Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet
Essential tremor (ET) is diagnosed and monitored by movement disorder specialists based on clinical observations. While many ET cases are benign, some require pharmacological and surgical management, and there is a need for tools to assist clinicians in making informed decisions. This work aimed to...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9328093/ |
| _version_ | 1818918729715548160 |
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| author | Mohammod Abdul Motin James Peters Laura Perju-Dumbrava Catherine Ding Michael Eller Sanjay Raghav Sheik Mohammed Ali Peter Kempster PJ Radcliffe Dinesh Kant Kumar |
| author_facet | Mohammod Abdul Motin James Peters Laura Perju-Dumbrava Catherine Ding Michael Eller Sanjay Raghav Sheik Mohammed Ali Peter Kempster PJ Radcliffe Dinesh Kant Kumar |
| author_sort | Mohammod Abdul Motin |
| collection | DOAJ |
| description | Essential tremor (ET) is diagnosed and monitored by movement disorder specialists based on clinical observations. While many ET cases are benign, some require pharmacological and surgical management, and there is a need for tools to assist clinicians in making informed decisions. This work aimed to develop a computerized technique to detect the presence and severity of ET. A set of 6 writing and sketching tasks were performed by 39 subjects on a digital tablet. The position and pressure of contact during the sketching were recorded and analyzed to obtain the dynamics of drawing. ET patients were scored on the Fahn-Tolosa-Marin Tremor Rating Scale by blinded movement disorder neurologists, and then separated into two groups: moderate and severe ET. Drawing tasks were more effective than writing tasks in distinguishing the groups, with drawing horizontal and vertical lines being the most sensitive. A new set of composite index feature was found to be most suitable in separating the three groups, with a Spearman correlation coefficient of 0.72. The technique shows significant differences between controls, patients with moderate tremor and those with severe tremor, with an accuracy of 87.2%. Our computerized analysis significantly outperformed non-specialist clinicians in differentiating ET from control. We conclude that computerized analysis of the dynamics of sketching horizontal and vertical lines is a suitable method to assess the presence and severity of ET. |
| first_indexed | 2024-12-20T00:54:36Z |
| format | Article |
| id | doaj.art-aeaed2008ef4428a926ecc7c1f60f17a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:54:36Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aeaed2008ef4428a926ecc7c1f60f17a2022-12-21T19:59:08ZengIEEEIEEE Access2169-35362021-01-019154041541210.1109/ACCESS.2021.30521869328093Computerized Screening of Essential Tremor and Level of Severity Using Consumer TabletMohammod Abdul Motin0https://orcid.org/0000-0003-1618-3772James Peters1Laura Perju-Dumbrava2Catherine Ding3Michael Eller4Sanjay Raghav5Sheik Mohammed Ali6Peter Kempster7PJ Radcliffe8Dinesh Kant Kumar9Department of Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, VIC, AustraliaDepartment of Neurosciences, Monash Medical Centre, Melbourne, VIC, AustraliaDepartment of Neurosciences, Monash Medical Centre, Melbourne, VIC, AustraliaDepartment of Neurosciences, Monash Medical Centre, Melbourne, VIC, AustraliaDepartment of Neurosciences, Monash Medical Centre, Melbourne, VIC, AustraliaDepartment of Neurosciences, Monash Medical Centre, Melbourne, VIC, AustraliaDepartment of Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, VIC, AustraliaDepartment of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, AustraliaDepartment of Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, VIC, AustraliaDepartment of Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, VIC, AustraliaEssential tremor (ET) is diagnosed and monitored by movement disorder specialists based on clinical observations. While many ET cases are benign, some require pharmacological and surgical management, and there is a need for tools to assist clinicians in making informed decisions. This work aimed to develop a computerized technique to detect the presence and severity of ET. A set of 6 writing and sketching tasks were performed by 39 subjects on a digital tablet. The position and pressure of contact during the sketching were recorded and analyzed to obtain the dynamics of drawing. ET patients were scored on the Fahn-Tolosa-Marin Tremor Rating Scale by blinded movement disorder neurologists, and then separated into two groups: moderate and severe ET. Drawing tasks were more effective than writing tasks in distinguishing the groups, with drawing horizontal and vertical lines being the most sensitive. A new set of composite index feature was found to be most suitable in separating the three groups, with a Spearman correlation coefficient of 0.72. The technique shows significant differences between controls, patients with moderate tremor and those with severe tremor, with an accuracy of 87.2%. Our computerized analysis significantly outperformed non-specialist clinicians in differentiating ET from control. We conclude that computerized analysis of the dynamics of sketching horizontal and vertical lines is a suitable method to assess the presence and severity of ET.https://ieeexplore.ieee.org/document/9328093/Computerized diagnosisessential tremorfeature selectiontask selectionwriting and sketching task |
| spellingShingle | Mohammod Abdul Motin James Peters Laura Perju-Dumbrava Catherine Ding Michael Eller Sanjay Raghav Sheik Mohammed Ali Peter Kempster PJ Radcliffe Dinesh Kant Kumar Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet IEEE Access Computerized diagnosis essential tremor feature selection task selection writing and sketching task |
| title | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet |
| title_full | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet |
| title_fullStr | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet |
| title_full_unstemmed | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet |
| title_short | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet |
| title_sort | computerized screening of essential tremor and level of severity using consumer tablet |
| topic | Computerized diagnosis essential tremor feature selection task selection writing and sketching task |
| url | https://ieeexplore.ieee.org/document/9328093/ |
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