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Smart Gait-Aid Glasses for Parkinson’s Disease Patients

Title
Smart Gait-Aid Glasses for Parkinson’s Disease Patients
Author
박태준
Keywords
Wearable gait-aid glasses; wearable computing; Parkinson's disease; inertial sensors; augmented reality; RHYTHMIC AUDITORY-STIMULATION; DEEP-BRAIN-STIMULATION; LEVODOPA; TRIAL; PEOPLE; CUES
Issue Date
2017-10
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v. 64, No. 10, Page. 2394-2402
Abstract
Parkinson's disease (PD) is a chronic progressive disease caused by loss of dopaminergic neurons in the substantia nigra, degenerating the nervous system of a patient over time. Freezing of gait (FOG), which is a form of akinesia, is a symptom of PD. Meanwhile, recent studies show that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or auditory patterns for the patients. In this paper, we propose a gait-aid system built upon smart glasses. Our system continuously monitors the gait and so on of a PD patient to detect FOG, and upon detection of FOG it projects visual patterns on the glasses as if the patterns were actually on the floor. Conducting experiments involving ten PD patients, we demonstrate that our system achieves the accuracy of 92.86% in detecting FOG episodes and that it improves the gait speed and stride length of PD patients by 15.3 similar to 37.2% and 18.7 similar to 31.7%, respectively.
URI
https://ieeexplore.ieee.org/abstract/document/7827083/https://repository.hanyang.ac.kr/handle/20.500.11754/72512
ISSN
1558-2531; 0018-9294
DOI
10.1109/TBME.2017.2655344
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
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