Sritej Padmanabhan
Finalist
1425 Mystic Valley Dr
Sewickley, Pennsylvania 15143
13 years old
8th grade
Did you cite your work?
No
Where do you get your science news from?
Other
Please share some examples!
Science Daily
What present-day scientists do you follow?
Ashoke Sen
Please choose the category your project aligns to:
Improving Health
Student Gender
Male
Race/Ethnicity
Asian Indian
Language
English
Science Olympiad:
No
School
Marshall Middle School
5145 Wexford Run Rd
Wexford, PA 15090-7458
Parent / Guardian Email
preethapadmanabhan36@gmail.com
Home Phone
4123677078
Alternate Phone
7246017773
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.
Does your invention already exist? If so, what makes your innovation different and why does that matter?
Currently an innovation applying video analysis and machine learning to analyze hand tremors is not exisiting. Neurosurgeons use existing scales such as the Fahn- Tolosa- Marin (FTM) tremor rating scale and the Essential Tremor Rating Assessment Scale (TETRAS) which usually grade the tremors based on amplitude. These measurements are performed in the clinics and are subjective (observer dependent). Hand tremors are also commonly assessed as either mild, moderate, or severe making it difficult to detect changes over a period of time. Over 30% of hand tremors are misdiagnosed and over 20% of Parkinson’s disease are also misdiagnosed. This inaccuracy is a clear weakness in these scales and misdiagnosis is common. My innovation of a video analysis routine, provides much more accurate and precise measurements thorough frame by frame analysis of hand tremors, providing the accurate frequency of a hand tremor. This Video Analysis method is objective and can be used to reliably quantify the hand tremor. It gives finer measurements and would be very useful in documenting the percentage change in tremor over time. Such precise measurements are crucial, as minor changes in the patients hand tremor frequency, can foreshadow This method can be used in the clinics as well as via telemedicine.
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.

Quote

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.”