Investigating the Effectiveness of an IMU Portable Gait Analysis Device: An Application for Parkinson’s Disease Management

Author:

Tsotsolas Nikos12ORCID,Koutsouraki Eleni3,Antonakaki Aspasia3,Pizanias Stefanos1,Kounelis Marios1,Piromalis Dimitrios D.4ORCID,Kolovos Dimitrios P.5,Kokkotis Christos678,Tsatalas Themistoklis68ORCID,Bellis George6ORCID,Tsaopoulos Dimitrios7ORCID,Papaggelos Paris6ORCID,Sidiropoulos George9,Giakas Giannis8ORCID

Affiliation:

1. R&D Department, Pan Antistixis SA, 106 71 Athens, Greece

2. DigiT-DSS Lab, University of West Attica, 122 43 Egaleo, Greece

3. R&D Department, E. Koutsouraki & SIA E.E.—Knowledge Brokers, 152 38 Athens, Greece

4. Electrical and Electronics Engineering Department, University of West Attica, 122 43 Egaleo, Greece

5. INNOESYS P.C., 122 41 Egaleo, Greece

6. Biomechanical Solutions, 431 00 Karditsa, Greece

7. Center for Research and Technology Hellas, Institute for Bio-Economy and Agri-Technology, 382 21 Volos, Greece

8. Department of Physical Education & Sport Science, University of Thessaly, 421 00 Trikala, Greece

9. Department of Financial and Management Engineering, University of the Aegean, 821 00 Chios, Greece

Abstract

As part of two research projects, a small gait analysis device was developed for use inside and outside the home by patients themselves. The project PARMODE aims to record accurate gait measurements in patients with Parkinson’s disease (PD) and proceed with an in-depth analysis of the gait characteristics, while the project CPWATCHER aims to assess the quality of hand movement in cerebral palsy patients. The device was mainly developed to serve the first project with additional offline processing, including machine learning algorithms that could potentially be used for the second aim. A key feature of the device is its small size (36 mm × 46 mm × 16 mm, weight: 14 g), which was designed to meet specific requirements in terms of device consumption restrictions due to the small size of the battery and the need for autonomous operation for more than ten hours. This research work describes, on the one hand, the new device with an emphasis on its functions, and on the other hand, its connection with a web platform for reading and processing data from the devices placed on patients’ feet to record the gait characteristics of patients on a continuous basis.

Funder

the European Regional Development Fund of the European Union

Greek national funds

RESEARCH–CREATE–INNOVATE

Publisher

MDPI AG

Reference20 articles.

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