Gaadha Jeevan

Biomedical Engineering postgrad with a passion for decoding emotions through facial EMG. My research blends signal processing, machine learning, and neuroscience to recognize micro-expressions and advance emotion-aware technology. I've worked on BCI systems, EMG analysis, and rehab tech, and recently explored injury biomechanics and its forensic applications. I thrive at the intersection of engineering and healthcare, always curious, always building.

Biomedical Engineer | Signal Processing & Healthcare Tech Specialist

I’m a biomedical engineer with a passion for transforming physiological signals into meaningful clinical insights. I specialize in EMG, EEG, ECG, and IMU data analysis using MATLAB and Python, with hands-on experience in machine learning and deep learning-based diagnostics.

My previous work includes developing a CIMT device for stroke rehab during my internship at Amrita Hospital and leading facial EMG-based micro-expression recognition research at NIT Trichy, resulting in two IEEE conference papers. From feature extraction to full ML pipelines, I deliver accurate, efficient, and clinically relevant solutions.

Let’s collaborate to bring innovation to healthcare—through data-driven, patient-focused technology.

• M.Tech in Biomedical Engineering, VIT (CGPA: 9.43); B.Tech in Electronics & Biomedical Engineering, Govt.

  Model Engineering

  College, Kerala (CGPA: 9.11)

• GATE 2025 qualified (AIR: 219), demonstrating national-level proficiency in biomedical engineering
• Designed DACS, a novel physiotherapy device for Adhesive Capsulitis, emphasizing user-centric rehab
• Developed a hybrid sensor-based activity monitor for children with Autism to support sensory integration
• Conducted independent research on stroke gait analysis using IMU sensors, presented at ICAICTSEE 2023
• Strong foundation in biomedical signal processing, AI in healthcare, and device design