An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors
AbstractWearable sensors and advanced algorithms can provide significant decision support for clinical practice. Currently, the motor symptoms of patients with neurological disorders are often visually observed and evaluated, which may result in rough and subjective quantification. Using small inertial wearable sensors, fine repetitive and clinically important movements can be captured and objectively evaluated. In this paper, a new methodology is designed for objective evaluation and automatic scoring of bradykinesia in repetitive finger-tapping movements for patients with idiopathic Parkinson’s disease and atypical parkinsonism. The methodology comprises several simple and repeatable signal-processing techniques that are applied for the extraction of important movement features. The decision support system consists of simple rules designed to match universally defined criteria that are evaluated in clinical practice. The accuracy of the system is calculated based on the reference scores provided by two neurologists. The proposed expert system achieved an accuracy of 88.16% for files on which neurologists agreed with their scores. The introduced system is simple, repeatable, easy to implement, and can provide good assistance in clinical practice, providing a detailed analysis of finger-tapping performance and decision support for symptom evaluation. View Full-Text
Share & Cite This Article
Bobić, V.; Djurić-Jovičić, M.; Dragašević, N.; Popović, M.B.; Kostić, V.S.; Kvaščev, G. An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors. Sensors 2019, 19, 2644.
Bobić V, Djurić-Jovičić M, Dragašević N, Popović MB, Kostić VS, Kvaščev G. An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors. Sensors. 2019; 19(11):2644.Chicago/Turabian Style
Bobić, Vladislava; Djurić-Jovičić, Milica; Dragašević, Nataša; Popović, Mirjana B.; Kostić, Vladimir S.; Kvaščev, Goran. 2019. "An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors." Sensors 19, no. 11: 2644.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.