A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease
Abstract Wearable sensors can objectively and continuously monitor daily-life tremor in Parkinson’s Disease (PD). We developed an open-source algorithm for real-life monitoring of PD tremor which achieves generalizable performance across different wrist-worn devices. We achieved this using a unique...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-025-01056-2 |
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| author | Nienke A. Timmermans Roberta Terranova Diogo C. Soriano Hayriye Cagnan Yordan P. Raykov Ioan Gabriel Bucur Bastiaan R. Bloem Rick C. Helmich Luc J. W. Evers |
| author_facet | Nienke A. Timmermans Roberta Terranova Diogo C. Soriano Hayriye Cagnan Yordan P. Raykov Ioan Gabriel Bucur Bastiaan R. Bloem Rick C. Helmich Luc J. W. Evers |
| author_sort | Nienke A. Timmermans |
| collection | DOAJ |
| description | Abstract Wearable sensors can objectively and continuously monitor daily-life tremor in Parkinson’s Disease (PD). We developed an open-source algorithm for real-life monitoring of PD tremor which achieves generalizable performance across different wrist-worn devices. We achieved this using a unique combination of two independent, complementary datasets. The first was a small, but extensively video-labeled gyroscope dataset collected during unscripted activities at home (n = 24 PD; n = 24 controls). We used this to train and validate a logistic regression tremor detector based on cepstral coefficients. The second was a large, unsupervised dataset (n = 517 PD; n = 50 controls, data collected for 2 weeks with a different device), used to externally validate the algorithm. Results show that our algorithm can reliably quantify real-life PD tremor (sensitivity of 0.61 (0.20) and specificity of 0.97 (0.05)). Weekly aggregated tremor time and power showed excellent test-retest reliability and moderate correlation to MDS-UPDRS rest tremor scores. This opens possibilities to support clinical trials and individual tremor management with wearable technology. |
| format | Article |
| id | doaj-art-8296111a593845a6b76d2cff3a9a0486 |
| institution | DOAJ |
| issn | 2373-8057 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Parkinson's Disease |
| spelling | doaj-art-8296111a593845a6b76d2cff3a9a04862025-08-20T03:04:36ZengNature Portfolionpj Parkinson's Disease2373-80572025-07-0111111010.1038/s41531-025-01056-2A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s diseaseNienke A. Timmermans0Roberta Terranova1Diogo C. Soriano2Hayriye Cagnan3Yordan P. Raykov4Ioan Gabriel Bucur5Bastiaan R. Bloem6Rick C. Helmich7Luc J. W. Evers8Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Institute for Brain, Cognition and BehaviorDepartment of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Institute for Brain, Cognition and BehaviorMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of OxfordMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of OxfordSchool of Mathematical Sciences, University of NottinghamInstitute for Computing and Information Sciences, Radboud UniversityDepartment of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Institute for Brain, Cognition and BehaviorDepartment of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Institute for Brain, Cognition and BehaviorDepartment of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Institute for Brain, Cognition and BehaviorAbstract Wearable sensors can objectively and continuously monitor daily-life tremor in Parkinson’s Disease (PD). We developed an open-source algorithm for real-life monitoring of PD tremor which achieves generalizable performance across different wrist-worn devices. We achieved this using a unique combination of two independent, complementary datasets. The first was a small, but extensively video-labeled gyroscope dataset collected during unscripted activities at home (n = 24 PD; n = 24 controls). We used this to train and validate a logistic regression tremor detector based on cepstral coefficients. The second was a large, unsupervised dataset (n = 517 PD; n = 50 controls, data collected for 2 weeks with a different device), used to externally validate the algorithm. Results show that our algorithm can reliably quantify real-life PD tremor (sensitivity of 0.61 (0.20) and specificity of 0.97 (0.05)). Weekly aggregated tremor time and power showed excellent test-retest reliability and moderate correlation to MDS-UPDRS rest tremor scores. This opens possibilities to support clinical trials and individual tremor management with wearable technology.https://doi.org/10.1038/s41531-025-01056-2 |
| spellingShingle | Nienke A. Timmermans Roberta Terranova Diogo C. Soriano Hayriye Cagnan Yordan P. Raykov Ioan Gabriel Bucur Bastiaan R. Bloem Rick C. Helmich Luc J. W. Evers A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease npj Parkinson's Disease |
| title | A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease |
| title_full | A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease |
| title_fullStr | A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease |
| title_full_unstemmed | A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease |
| title_short | A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease |
| title_sort | generalizable and open source algorithm for real life monitoring of tremor in parkinson s disease |
| url | https://doi.org/10.1038/s41531-025-01056-2 |
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