[BIC-announce] Seminar in Biomedical Engineering - Wednesday March 12th - 1h pm - Room 333

[Christophe Grova]

Dear all,

We will have our next  Biomedical Engineering seminar today

Wednesday  – March 12th,  at 1 pm

Location: Room  333 Lyman Duff Building (Biomedical Engineering Dpt, 3775  University Street).

Speaker:  Abhishek Vadnerkar, Master student under the supervision of Dr R. Kearney PhD, BME, McGill University

Since Abhishek is a Master student registered to the course BMDE500 who is giving this seminar as part of McGill conditions to obtain his M.Sc., special attendance from our department (staff and students) is really expected, in order to give Abhishek feedback on his research studies.

Title:
"Biofeedback Device to Improve Heel-to-Toe Gait in Seniors and Persons with Disabilities"


Abstract:
The goal of the Heel2Toe project is to develop a wearable wireless device capable of distinguishing between a normal gait cycle (characterised by a heel to toe transition upon contact of the foot with the ground) and an abnormal gait cycle (specifically a gait cycle which lacks a distinct heel strike). Loss of heel-to-toe gait is a feature of neurological disorders as well as ageing and results in a shortened stride length, slowing of gait speed, and increased risk of falling. The device to be developed, which will be attached to the shoe, is being designed for use clinically by physiotherapists as well as by elderly persons in a non-clinical environment who need to ensure an optimal gait pattern in order to reap the health benefits of walking.

The Shimmer wireless motion kit (3 axis accelerometer plus 3 axis gyroscope) is being used for development. The device will communicate wirelessly with an android device to provide feedback to the user.

In this seminar we present the work completed on the Heel2Toe project to date. Initial experiments have been conducted on people with normal and abnormal gait an the data gathered from this has been used to develop an algorithm. This algorithm takes data obtained from the Shimmer device and produces a good/bad classification for each gait cycle.  This has been incorporated into a MATLAB application for real time use. The results of the validation experiments are also presented here.


A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars

See you there


Christophe Grova

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Christophe Grova, PhD
Assistant Professor
Biomedical Engineering Dpt
Neurology and Neurosurgery Dpt

Multimodal Functional Imaging Lab (Multi FunkIm)
Montreal Neurological Institute
Centre de Recherches en Mathématiques

Biomedical Engineering Department - Room 304
McGill University
3775 University Street, Montreal, Quebec, Canada,
H3A 2B4
email : christophe.grova at mcgill.ca<mailto:christophe.grova at mcgill.ca>
tel : (514) 398 2516
fax : (514) 398 7461

Web:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/PeopleChristophe
http://www.bmed.mcgill.ca/
MultiFunkIm Lab:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/HomePage

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