SmartMed Bootcamp: Hands-on Biomedical Signal Processing for Smart Wearables
The SmartMed Bootcamp: Hands-on Biomedical Signal Processing for Smart Wearables is a three-day intensive workshop designed to provide participants with a comprehensive understanding of biomedical signal processing and its real-world applications in wearable health technology. Aimed at students, researchers, and enthusiasts, the bootcamp blends theoretical concepts with practical implementation to create a holistic learning experience. Participants will explore key topics such as biomedical signal acquisition, quality assessment, noise filtering, and feature extraction. Hands-on sessions in Python will guide them through signal processing techniques and introduce them to machine learning approaches for solving real-world tasks related to biomedical signal processing. In addition to software skills, the bootcamp emphasizes hardware integration, wireless transmission methods for biomedical data, helping participants understand the complete pipeline of wearable system development. By combining lectures, live coding, and hardware demonstrations, the SmartMed Bootcamp equips attendees with the tools and confidence to design, build, and evaluate their own smart health monitoring systems. The event concludes with a valedictory session highlighting future opportunities and innovations in the field.
Date and Time
Location
Hosts
Registration
- Start time: 11 Jul 2025 04:30 AM UTC
- End time: 13 Jul 2025 11:30 AM UTC
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- 92, Acharya Prafulla Chandra Road, Rajabazar, Machuabazar, Kolkata, West Bengal 700009
- Kolkata, West Bengal
- India 700009
- Click here for Map
Agenda
Workshop Curriculum
🔹 Introduction to Biomedical Signals: ECG, PPG basics and applications
🔹 Signal Acquisition: Using research-grade systems and in house developed board.
🔹 Signal Preprocessing: Denoising and filtering techniques in Python
🔹 Feature Extraction: Extracting key signal features for analysis
🔹 Machine Learning Basics: Applied ML for health signal classification
🔹 Real-Time Projects: Two real world project
🔹 Hardware Integration: End-to-end implementation using standalone hardware
🔹 PCB Design fundamental: Layout for biomedical applications
🔹 Wireless Data Transmission: For biomedical signal processing
🔹 Future Scope