Portable gait analysis sensor model for Parkinson’s disease
As part of a research project, a small gait analysis device is being developed that will be used outside of home by the patients themselves. Its main purpose will be to record accurate gait measurements in patients with Parkinson's Disease and proceed with in-depth analysis of the gait characte...
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| Published in | Materials today : proceedings Vol. 63; pp. 653 - 662 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2214-7853 2214-7853 |
| DOI | 10.1016/j.matpr.2022.04.724 |
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| Abstract | As part of a research project, a small gait analysis device is being developed that will be used outside of home by the patients themselves. Its main purpose will be to record accurate gait measurements in patients with Parkinson's Disease and proceed with in-depth analysis of the gait characteristics. A key feature of the device will be its small size, which creates 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 firmware of the device with an emphasis on the functions that will be implemented; and, on the other, the device software which will support the process that will be adopted for reading and processing data from the devices placed on patients' feet to record the gait characteristics of patients on a continuous basis. Using these computational approaches, we developed and carried out an experiment with a 1.60 m tall experimental female subject. We strapped a device to the subject's right ankle and instructed her to take five steps with her right foot, turn 180 degrees, and repeat with the same foot. |
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| AbstractList | As part of a research project, a small gait analysis device is being developed that will be used outside of home by the patients themselves. Its main purpose will be to record accurate gait measurements in patients with Parkinson's Disease and proceed with in-depth analysis of the gait characteristics. A key feature of the device will be its small size, which creates 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 firmware of the device with an emphasis on the functions that will be implemented; and, on the other, the device software which will support the process that will be adopted for reading and processing data from the devices placed on patients' feet to record the gait characteristics of patients on a continuous basis. Using these computational approaches, we developed and carried out an experiment with a 1.60 m tall experimental female subject. We strapped a device to the subject's right ankle and instructed her to take five steps with her right foot, turn 180 degrees, and repeat with the same foot. |
| Author | Giakas, Giannis Koutsouraki, Eleni Tsotsolas, Nikos Randhawa, Princy Kolovos, Dimitrios P. Bellis, George Piromalis, Dimitrios Tsatalas, Themistoklis Chronakis, Antonis Kounelis, Marios Kokkotis, Christos Patel, Akshet Tsaopoulos, Dimitrios |
| Author_xml | – sequence: 1 givenname: Dimitrios surname: Piromalis fullname: Piromalis, Dimitrios email: piromali@uniwa.gr organization: Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece – sequence: 2 givenname: Marios surname: Kounelis fullname: Kounelis, Marios organization: R&D Dept, Pan Antistixis SA – sequence: 3 givenname: Dimitrios P. surname: Kolovos fullname: Kolovos, Dimitrios P. organization: Industrial Informatics Engineer, INNOESYS P.C., Egaleo, Greece – sequence: 4 givenname: Christos surname: Kokkotis fullname: Kokkotis, Christos organization: Biomechanical Solutions, Karditsa, Greece – sequence: 5 givenname: Themistoklis surname: Tsatalas fullname: Tsatalas, Themistoklis organization: Department of Physical Education & Sport Science, University of Thessaly, Trikala, Greece – sequence: 6 givenname: George surname: Bellis fullname: Bellis, George organization: Biomechanical Solutions, Karditsa, Greece – sequence: 7 givenname: Dimitrios surname: Tsaopoulos fullname: Tsaopoulos, Dimitrios organization: Institute for Bioeconomy & Agri-Technology, Center for Research and Technology Hellas, Volos, Greece – sequence: 8 givenname: Giannis surname: Giakas fullname: Giakas, Giannis organization: Department of Physical Education & Sport Science, University of Thessaly, Trikala, Greece – sequence: 9 givenname: Antonis surname: Chronakis fullname: Chronakis, Antonis organization: Biomechanical Solutions, Karditsa, Greece – sequence: 10 givenname: Eleni surname: Koutsouraki fullname: Koutsouraki, Eleni organization: R&D Dept, E. Koutsouraki & SIA E.E - Knowledge Brokers, Athens, Greece – sequence: 11 givenname: Nikos surname: Tsotsolas fullname: Tsotsolas, Nikos organization: R&D Dept, Pan Antistixis SA – sequence: 12 givenname: Princy surname: Randhawa fullname: Randhawa, Princy organization: Department of Mechatronics Engineering, Manipal University Jaipur, Jaipur, India – sequence: 13 givenname: Akshet surname: Patel fullname: Patel, Akshet organization: Department of Mechatronics Engineering, Manipal University Jaipur, Jaipur, India |
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| Cites_doi | 10.1016/j.gaitpost.2008.10.061 10.1007/978-3-319-08927-0_18 10.1108/SR-02-2020-0027 10.1109/34.121791 10.37897/RJN.2014.1.4 10.1109/ACCESS.2020.3007140 10.1109/WISP.2009.5286542 10.3390/s19020299 10.3390/en13154007 10.1109/ICRITO51393.2021.9596388 10.1016/j.jprocont.2010.01.001 10.1097/00008526-200109000-00009 10.1177/027836498600500302 10.1109/CCCA.2011.6031233 10.5081/jgps.3.1.273 10.3182/20080706-5-KR-1001.01469 10.1504/IJGUC.2020.105523 10.1109/ITNG.2008.239 10.1016/j.mechatronics.2003.12.001 10.1088/1361-6501/aab59d 10.1109/JSEN.2014.2382568 10.1109/SSD.2008.4632881 10.1109/ICRITO51393.2021.9596130 |
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| Keywords | Embedded systems Data acquisition systems Firmware Monitoring technologies Wearable devices Parkinson’s disease Gait analysis |
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| Title | Portable gait analysis sensor model for Parkinson’s disease |
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