journal article·2021-04-05Open access

Quantitative Assessment Method of Force Tracking Capabilities for Detection of Motor Intentional Disorders

Kihyo Jung, Byung Hwa Lee, Sang Won Seo, Doo Sang Yoon, Baekhee Lee, Duk L. Na, Heecheon You

Applied Sciences· Volume 11· Issue 7

Abstract

Early detection of motor intentional disorders associated with dysfunction in the action–intention system of the brain is clinically important to provide timely intervention. This study developed a force tracking system that can record forces exerted by the index finger while tracking 5 N, 10 N, 15 N, and 20 N of target forces varying over time. The force tracking system quantified force control measures (initiation time IT; development time, DT, maintenance error, ME; termination time, TT; tracking error, TE) for the individual and overall force control phases. This study evaluated the effectiveness of the force tracking system for a normal control group (n = 12) and two patient groups diagnosed with subcortical vascular mild cognitive impairment (svMCI, n = 11) and subcortical vascular dementia (SVaD, n = 13). Patients with SVaD showed significantly worse force control capabilities in IT (0.84 s) and ME (1.71 N) than those with svMCI (0.64 s in IT, and 1.38 N in ME). Patients with svMCI had significantly worse capabilities in IT, ME, and TE (3.80 N) than the control group (0.49 s in IT, 0.78 N in ME, and 3.07 N in TE). The prevalence rates of force control capabilities lower than the 99% confidence interval of the control group ranged from 17% to 62% for the two patient groups. The force tracking system can sensitively quantify the severity of the force control deficiencies caused by dysfunction in the action–intention system of the brain.
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Research context

OpenAlex topics: Neurobiology of Language and Bilingualism · EEG and Brain-Computer Interfaces · Stroke Rehabilitation and Recovery

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Industrial Engineering, University of Ulsan, Ulsan 44610, Korea

Samsung Medical Center, Department of Neurology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea

Neuroscience Center, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea

Samsung Alzheimer Research Center, Samsung Medical Center, 81Irwon-ro, Gangnam-gu, Seoul 06351, Korea

Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 06351, Korea

Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea

Hyundai Motor Company, Seoul 100-011, Korea

Samsung Medical Center, Stem Cell & Regenerative Medicine Institute, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea

Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea

Funding

National Research Foundation of Korea · Ministry of Trade, Industry and Energy · Samsung Biomedical Research Institute grant

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