Inlämning av Examensarbete / Submission of Thesis

Aylar Seyrafi MEE09:71, pp. 70. ING/School of Engineering, 2009.

The work

Författare / Author: Aylar Seyrafi
ayse07@student.bth.se, a-seyrafi@hotmail.com
Titel / Title: Developing Real Time Automatic Step Detection in the three dimensional Accelerometer Signal implemented on a Microcontroller System
Abstrakt Abstract:

Parkinson’s disease is associated with reduced coordination between respiration and locomotion. For the neurological rehabilitation research, it requires a long-time monitoring system, which enables the online analysis of the patient’s vegetative locomotor coordination. In this work a real time step detector using three-dimensional accelerometer signal for the patients with Parkinson‘s disease is developed. This step detector is a complement for a recently developed system included of intelligent, wirelessly communicating sensors. The system helps to focus on the scientific questions whether this coordination may serve as a measure for the rehabilitation progress of PD patients.

Ämnesord / Subject: Signalbehandling - Signal Processing
Telekommunikation - Telecommunications
Mathematics\Analysis
Nyckelord / Keywords: Real time, Signal processing, Algorithm development, Step detector, Body Sensor Network, Biomedical science, Parkinson disase, MATLAB

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 01/27/2010
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Dr. Michael Schiek - Mikael Swartling
m.schiek@fz-juelich.de , mikael.swartling@bth.se
Examinator / Examiner: Dr. Jörgen Nordberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00
I samarbete med / In co-operation with: Forschungszentrum Jülich GmbH (Research Centre Jülich)
Anmärkningar / Comments:

+46-762453110
+46-462886970

Files & Access

Bifogad uppsats fil(er) / Files attached: aylar-master-thesis.doc (8020 kB, öppnas i nytt fönster)