TUG Test Instrumentation for Parkinson’s disease patients using Inertial Sensors and Dynamic Time Warping
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Article TUG Test Instrumentation for Parkinson’s disease patients using Inertial Sensors and Dynamic Time Warping was published on August 30, 2012 in the journal Biomedical Engineering / Biomedizinische Technik (volume 57, issue SI-1-Track-E).
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Several pilot research studies have successfully developed smartphone applications for PD.
“Several pilot research studies have successfully developed smartphone applications for PD.1, 9, 10, 11, 12, 13, 14, 15, 16, 17”
From Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial (2018) · cites this paper as [9]
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- Authors
- Adame, M. R., Al-Jawad, A., Romanovas, M., Hobert, M. A., Maetzler, W., Möller, K., & Manoli, Y.
- Affiliations
- Furtwangen University (DE)
- Hahn-Schickard-Gesellschaft für angewandte Forschung (DE)
- German Center for Neurodegenerative Diseases (DE)
- University of Freiburg (DE)
- Corresponding author
- Adame, M. Reyes
- Venue
- Biomedical Engineering / Biomedizinische Technik
- Publisher
- Walter de Gruyter GmbH
- Published
- 2012-01-30
- Volume
- 57
- Issue
- SI-1 Track-E
- ISSN
- 0013-5585 (ISSN-L)
- 1862-278X
- OpenAlex
- W2047962978
- Cited by
- 24
- References
- 15
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 2 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 1
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Biomedizinische Technik/Biomedical Engineering (publishedVersion)
- Multimedialen Archiv und Publikationsserver der Christian-Albrechts-Universität zu Kiel (Christian-Albrechts-Universität zu Kiel) (submittedVersion, cc-by-nc-nd)
- DZNE Pub (submittedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Keywords
- Timed Up and Go test, Parkinson's disease, inertial sensors, dynamic time warping, gait analysis, wearable sensors
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