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High School Student Researcher Rishi’s Paper on Detecting Sinus Bradycardia From ECG Signals Using Signal Processing And Machine Learning Accepted at IEEE International Conference on Artificial Intelligence x Medicine, Health, and Care (AIMHC)

High School Student Researcher Rishis Paper On Detecting Sinus Bradycardia From Ecg Signals Using Signal Processing And Machine Learning Accepted At Aimhc

Rishi Salvi, a student at Monta Vista High School in the USA, has made notable contributions in various fields. He played a pivotal role in helping the Monta Vista Robotics Team qualify for the World Championships, focusing on software development and assisting in drafting the Impact Award. Additionally, his efforts contributed to Kennedy Middle School’s success in the US Science Olympiad, securing first place in California and second nationwide across over 30 events, including notable wins in Anatomy and Physiology.

Rishi has been an integral part of the Monta Vista High School Robotics Team, where he worked in the software division, debugging code and contributing to the team’s advancement to the World Championships. He also excelled in the Monta Vista High School Speech Team, achieving recognition as a finalist in the SCU Spring tournament after transitioning from the Kennedy Speech Team.

Rishi’s research paper, titled “Detecting Sinus Bradycardia From ECG Signals Using Signal Processing And Machine Learning,” has been accepted at the IEEE International Conference on Artificial Intelligence x Medicine, Health, and Care (AIMHC) in California, USA. This conference serves as a global platform for academia and industries to exchange insights and advancements in current practices.

Congratulations to Rishi on this remarkable achievement!

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