A Non-Invasive Medical Device for Parkinson's Patients with Episodes of Freezing of Gait.
Accelerometry
/ methods
Aged
Aged, 80 and over
Algorithms
Equipment and Supplies
Female
Gait
/ physiology
Gait Disorders, Neurologic
/ physiopathology
Humans
Lower Extremity
/ physiopathology
Male
Middle Aged
Monitoring, Physiologic
/ instrumentation
Parkinson Disease
/ physiopathology
Physical Functional Performance
Sensitivity and Specificity
Wavelet Analysis
Parkinson’s disease
clinical assessment
discrete wavelet transform
freezing of gait
neurodegenerative disorders
sensors
vibratory stimulus
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
12 Feb 2019
12 Feb 2019
Historique:
received:
31
05
2018
revised:
01
09
2018
accepted:
04
09
2018
entrez:
15
2
2019
pubmed:
15
2
2019
medline:
26
2
2019
Statut:
epublish
Résumé
A critical symptom of Parkinson's disease (PD) is the occurrence of Freezing of Gait (FOG), an episodic disorder that causes frequent falls and consequential injuries in PD patients. There are various auditory, visual, tactile, and other types of stimulation interventions that can be used to induce PD patients to escape FOG episodes. In this article, we describe a low cost wearable system for non-invasive gait monitoring and external delivery of superficial vibratory stimulation to the lower extremities triggered by FOG episodes. The intended purpose is to reduce the duration of the FOG episode, thus allowing prompt resumption of gait to prevent major injuries. The system, based on an Android mobile application, uses a tri-axial accelerometer device for gait data acquisition. Gathered data is processed via a discrete wavelet transform-based algorithm that precisely detects FOG episodes in real time. Detection activates external vibratory stimulation of the legs to reduce FOG time. The integration of detection and stimulation in one low cost device is the chief novel contribution of this work. We present analyses of sensitivity, specificity and effectiveness of the proposed system to validate its usefulness.
Identifiants
pubmed: 30759789
pii: s19030737
doi: 10.3390/s19030737
pmc: PMC6387047
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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