Continuous monitoring of turning in patients with movement disability

Mahmoud El-Gohary, Sean Pearson, James McNames, Martina Mancini, Fay Horak, Sabato Mellone, Lorenzo Chiari

Research output: Contribution to journalArticle

91 Citations (Scopus)

Abstract

Difficulty with turning is a major contributor to mobility disability and falls in people with movement disorders, such as Parkinson's disease (PD). Turning often results in freezing and/or falling in patients with PD. However, asking a patient to execute a turn in the clinic often does not reveal their impairments. Continuous monitoring of turning with wearable sensors during spontaneous daily activities may help clinicians and patients determine who is at risk of falls and could benefit from preventative interventions. In this study, we show that continuous monitoring of natural turning with wearable sensors during daily activities inside and outside the home is feasible for people with PD and elderly people. We developed an algorithm to detect and characterize turns during gait, using wearable inertial sensors. First, we validate the turning algorithm in the laboratory against a Motion Analysis system and against a video analysis of 21 PD patients and 19 control (CT) subjects wearing an inertial sensor on the pelvis. Compared to Motion Analysis and video, the algorithm maintained a sensitivity of 0.90 and 0.76 and a specificity of 0.75 and 0.65, respectively. Second, we apply the turning algorithm to data collected in the home from 12 PD and 18 CT subjects. The algorithm successfully detects turn characteristics, and the results show that, compared to controls, PD subjects tend to take shorter turns with smaller turn angles and more steps. Furthermore, PD subjects show more variability in all turn metrics throughout the day and the week.

Original languageEnglish (US)
Pages (from-to)356-369
Number of pages14
JournalSensors (Switzerland)
Volume14
Issue number1
DOIs
StatePublished - Dec 27 2013

Fingerprint

Parkinson disease
disabilities
Parkinson Disease
Monitoring
sensors
Accidental Falls
Disease control
gait
Sensors
Movement Disorders
pelvis
Pelvis
Gait
Freezing
impairment
systems analysis
falling
freezing
disorders
sensitivity

Keywords

  • Accelerometers
  • Continuous monitoring
  • Gyroscopes
  • Inertial sensors
  • Movement disability
  • Parkinson's disease
  • Turning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Continuous monitoring of turning in patients with movement disability. / El-Gohary, Mahmoud; Pearson, Sean; McNames, James; Mancini, Martina; Horak, Fay; Mellone, Sabato; Chiari, Lorenzo.

In: Sensors (Switzerland), Vol. 14, No. 1, 27.12.2013, p. 356-369.

Research output: Contribution to journalArticle

El-Gohary, M, Pearson, S, McNames, J, Mancini, M, Horak, F, Mellone, S & Chiari, L 2013, 'Continuous monitoring of turning in patients with movement disability', Sensors (Switzerland), vol. 14, no. 1, pp. 356-369. https://doi.org/10.3390/s140100356
El-Gohary, Mahmoud ; Pearson, Sean ; McNames, James ; Mancini, Martina ; Horak, Fay ; Mellone, Sabato ; Chiari, Lorenzo. / Continuous monitoring of turning in patients with movement disability. In: Sensors (Switzerland). 2013 ; Vol. 14, No. 1. pp. 356-369.
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