Tremor evaluation using smartphone accelerometry in standardized settings
(2022) In Frontiers in Neuroscience 16.- Abstract
Tremor can be highly incapacitating in everyday life and typically fluctuates depending on motor state, medication status as well as external factors. For tremor patients being treated with deep-brain stimulation (DBS), adapting the intensity and pattern of stimulation according the current needs therefore has the potential to generate better symptomatic relief. We here describe a procedure for how patients independently could perform self-tests in their home to generate sensor data for on-line adjustments of DBS parameters. Importantly, the inertia sensor technology needed exists in any standard smartphone, making the procedure widely accessible. Applying this procedure, we have characterized detailed features of tremor patterns... (More)
Tremor can be highly incapacitating in everyday life and typically fluctuates depending on motor state, medication status as well as external factors. For tremor patients being treated with deep-brain stimulation (DBS), adapting the intensity and pattern of stimulation according the current needs therefore has the potential to generate better symptomatic relief. We here describe a procedure for how patients independently could perform self-tests in their home to generate sensor data for on-line adjustments of DBS parameters. Importantly, the inertia sensor technology needed exists in any standard smartphone, making the procedure widely accessible. Applying this procedure, we have characterized detailed features of tremor patterns displayed by both Parkinson’s disease and essential tremor patients and directly compared measured data against both clinical ratings (Fahn-Tolosa-Marin) and finger-attached inertia sensors. Our results suggest that smartphone accelerometry, when used in a standardized testing procedure, can provide tremor descriptors that are sufficiently detailed and reliable to be used for closed-loop control of DBS.
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- author
- Sahin, Gürdal LU ; Halje, Pär LU ; Uzun, Sena LU ; Jakobsson, Andreas LU and Petersson, Per LU
- organization
-
- Integrative Neurophysiology (research group)
- Regeneration in Movement Disorders (research group)
- MultiPark: Multidisciplinary research focused on Parkinson´s disease
- Neuronano Research Center (NRC) (research group)
- Neurology, Lund
- LTH Profile Area: AI and Digitalization
- LTH Profile Area: Engineering Health
- eSSENCE: The e-Science Collaboration
- Mathematical Statistics
- Statistical Signal Processing Group (research group)
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- closed-loop, essential tremor, inertia sensors, neuromodulation, Parkinson’s disease
- in
- Frontiers in Neuroscience
- volume
- 16
- article number
- 861668
- publisher
- Frontiers Media S. A.
- external identifiers
-
- scopus:85136203856
- pmid:35979340
- ISSN
- 1662-4548
- DOI
- 10.3389/fnins.2022.861668
- language
- English
- LU publication?
- yes
- id
- 38e0f6dc-6109-4b6b-af19-f7a6afc4e92d
- date added to LUP
- 2022-09-23 14:21:39
- date last changed
- 2024-09-17 10:06:35
@article{38e0f6dc-6109-4b6b-af19-f7a6afc4e92d, abstract = {{<p>Tremor can be highly incapacitating in everyday life and typically fluctuates depending on motor state, medication status as well as external factors. For tremor patients being treated with deep-brain stimulation (DBS), adapting the intensity and pattern of stimulation according the current needs therefore has the potential to generate better symptomatic relief. We here describe a procedure for how patients independently could perform self-tests in their home to generate sensor data for on-line adjustments of DBS parameters. Importantly, the inertia sensor technology needed exists in any standard smartphone, making the procedure widely accessible. Applying this procedure, we have characterized detailed features of tremor patterns displayed by both Parkinson’s disease and essential tremor patients and directly compared measured data against both clinical ratings (Fahn-Tolosa-Marin) and finger-attached inertia sensors. Our results suggest that smartphone accelerometry, when used in a standardized testing procedure, can provide tremor descriptors that are sufficiently detailed and reliable to be used for closed-loop control of DBS.</p>}}, author = {{Sahin, Gürdal and Halje, Pär and Uzun, Sena and Jakobsson, Andreas and Petersson, Per}}, issn = {{1662-4548}}, keywords = {{closed-loop; essential tremor; inertia sensors; neuromodulation; Parkinson’s disease}}, language = {{eng}}, publisher = {{Frontiers Media S. A.}}, series = {{Frontiers in Neuroscience}}, title = {{Tremor evaluation using smartphone accelerometry in standardized settings}}, url = {{http://dx.doi.org/10.3389/fnins.2022.861668}}, doi = {{10.3389/fnins.2022.861668}}, volume = {{16}}, year = {{2022}}, }