Ambulatory Monitoring of Activities and Motor Symptoms in Parkinson's Disease

Daphne G.M. Zwartjes (Editor), Tjitske Heida, Jeroen P.P. van Vugt, Jan A.G. Geelen, Peter H. Veltink

    Research output: Contribution to journalArticleAcademicpeer-review

    78 Citations (Scopus)
    13 Downloads (Pure)

    Abstract

    Ambulatory monitoring of motor symptoms in Parkinson’s disease (PD) can improve our therapeutic strategies, especially in patients with motor fluctuations. Previously published monitors usually assess only one or a few basic aspects of the cardinal motor symptoms in a laboratory setting. We developed a novel ambulatory monitoring system that provides a complete motor assessment by simultaneously analyzing currentmotor activity of the patient (e.g., sitting, walking, etc.) and the severity of many aspects related to tremor, bradykinesia, and hypokinesia. The monitor consists of a set of four inertial sensors. Validity of our monitor was established in seven healthy controls and six PD patients treated with deep brain stimulation (DBS) of the subthalamic nucleus. The patients were tested at three different levels of DBS treatment. Subjects were monitored while performing different tasks, including motor tests of the Unified PD Rating Scale (UPDRS). Output of the monitor was compared to simultaneously recorded videos. The monitor proved very accurate in discriminating between several motor activities. Monitor output correlated well with blinded UPDRS ratings during different DBS levels. The combined analysis of motor activity and symptom severity by our PD monitor brings true ambulatory monitoring of a wide variety of motor symptoms one step closer.
    Original languageEnglish
    Pages (from-to)2778-2786
    Number of pages9
    JournalIEEE transactions on biomedical engineering
    Volume57
    Issue number11
    DOIs
    Publication statusPublished - Nov 2010

    Keywords

    • BSS-Electrical Neurostimulation
    • Parkinson’s disease (PD)
    • Bradykinesia
    • Ambulatory monitoring
    • Activity classification
    • Tremor

    Fingerprint Dive into the research topics of 'Ambulatory Monitoring of Activities and Motor Symptoms in Parkinson's Disease'. Together they form a unique fingerprint.

    Cite this