A multiple motion sensors index for motor state quantification in Parkinson's disease
Artikel i vetenskaplig tidskrift, 2020

Aim: To construct a Treatment Response Index from Multiple Sensors (TRIMS) for quantification of motor state in patients with Parkinson's disease (PD) during a single levodopa dose. Another aim was to compare TRIMS to sensor indexes derived from individual motor tasks. Method: Nineteen PD patients performed three motor tests including leg agility, pronation-supination movement of hands, and walking in a clinic while wearing inertial measurement unit sensors on their wrists and ankles. They performed the tests repeatedly before and after taking 150% of their individual oral levodopa-carbidopa equivalent morning dose.Three neurologists blinded to treatment status, viewed patients’ videos and rated their motor symptoms, dyskinesia, overall motor state based on selected items of Unified PD Rating Scale (UPDRS) part III, Dyskinesia scale, and Treatment Response Scale (TRS). To build TRIMS, out of initially 178 extracted features from upper- and lower-limbs data, 39 features were selected by stepwise regression method and were used as input to support vector machines to be mapped to mean reference TRS scores using 10-fold cross-validation method. Test-retest reliability, responsiveness to medication, and correlation to TRS as well as other UPDRS items were evaluated for TRIMS. Results: The correlation of TRIMS with TRS was 0.93. TRIMS had good test-retest reliability (ICC = 0.83). Responsiveness of the TRIMS to medication was good compared to TRS indicating its power in capturing the treatment effects. TRIMS was highly correlated to dyskinesia (R = 0.85), bradykinesia (R = 0.84) and gait (R = 0.79) UPDRS items. Correlation of sensor index from the upper-limb to TRS was 0.89. Conclusion: Using the fusion of upper- and lower-limbs sensor data to construct TRIMS provided accurate PD motor states estimation and responsive to treatment. In addition, quantification of upper-limb sensor data during walking test provided strong results.

Författare

Somayeh Aghanavesi

Högskolan i Dalarna

Jerker Westin

Högskolan i Dalarna

Filip Bergquist

Göteborgs universitet

Dag Nyholm

Uppsala universitet

Håkan Askmark

Uppsala universitet

Sten Magnus Aquilonius

Uppsala universitet

Radu Constantinescu

Göteborgs universitet

Alexander Medvedev

Uppsala universitet

Jack Spira

Sensidose AB

Fredrik Ohlsson

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Ilias Thomas

Högskolan i Dalarna

Anders Ericsson

Irisity AB

Dongni Johansson Buvarp

Göteborgs universitet

Mevludin Memedi

Örebro universitet

Computer Methods and Programs in Biomedicine

0169-2607 (ISSN)

Vol. 189 105309

Ämneskategorier

Neurologi

DOI

10.1016/j.cmpb.2019.105309

Mer information

Senast uppdaterat

2020-02-12