Detection of gait and postures using a miniaturized triaxial accelerometer-based system: accuracy in patients with mild to moderate Parkinson's disease
- PMID: 20684910
- DOI: 10.1016/j.apmr.2010.05.004
Detection of gait and postures using a miniaturized triaxial accelerometer-based system: accuracy in patients with mild to moderate Parkinson's disease
Abstract
Objective: To examine whether gait and postures can accurately be detected with a single small body-fixed device in patients with mild to moderate Parkinson's disease (PD).
Design: Results of a triaxial accelerometer-based method were evaluated against video observation scores (criterion measure). Study 1: Subjects performed basic mobility-related activities (walking, lying, sitting, standing) in a fixed and free sequence. Study 2: Subjects were monitored while doing similar activities as in study 1 and while doing usual domestic activities.
Setting: Study 1: Standardized set-up in a movement laboratory. Study 2: Home environment.
Participants: (N=37) Study 1: Patients with PD (n=32; mean age +/- SD, 67.3+/-6.6y; mean disease duration +/- SD, 6.1+/-3.4y). Study 2: Patients with PD (n=5; mean age +/- SD, 76.0+/-7.3y; mean disease duration +/- SD, 3.8+/-4.7y).
Interventions: Not applicable.
Main outcome measures: The degree of correspondence between the monitor and the video observation for the duration of each activity. Overall agreement, sensitivity, specificity, and positive predictive values were calculated.
Results: Study 1: Overall agreement ranged between 69.8% and 90.8% (fixed sequence) and 57.5% and 96.9% (free sequence). Study 2: Overall agreement ranged between 60.0% and 89.2%. Lying, sitting (home), and walking were detected most accurately with mean sensitivity varying from 81.7% to 99.9%. Lower values were found for sitting (laboratory), standing, and shuffling.
Conclusions: This triaxial monitor system is a practical and valuable tool for objective, continuous evaluation of walking and postures in patients with mild to moderate PD. Detection of sitting and standing requires further fine-tuning.
Similar articles
-
Validation of a body-worn accelerometer to measure activity patterns in octogenarians.Arch Phys Med Rehabil. 2014 May;95(5):930-4. doi: 10.1016/j.apmr.2014.01.013. Epub 2014 Jan 30. Arch Phys Med Rehabil. 2014. PMID: 24486241
-
The validity of the GaitRite and the Functional Ambulation Performance scoring system in the analysis of Parkinson gait.NeuroRehabilitation. 2002;17(3):255-62. NeuroRehabilitation. 2002. PMID: 12237507
-
Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.IEEE Trans Biomed Eng. 2003 Jun;50(6):711-23. doi: 10.1109/TBME.2003.812189. IEEE Trans Biomed Eng. 2003. PMID: 12814238
-
Detection of walking periods and number of steps in older adults and patients with Parkinson's disease: accuracy of a pedometer and an accelerometry-based method.Age Ageing. 2008 Jul;37(4):436-41. doi: 10.1093/ageing/afn097. Epub 2008 May 16. Age Ageing. 2008. PMID: 18487266 Clinical Trial.
-
Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation.Gait Posture. 2004 Oct;20(2):113-25. doi: 10.1016/j.gaitpost.2003.07.005. Gait Posture. 2004. PMID: 15336280
Cited by
-
Quantifying Habitual Physical Activity and Sedentariness in Older Adults-Different Outcomes of Two Simultaneously Body-Worn Motion Sensor Approaches and a Self-Estimation.Sensors (Basel). 2020 Mar 28;20(7):1877. doi: 10.3390/s20071877. Sensors (Basel). 2020. PMID: 32231041 Free PMC article.
-
Sit-stand and stand-sit transitions in older adults and patients with Parkinson's disease: event detection based on motion sensors versus force plates.J Neuroeng Rehabil. 2012 Oct 7;9:75. doi: 10.1186/1743-0003-9-75. J Neuroeng Rehabil. 2012. PMID: 23039219 Free PMC article.
-
Non-Contact Early Warning of Shaking Palsy.IEEE J Transl Eng Health Med. 2019 May 31;7:1800408. doi: 10.1109/JTEHM.2019.2919065. eCollection 2019. IEEE J Transl Eng Health Med. 2019. PMID: 31392103 Free PMC article.
-
Wearables in rugby union: A protocol for multimodal digital sports-related concussion assessment.PLoS One. 2021 Dec 22;16(12):e0261616. doi: 10.1371/journal.pone.0261616. eCollection 2021. PLoS One. 2021. PMID: 34936689 Free PMC article.
-
Accelerometer Cut Points for Physical Activity Assessment of Older Adults with Parkinson's Disease.PLoS One. 2015 Sep 2;10(9):e0135899. doi: 10.1371/journal.pone.0135899. eCollection 2015. PLoS One. 2015. PMID: 26332765 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical