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Cochin
Gaadha Jeevan

Gaadha Jeevan

Biomedical Signal Processing Engineer

Healthcare

Cochin, Ernakulam

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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
Rehabilitation technology
Machine learning
Signal processing
Device design
Approximate rate: ₹ 1,000 per hour

Experience

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.

Education

  • 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

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