Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/11/2/200 |
| _version_ | 1797405903875473408 |
|---|---|
| author | Basilio Vescio Rita Nisticò Antonio Augimeri Andrea Quattrone Marianna Crasà Aldo Quattrone |
| author_facet | Basilio Vescio Rita Nisticò Antonio Augimeri Andrea Quattrone Marianna Crasà Aldo Quattrone |
| author_sort | Basilio Vescio |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:16:59Z |
| format | Article |
| id | doaj.art-6cfb3295597447fdba336279c2f256e9 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T03:16:59Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-6cfb3295597447fdba336279c2f256e92023-12-03T15:17:59ZengMDPI AGDiagnostics2075-44182021-01-0111220010.3390/diagnostics11020200Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential TremorBasilio Vescio0Rita Nisticò1Antonio Augimeri2Andrea Quattrone3Marianna Crasà4Aldo Quattrone5Biotecnomed S.C.aR.L., 88100 Catanzaro, ItalyNeuroimaging Unit, Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), 88100 Catanzaro, ItalyBiotecnomed S.C.aR.L., 88100 Catanzaro, ItalyInstitute of Neurology, Magna Græcia University, 88100 Catanzaro, ItalyNeuroscience Research Center, Magna Græcia University, 88100 Catanzaro, ItalyNeuroimaging Unit, Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), 88100 Catanzaro, ItalyInvoluntary 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.https://www.mdpi.com/2075-4418/11/2/200electromyographyrest tremorParkinson’s diseasewearable devicephase pattern |
| spellingShingle | Basilio Vescio Rita Nisticò Antonio Augimeri Andrea Quattrone Marianna Crasà Aldo Quattrone Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor Diagnostics electromyography rest tremor Parkinson’s disease wearable device phase pattern |
| title | Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor |
| title_full | Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor |
| title_fullStr | Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor |
| title_full_unstemmed | Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor |
| title_short | Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor |
| title_sort | development and validation of a new wearable mobile device for the automated detection of resting tremor in parkinson s disease and essential tremor |
| topic | electromyography rest tremor Parkinson’s disease wearable device phase pattern |
| url | https://www.mdpi.com/2075-4418/11/2/200 |
| work_keys_str_mv | AT basiliovescio developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor AT ritanistico developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor AT antonioaugimeri developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor AT andreaquattrone developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor AT mariannacrasa developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor AT aldoquattrone developmentandvalidationofanewwearablemobiledevicefortheautomateddetectionofrestingtremorinparkinsonsdiseaseandessentialtremor |