We introduce: Team Gait Up
The second succesful team in our current challenge comes from Gait Up, a spin-off of the University Hospital of Lausanne (CHUV) and the Swiss Institute of Technology of Lausanne (EPFL), founded in 2013. During our Autumn school, Gait Up is represented in Erlangen by Farzin Dadashi, VP Software Engineer.
The Gait Up team, (Image: Karim Kanoun)
How did you learn about the challenge and what did you think you first heard about the challenge?
>> We heard from our colleagues in Erlangen about the challenge. We agree that “Seeing is believing”: there are many measurement gait systems available but only few provide intuitive gait visualization, absolutely necessary for the doctor for a full understanding of the gait impairment. So we thought was a great idea to challenge people to bring innovative tools!
How did you find your partners for working on a submission?
>> We submitted this project alone. Of course, we always take care of including the feedbacks from health care provider and researchers we work with.
What knowledge and experience did you bring to the challenge?
>> This was a complete team’s work: a combination of Farzin’s expertise in biomechanics data analysis to develop the software, combined with Karim’s mobile & embed for the integration of the smartphone application.
What was your best experience during the challenge?
>> The most challenging aspect was to provide real-time gait parameters. This allows to have at the same time the visual evaluation of the patient’s gait as well as a direct objective feedback about the gait metrics.
What are you looking forward to the most when you are coming to Erlangen?
>> We look forward to exchange with different people from all around the world around this topic. Additionally, we are curious to visit FAU, Erlangen and other curiosities around.
How did you approach the problem?
>> The gait analysis software was first developed in Python, than it was translated in C to be embedded in the Physilog sensor. Finally, the application was designed to provide an intuitive graphical feedback in real-time.
How long did you work on the challenge? Were there special moments, like huge breakthroughs or moments when you were thinking about giving up?
>> It is hard to evaluate the time spent on the challenge as it was different pieces of puzzle (gait software, embedded algorithm, application development) put together for this aim.The time we invested was approximately five one-man working days.The breakthrough is when you test it with the tablet in your hands and see your gait phases displayed in real-time while walking.
What did you learn during the challenge?
>> It was a good opportunity to improve our knowledge about embedded algorithm and real-time mobile application.
How would you describe the topic of the challenge and your solution to a non-expert? What makes your solution special and probably helped you win?
Movement is essential in life, but it can be affected by trauma, disease or ageing. Human gait can be quantified thanks to wearable sensors to assess how people move or who is at risk. This challenge consisted in proposing an innovative visualization of this gait measurements to provide the doctor a visual tool . This could be used in the everyday lifeso that the patient can be evaluated even in the home environment!
Many system focus only on the gait spatial parameters; one of the unique features of our solution is that the temporal parameters are represented, a very relevant clinical information. Also, it is very graphic and intuitive to use, thus easy-to-use and interpret for the clinician!