https://doaj.org/article/7151bd8bc5e04a34b1e078c6c30b3214 |
| Accession Number: |
edsdoj.7151bd8bc5e04a34b1e078c6c30b3214 |
| Database: |
Directory of Open Access Journals |
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