Developing a wireless, portable system with IMU and FSR sensors to monitor foot plantar pressure and gait of individuals with DFD or neurological abnormalities. The system provides visual feedback, gait parameters, shank kinematics, CoP, and stability evaluation. Data is transferred to a PC for analysis.

This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.

Cross-platform SDK for HeyCyan smart glasses - Control photo/video capture, audio recording, and AI image generation via Bluetooth LE on iOS and Android

A self-contained biomedical signal processing demo that simulates a realistic photoplethysmogram (PPG) signal, cleans it, detects heartbeats, and computes heart rate and heart rate variability (HRV) metrics. Includes clear visualizations for preprocessing, beat detection, HR trends, HRV spectral analysis, and Poincaré plotting

Data Analysis of wearable technologies autonomous systems sensor in physiotherapy, Conducted a comprehensive data analysis on Xsens MTx sensor data

A smart health monitoring system using ESP32 + MAX30100 sensor with OLED display and buzzer alerts. Built for wearable health applications by Master QAT