Abstract
Parkinson's disease (PD) is a chronic and degenerative disorder of body movement, affecting people between the ages of 50 and 60. Freezing of Gait (FOG) is a symptom of the advanced stage of PD, associated with gait disorders with prominent risk falls; these drops cause stress, pain and are the main cause of death by injury. In this research, was developed a hardware-based wireless system non-invasive for the acquisition of real-time data from PD patients presenting with FOG episodes to stimulate walking progression, prevent falls, and improve patients' lifestyles. This was achieved by placing a stimulator device near the posterior tibial nerve of the lower extremities. The patients' gait is automatically detected by a three-axis accelerometer coupled to an inertial measurement unit (IMU). To make the data is raised three typical scenarios of occurrence of FOG: walk in a straight line, turns of 180 degrees, up and down steps, the data will be read and stored in a processor and transmitted to the smartphone via Bluetooth. Detected the FOG, generates a signal that produces vibratory stimulation, helping to break the FOG or avoiding it. The features of the devices are: use of surface sensors, low cost, portable, easy use and lightweight, in addition, a smartphone is used for monitoring and processing. For the validation of the system was done analytically based on specificity, sensitivity and effectiveness.
Original language | English |
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Title of host publication | 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781538638941 |
DOIs | |
State | Published - 4 Jan 2018 |
Event | 2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador Duration: 16 Oct 2017 → 20 Oct 2017 |
Publication series
Name | 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017 |
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Volume | 2017-January |
Conference
Conference | 2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 |
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Country/Territory | Ecuador |
City | Salinas |
Period | 16/10/17 → 20/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- DWT
- FOG
- Parkinson's disease
- vibratory stimulus