Project 81: Effects of Freeze of Gait Prediction with Laser Cue Intervention on Patients with Parkinson’s Disease

Contact Information:

Prof. Dongyun Gu

Project Description and Objectives:

Freezing of gait (FoG) is one of the most common disabling symptoms among patients with Parkinson’s disease (PD). A possible way to prevent FoG is by providing pre-emptive cueing when FoG is predicted. We have developed a machine learning algorithm to predict the FoG event with impaired gait acceleration patterns and personalized labeling. This project aims at investigating the effects of the FoG prediction with a laser cue on PD patients for future clinical translation. A portable device through the detection of FoG and intervention with lasers will be developed.

Eligibility Requirements:

The students should have an interest in sports biomechanics and portable devices to solve biomedical problems. The prerequisites being engineering training, e.g. motion analysis, and/or electronic engineering are desirable.

Main Tasks:

Students are required to cooperate with graduate students, engineers, and clinicians under the supervision of their mentor(s) to work on the above projects. The students need to attend regular lab meetings and make weekly reports to their mentor(s). By the end of the internship a project report should be submitted.

Website:

Lab: http://dm.sjtu.edu.cn/En_Default.aspx

School: http://bme.sjtu.edu.cn/en/