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Peng Y, Ma C, Li M, Liu Y, Yu J, Pan L, Zhang Z. Intelligent devices for assessing essential tremor: a comprehensive review. J Neurol 2024:10.1007/s00415-024-12354-9. [PMID: 38816480 DOI: 10.1007/s00415-024-12354-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 06/01/2024]
Abstract
Essential tremor (ET) stands as the most prevalent movement disorder, characterized by rhythmic and involuntary shaking of body parts. Achieving an accurate and comprehensive assessment of tremor severity is crucial for effectively diagnosing and managing ET. Traditional methods rely on clinical observation and rating scales, which may introduce subjective biases and hinder continuous evaluation of disease progression. Recent research has explored new approaches to quantifying ET. A promising method involves the use of intelligent devices to facilitate objective and quantitative measurements. These devices include inertial measurement units, electromyography, video equipment, and electronic handwriting boards, and more. Their deployment enables real-time monitoring of human activity data, featuring portability and efficiency. This capability allows for more extensive research in this field and supports the shift from in-lab/clinic to in-home monitoring of ET symptoms. Therefore, this review provides an in-depth analysis of the application, current development, potential characteristics, and roles of intelligent devices in assessing ET.
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Affiliation(s)
- Yumeng Peng
- Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, PLA General Hospital, Beijing, 100853, China
- Department of Neurology, 923th Hospital of the Joint Logistics Support Force of PLA, Nanning, 530021, China
- Chinese PLA Medical School, Beijing, 100853, China
| | - Chenbin Ma
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Mengwei Li
- Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, PLA General Hospital, Beijing, 100853, China
- Chinese PLA Medical School, Beijing, 100853, China
| | - Yunmo Liu
- Chinese PLA Medical School, Beijing, 100853, China
| | - Jinze Yu
- School of Computer Science and Engineering, Beihang University, Beijing, 100191, China
| | - Longsheng Pan
- Department of Neurosurgery, First Medical Center, PLA General Hospital, Beijing, 100853, China.
| | - Zhengbo Zhang
- Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, PLA General Hospital, Beijing, 100853, China.
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Jombík P, Spodniak P, Bahýľ V, Necpál J. Visualisation of Parkinsonian, essential and physiological tremor planes in 3Dspace. Physiol Res 2021; 69:331-337. [PMID: 32199005 DOI: 10.33549/physiolres.934066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Based on the fact that tremors display some distinct 3D spatial characteristics, we decided to visualise tremor planes in 3D space. We obtained 3-axial linear accelerometer signals of hand tremors from 58 patients with Parkinson´s disease (PD), 37 with isolated resting tremor (iRT), 75 with essential tremor (ET), and 44 healthy volunteers with physiological tremor (Ph). For each group analysis was done with subsequent spatial 3D regression of the input data i.e. along the x, y and z axes; the projected vector lengths in the individual (vertical transversal XY, vertical longitudinal XZ and horizontal YZ) reference frame planes and their angles. Most meaningful and statistically significant differences were found in the analyses of the 3D vector lengths. The tremor of the PD and the iRT group was oriented mainly in the horizontal YZ plane. The tremors of the patients with ET and Ph were oriented approximately in the midway between the all three referential planes with less tilt toward the vertical longitudinal XZ plane.
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Affiliation(s)
- P Jombík
- Department of Neurology, Laboratory of Clinical Neurophysiology, Zvolen Hospital, Zvolen, Slovak Republic.
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Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity. J Med Syst 2017; 42:29. [DOI: 10.1007/s10916-017-0877-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 12/13/2017] [Indexed: 10/18/2022]
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Oung QW, Muthusamy H, Lee HL, Basah SN, Yaacob S, Sarillee M, Lee CH. Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review. SENSORS 2015; 15:21710-45. [PMID: 26404288 PMCID: PMC4610449 DOI: 10.3390/s150921710] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Revised: 07/27/2015] [Accepted: 08/11/2015] [Indexed: 11/25/2022]
Abstract
Parkinson’s Disease (PD) is characterized as the commonest neurodegenerative illness that gradually degenerates the central nervous system. The goal of this review is to come out with a summary of the recent progress of numerous forms of sensors and systems that are related to diagnosis of PD in the past decades. The paper reviews the substantial researches on the application of technological tools (objective techniques) in the PD field applying different types of sensors proposed by previous researchers. In addition, this also includes the use of clinical tools (subjective techniques) for PD assessments, for instance, patient self-reports, patient diaries and the international gold standard reference scale, Unified Parkinson Disease Rating Scale (UPDRS). Comparative studies and critical descriptions of these approaches have been highlighted in this paper, giving an insight on the current state of the art. It is followed by explaining the merits of the multiple sensor fusion platform compared to single sensor platform for better monitoring progression of PD, and ends with thoughts about the future direction towards the need of multimodal sensor integration platform for the assessment of PD.
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Affiliation(s)
- Qi Wei Oung
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
| | - Hariharan Muthusamy
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
| | - Hoi Leong Lee
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
| | - Shafriza Nisha Basah
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
| | - Sazali Yaacob
- Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-TechPark, 09000 Kulim, Kedah, Malaysia.
| | - Mohamed Sarillee
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
| | - Chia Hau Lee
- School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Campus Pauh Putra, 02600 Arau, Perlis, Malaysia.
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Rana AQ, Böke BN, Qureshi ARM, Rana MA, Rahman M. Prevalence of essential tremor in an idiopathic Parkinson's disease patient population. Int J Neurosci 2014; 125:253-5. [PMID: 24894049 DOI: 10.3109/00207454.2014.929128] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Essential tremor (ET) and Parkinson's disease (PD) tremor differ in type, frequency and distribution. Despite being two separate disorders, there have been cases reported of comorbidity for ET-PD. Studies have reported an increase in the incidence of ET in relatives of patients with PD, yet the risk of developing PD in ET patients has not been thoroughly investigated. Our study set out to determine the incidence of precedent ET in PD patients. We conducted a retrospective chart review analysis of 332 idiopathic PD patients to determine how many of them had ET prior to the diagnosis of PD and the percentage of them who were also diagnosed with ET. Our results indicate that the prevalence of precedent ET among a population of idiopathic PD patients was not any higher than the prevalence of ET in a comparable general population. Our results support the notion that ET and PD are mutually independent disorders. Further studies are needed to understand the exact relationship between these two disorders.
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Affiliation(s)
- Abdul Qayyum Rana
- 1Parkinson's Clinic of Eastern Toronto & Movement Disorders Centre, Parkinson's Disease and Movement Disorder Centre, Toronto, ON, Canada
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