Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson's Disease and Essential Tremor
- PMID: 33573076
- PMCID: PMC7911899
- DOI: 10.3390/diagnostics11020200
Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson's Disease and Essential Tremor
Abstract
Involuntary tremor at rest is observed in patients with Parkinson's disease (PD) or essential tremor (ET). Electromyography (EMG) studies have shown that phase displacement between antagonistic muscles at prevalent tremor frequency can accurately differentiate resting tremor in PD from that detected in ET. Currently, phase evaluation is qualitative in most cases. The aim of this study is to develop and validate a new mobile tool for the automated and quantitative characterization of phase displacement (resting tremor pattern) in ambulatory clinical settings. A new low-cost, wearable mobile device, called µEMG, is described, based on low-end instrumentation amplifiers and simple digital signal processing (DSP) capabilities. Measurements of resting tremor characteristics from this new device were compared with standard EMG. A good level of agreement was found in a sample of 21 subjects (14 PD patients with alternating resting tremor pattern and 7 ET patients with synchronous resting tremor pattern). Our results demonstrate that tremor analysis using µEMG is easy to perform and it can be used in routine clinical practice for the automated quantification of resting tremor patterns. Moreover, the measurement process is handy and operator-independent.
Keywords: Parkinson’s disease; electromyography; phase pattern; rest tremor; wearable device.
Conflict of interest statement
The authors declare no conflict of interest.
Figures




Similar articles
-
Development of a New Wearable Device for the Characterization of Hand Tremor.Bioengineering (Basel). 2023 Aug 30;10(9):1025. doi: 10.3390/bioengineering10091025. Bioengineering (Basel). 2023. PMID: 37760127 Free PMC article.
-
Synchronous pattern distinguishes resting tremor associated with essential tremor from rest tremor of Parkinson's disease.Parkinsonism Relat Disord. 2011 Jan;17(1):30-3. doi: 10.1016/j.parkreldis.2010.10.006. Epub 2010 Nov 10. Parkinsonism Relat Disord. 2011. PMID: 21071257
-
Quantification of tremor using consumer product accelerometry is feasible in patients with essential tremor and Parkinson's disease: a comparative study.J Clin Mov Disord. 2020 Apr 7;7:4. doi: 10.1186/s40734-020-00086-7. eCollection 2020. J Clin Mov Disord. 2020. PMID: 32280482 Free PMC article.
-
Mobile Applications for Resting Tremor Assessment in Parkinson's Disease: A Systematic Review.J Clin Med. 2023 Mar 16;12(6):2334. doi: 10.3390/jcm12062334. J Clin Med. 2023. PMID: 36983334 Free PMC article. Review.
-
Tremor: how to determine if the patient has Parkinson's disease.Geriatrics. 1998 May;53(5):30-6. Geriatrics. 1998. PMID: 9597978 Review.
Cited by
-
Simple biomarkers to distinguish Parkinson's disease from its mimics in clinical practice: a comprehensive review and future directions.Front Neurol. 2024 Sep 19;15:1460576. doi: 10.3389/fneur.2024.1460576. eCollection 2024. Front Neurol. 2024. PMID: 39364423 Free PMC article. Review.
-
Essential tremor plus rest tremor: current concepts and controversies.J Neural Transm (Vienna). 2022 Jul;129(7):835-846. doi: 10.1007/s00702-022-02516-2. Epub 2022 Jun 7. J Neural Transm (Vienna). 2022. PMID: 35672518 Free PMC article. Review.
-
Diagnosis and Treatment of Tremor in Parkinson's Disease Using Mechanical Devices.Life (Basel). 2022 Dec 27;13(1):78. doi: 10.3390/life13010078. Life (Basel). 2022. PMID: 36676025 Free PMC article. Review.
-
Methods for the metrological characterization of wearable devices for the measurement of physiological signals: state of the art and future challenges.MethodsX. 2023 Jan 23;10:102038. doi: 10.1016/j.mex.2023.102038. eCollection 2023. MethodsX. 2023. PMID: 36755939 Free PMC article.
-
Strain Gauge Measuring System for Subsensory Micromotions Analysis as an Element of a Hybrid Human-Machine Interface.Sensors (Basel). 2022 Nov 25;22(23):9146. doi: 10.3390/s22239146. Sensors (Basel). 2022. PMID: 36501849 Free PMC article.
References
-
- Bhatia K.P., Bain P., Bajaj N., Elble R.J., Hallett M., Louis E.D., Raethjen J., Stamelou M., Testa C.M., Deuschl G., et al. Consensus Statement on the classification of tremors. from the task force on tremor of the International Parkinson and Movement Disorder Society. Mov. Disord. 2018;33:75–87. doi: 10.1002/mds.27121. - DOI - PMC - PubMed
-
- Ghassemi N.H., Marxreiter F., Pasluosta C.F., Kugler P., Schlachetzki J., Schramm A., Eskofier B.M., Klucken J. Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson’s disease; Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Orlando, FL, USA. 16–20 August 2016; pp. 672–675. - PubMed
-
- Nistico R., Pirritano D., Salsone M., Novellino F., Del Giudice F., Morelli M., Trotta M., Bilotti G., Condino F., Cherubini A., et al. Synchronous pattern distinguishes resting tremor associated with essential tremor from rest tremor of Parkinson’s disease. Parkinsonism Relat. Disord. 2011;17:30–33. doi: 10.1016/j.parkreldis.2010.10.006. - DOI - PubMed
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous