Video Analysis of Hand Tremor to aid in Telehealth
Hand tremor disorders are frequently misdiagnosed, due to a lack of accurate and reliable measurements outside of hospital lab settings. In addition, access to neurologists can be a challenge for rural populations. To address these challenges, Sritej created a Python code utilizing OpenCV and MediaPipe libraries to analyze computer vision measurements of hand movement from video capture. Based on his study, Sritej concluded that video analysis of hand tremors provides accurate and reliable measures and would potentially reduce tremor misdiagnosis, help remotely and effectively manage patient care, and aid in telehealth.
Why did you enter the Young Scientist Challenge?
I entered the Young Scientist Challenge, so I would have a chance to bring my video analysis algorithm to use and truly understand how I could use it to help people struggling from Parkinsons and other tremor related disorders.
What is your favorite invention of the last 100 years, and why?
My favorite invention in the last 100 years is the 3D printer. It has the ability to convert complex pixel by pixel designs into reality. Unlike many other inventions, a 3D printer can allow you to put your ideas into customized physical iterations. 3D printers changed the way manufacturing, aerospace, prototyping, and more operate, making it my favorite invention in the last 100 years.
In 15 years I hope to be...
A medical professional, possibly a neurosurgeon, combining my robotics skills and interest in medicine.
I hope that in the future I can use my video analysis algorithm to help people struggling with a tremor-associated neurological disorder, and make a change in the way hand tremors are monitored.”