title: Toward automated, at-home assessment of mobility among patients with Parkinson disease, using a body-worn accelerometer.
abstract: OBJECTIVE
  To develop an automated and objective method to assess mobility in Parkinson disease (PD) patients in daily-life settings and to investigate whether accelerometer-derived measures discriminate between PD and healthy controls as they walk and simulate activities of daily living (ADL).
  
  
  METHODS
  Healthy older adults (17) and patients with PD (22) wore a triaxial accelerometer on their lower back during short walks (validation study) and during a walk around the medical center to simulate daily activities (ADL simulation). The variability (consistency and rhythmicity) of stepping was assessed. The patients completed the walks before and after taking their anti-Parkinsonian medications. Frequency-based acceleration measures included dominant frequency, amplitude (strength of signal frequency), width (frequency dispersion), and slope (a combination reflecting amplitude and width) of the main frequency of the power spectral density in the 0.5- to 3.0-Hz band. A subset of the Unified Parkinson-Disease Rating Scale provided a clinical measure of gait impairment (UPDRS-Gait5). A PD patient and control wore the sensors for 3 days at home.
  
  
  RESULTS
  The width was larger, and the amplitude and slope were smaller in the PD patients compared to the controls in the validation study and ADL simulation (P < .02). The width decreased, and the amplitude and slope increased when patients took anti-Parkinsonian medications (P < .007). Significant correlations were observed between acceleration-derived measures and UPDRS-Gait5. The data obtained at home was similar to the clinic data.
  
  
  CONCLUSIONS
  Frequency-derived measures are valid and sensitive estimates of stride-to-stride variability that can be used to assess the quality and consistency of walking in patients with PD in real-life settings.
authors: Laboratory for Gait & Neurodynamics, Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
authors: Aner
authors: A
authors: Weiss
authors: Sarvi
authors: S
authors: Sharifi
authors: Meir
authors: M
authors: Plotnik
authors: Jeroen P P
authors: JP
authors: van Vugt
authors: Nir
authors: N
authors: Giladi
authors: Jeffrey M
authors: JM
authors: Hausdorff
mesh_terms: D000368:Aged; D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods; D005260:Female; D020233:Gait Disorders, Neurologic / Q000175:diagnosis* / Q000188:drug therapy / Q000534:rehabilitation; D006801:Humans; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods / Q000639:trends; D010300:Parkinson Disease / Q000175:diagnosis* / Q000188:drug therapy / Q000534:rehabilitation; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods; D013686:Telemetry / Q000295:instrumentation / Q000379:methods; D059015:Wireless Technology / Q000295:instrumentation*