Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker
Gait abnormalities are one of the distinguishing symptoms of patients with Parkinson’s disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assi...
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| Format: | Article |
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MDPI AG
2018-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/10/3549 |
| _version_ | 1828152843031281664 |
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| author | Minhua Zhang N. Sertac Artan Huanying Gu Ziqian Dong Lyudmila Burina Ganatra Suzanna Shermon Ely Rabin |
| author_facet | Minhua Zhang N. Sertac Artan Huanying Gu Ziqian Dong Lyudmila Burina Ganatra Suzanna Shermon Ely Rabin |
| author_sort | Minhua Zhang |
| collection | DOAJ |
| description | Gait abnormalities are one of the distinguishing symptoms of patients with Parkinson’s disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assistance, (2) pushing a conventional rolling walker, and (3) holding onto a self-navigating motorized walker under different speed cues. Six people with PD were recruited at the New York Institute of Technology College of Osteopathic Medicine to participate in this study. Spatial posture and gait data of the test subjects were collected via a VICON motion capture system. We developed a framework to process and extract gait features and applied statistical analysis on these features to examine the significance of the findings. The results showed that the motorized walker providing a robust haptic cue significantly improved gait symmetry of PD subjects. Specifically, the asymmetry index of the gait cycle time was reduced from 6.7% when walking without assistance to 0.56% and below when using a walker. Furthermore, the double support time of a gait cycle was reduced by 4.88% compared to walking without assistance. |
| first_indexed | 2024-04-11T22:17:01Z |
| format | Article |
| id | doaj.art-2df6e019f5fe4012930d5c561dc90906 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:17:01Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2df6e019f5fe4012930d5c561dc909062022-12-22T04:00:21ZengMDPI AGSensors1424-82202018-10-011810354910.3390/s18103549s18103549Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized WalkerMinhua Zhang0N. Sertac Artan1Huanying Gu2Ziqian Dong3Lyudmila Burina Ganatra4Suzanna Shermon5Ely Rabin6College of Engineering and Computing Sciences, New York Institute of Technology, New York, NY 10023, USACollege of Engineering and Computing Sciences, New York Institute of Technology, New York, NY 10023, USACollege of Engineering and Computing Sciences, New York Institute of Technology, New York, NY 10023, USACollege of Engineering and Computing Sciences, New York Institute of Technology, New York, NY 10023, USACollege of Osteopathic Medicine, New York Institute of Technology, 101 Northern Blvd, Glen Head, NY 11545, USACollege of Osteopathic Medicine, New York Institute of Technology, 101 Northern Blvd, Glen Head, NY 11545, USACollege of Osteopathic Medicine, New York Institute of Technology, 101 Northern Blvd, Glen Head, NY 11545, USAGait abnormalities are one of the distinguishing symptoms of patients with Parkinson’s disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assistance, (2) pushing a conventional rolling walker, and (3) holding onto a self-navigating motorized walker under different speed cues. Six people with PD were recruited at the New York Institute of Technology College of Osteopathic Medicine to participate in this study. Spatial posture and gait data of the test subjects were collected via a VICON motion capture system. We developed a framework to process and extract gait features and applied statistical analysis on these features to examine the significance of the findings. The results showed that the motorized walker providing a robust haptic cue significantly improved gait symmetry of PD subjects. Specifically, the asymmetry index of the gait cycle time was reduced from 6.7% when walking without assistance to 0.56% and below when using a walker. Furthermore, the double support time of a gait cycle was reduced by 4.88% compared to walking without assistance.http://www.mdpi.com/1424-8220/18/10/3549Parkinson’s Diseasesmotorized walkerhaptic cuegait patternstatistics study |
| spellingShingle | Minhua Zhang N. Sertac Artan Huanying Gu Ziqian Dong Lyudmila Burina Ganatra Suzanna Shermon Ely Rabin Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker Sensors Parkinson’s Diseases motorized walker haptic cue gait pattern statistics study |
| title | Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker |
| title_full | Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker |
| title_fullStr | Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker |
| title_full_unstemmed | Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker |
| title_short | Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker |
| title_sort | gait study of parkinson s disease subjects using haptic cues with a motorized walker |
| topic | Parkinson’s Diseases motorized walker haptic cue gait pattern statistics study |
| url | http://www.mdpi.com/1424-8220/18/10/3549 |
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