Next Article in Journal
Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii
Previous Article in Journal
Immunohistochemical Biomarkers as a Surrogate of Molecular Analysis in Ovarian Carcinomas: A Review of the Literature
Open AccessCommunication

Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor

1
Biotecnomed S.C.aR.L., 88100 Catanzaro, Italy
2
Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), 88100 Catanzaro, Italy
3
Institute of Neurology, Magna Græcia University, 88100 Catanzaro, Italy
4
Neuroscience Research Center, Magna Græcia University, 88100 Catanzaro, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally.
Academic Editor: Giorgio Fassina
Diagnostics 2021, 11(2), 200; https://doi.org/10.3390/diagnostics11020200
Received: 17 December 2020 / Revised: 13 January 2021 / Accepted: 25 January 2021 / Published: 29 January 2021
(This article belongs to the Section Point-of-Care Diagnostics and Devices)
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. View Full-Text
Keywords: electromyography; rest tremor; Parkinson’s disease; wearable device; phase pattern electromyography; rest tremor; Parkinson’s disease; wearable device; phase pattern
Show Figures

Graphical abstract

MDPI and ACS Style

Vescio, B.; Nisticò, R.; Augimeri, A.; Quattrone, A.; Crasà, M.; Quattrone, A. Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor. Diagnostics 2021, 11, 200. https://doi.org/10.3390/diagnostics11020200

AMA Style

Vescio B, Nisticò R, Augimeri A, Quattrone A, Crasà M, Quattrone A. Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor. Diagnostics. 2021; 11(2):200. https://doi.org/10.3390/diagnostics11020200

Chicago/Turabian Style

Vescio, Basilio; Nisticò, Rita; Augimeri, Antonio; Quattrone, Andrea; Crasà, Marianna; Quattrone, Aldo. 2021. "Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson’s Disease and Essential Tremor" Diagnostics 11, no. 2: 200. https://doi.org/10.3390/diagnostics11020200

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop