Adaptive human-machine interface for persons with tremor
Abstract
A new adaptive filter has been developed to model pathological tremor during human-machine interaction. Operating online, the system suppresses tremor to improve precision in human-machine control. Offline, the system processes recorded data to quantify tremor for clinical use. The filter estimates tremor frequency as well as amplitude, adapting the reference input frequency to follow frequency modulation of tremor. The algorithm is computationally inexpensive and simple to implement in many human-machine interface applications. Experimental results are presented.
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Healthy young and elderly people and patients suffering from tremor are able to perform tracking tasks with a frequency up to 2 Hz, with bandwidth decreasing with age.
“For example, one large study carried out with young and elderly healthy people and patients suffering from tremor, demonstrates that both groups are able to perform tracking tasks with a frequency up to 2 Hz, the bandwidth decreasing with age [33].”
From Real-Time Estimation of Pathological Tremor Parameters from Gyroscope Data (2010) · cites this paper as [33]
Estimation algorithms based on gradient-like approaches tend to converge towards the voluntary component, making them unsuitable for direct tremor modelling.
“This makes estimation algorithms based on gradient like approaches tend to converge towards the voluntary component, making them unsuitable for direct tremor modelling [33].”
From Real-Time Estimation of Pathological Tremor Parameters from Gyroscope Data (2010) · cites this paper as [33]
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References 5 · Cited by 29
- Authors
- Riviere, C. N., & Thakor, N. V.
- Affiliations
- Johns Hopkins University (US)
- Venue
- Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 2
- Pages
- 1193-1194
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2122390530
- Cited by
- 29
- References
- 5
- Citations by year
- 2025: 1 · 2023: 1 · 2018: 2 · 2017: 3 · 2016: 1 · 2014: 2 · 2013: 2 · 2012: 1
- FWCI
- 4.98
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- adaptive filtering, pathological tremor, tremor suppression, human-machine interaction, online control, frequency modulation
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