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Related Concept Videos

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is to...
Parkinson Disease l: Introduction01:24

Parkinson Disease l: Introduction

Parkinson’s disease is a chronic, progressive neurodegenerative disorder that primarily affects movement. It is characterized by motor symptoms such as resting tremors, muscle rigidity, bradykinesia (slowness of movement), and postural instability. Patients may notice hand tremors at rest, stiffness during movement, or a shuffling gait. In addition to motor features, non-motor symptoms include sleep disturbances, mood and behavioral changes, constipation, and cognitive impairment, all of which...

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Related Experiment Video

Updated: Jun 4, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Feature selection for accelerometer-based posture analysis in Parkinson's disease.

Luca Palmerini1, Laura Rocchi, Sabato Mellone

  • 1Department of Electronics, Computer Science, and Systems, University of Bologna, Bologna 40136, Italy. luca.palmerini@unibo.it

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|February 26, 2011
PubMed
Summary
This summary is machine-generated.

Accelerometers can effectively analyze posture in early Parkinson's disease (PD) patients. This simple method using accelerometers can help identify unique postural behaviors and monitor disease progression.

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Last Updated: Jun 4, 2026

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Published on: July 24, 2019

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12:18

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09:37

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Published on: May 12, 2016

Area of Science:

  • Biomedical Engineering
  • Neurology
  • Clinical Biomechanics

Background:

  • Postural instability is a primary symptom of Parkinson's disease (PD).
  • Clinical evaluation of PD frequently involves analyzing posture during quiet standing.
  • Objective quantification of postural sway is crucial for early diagnosis and monitoring.

Purpose of the Study:

  • To evaluate the feasibility of using accelerometers for characterizing postural behavior in early, mild PD.
  • To identify key postural measures that differentiate PD subjects from controls.
  • To assess the potential of an accelerometer-based protocol for disease monitoring.

Main Methods:

  • Twenty early mild Parkinson's disease (PD) subjects and 20 controls wore a lower back accelerometer.
  • Subjects underwent testing under five sensory and attentional perturbation conditions.
  • 175 signal-derived measures quantified tremor, acceleration, and body sway displacement.
  • Feature selection using nested cross-validation identified discriminative measures.

Main Results:

  • Subsets of three features achieved low misclassification rates (as low as 5%).
  • Effective feature subsets often included tremor, frequency-domain postural, and displacement measures.
  • Quantitative analysis revealed distinctive postural behaviors in early PD subjects.

Conclusions:

  • A single accelerometer and a simple protocol can effectively characterize early Parkinson's disease (PD) subjects.
  • This quantitative posture analysis provides valuable information for PD assessment.
  • The protocol shows potential for monitoring Parkinson's disease progression over time.