Integrated robotics platform with haptic control differentiates subjects with Parkinson’s disease from controls and quantifies the motor effects of levodopa
作者： Pauline Gaprielian , Stephen H. Scott , Catherine Lowrey , Stuart Reid , Giovanna Pari
DOI: 10.1186/S12984-019-0598-5
关键词: Physical medicine and rehabilitation 、 Neurology 、 Medicine 、 Robotics 、 Laterality 、 Parkinson's disease 、 Levodopa 、 Receiver operating characteristic 、 Haptic control 、 Artificial intelligence 、 Rating scale
摘要: The use of integrated robotic technology to quantify the spectrum motor symptoms Parkinson’s Disease (PD) has potential facilitate objective assessment that is independent clinical ratings. purpose this study KINARM exoskeleton robot (1) differentiate subjects with PD from controls and (2) effects dopamine replacement therapies (DRTs). Twenty-six (Hoehn Yahr mean 2.2; disease duration 0.5 15 years) were evaluated OFF (after > 12 h their last dose) ON DRTs Unified Rating Scale (UPDRS) robot. Bilateral upper extremity bradykinesia, rigidity, postural stability quantified using a repetitive movement task hit moving targets, passive stretch task, torque unloading respectively. Performance was compared against healthy age-matched controls. Mean hand speed 41% slower 25% fewer targets in medication than Receiver operating characteristic (ROC) area for 0.94. required stop elbow during 34% lower versus resulted an ROC 0.91. showed maximum displacement 29% shorter had 0.71. Laterality indices end total correlated most affected side. Hand laterality index 0.80 DRT administration significant reduction cumulative score parameter Z-scores (a measure global performance controls) clinically effective levodopa doses. also UPDRS scores effect DRT. Robotic able objectively parkinsonian rigidity similar UPDRS. This testing platform aid clinicians management help assess novel therapies.
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