Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Wearable Biosensors for Continuous Health Monitoring teaches the technology behind the growing world of health wearables. You learn the sensing mechanisms these devices use — electrochemical, optical and physical — to measure everything from heart rate and motion to sweat glucose and biomarkers, and the flexible, skin-compatible materials that make them wearable. The course covers signal acquisition and processing, power and connectivity, and the accuracy and calibration challenges of sensing on a moving body. You finish able to reason about designing a wearable biosensor for a health-monitoring goal. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers wearable biosensors — the sensing mechanisms, materials and signal processing behind devices that continuously monitor physiological and biochemical health.
📋 Course Objectives
1. Explain electrochemical, optical and physical sensing.
2. Describe flexible, skin-compatible sensor materials.
3. Acquire and process physiological signals.
4. Address power, connectivity and calibration.
5. Match a sensor design to a monitoring goal.
👥 Who Should Enroll?
• Biomedical and sensor engineers
• Health-tech and wearables developers
• Materials and device researchers
• Students of biosensing
🚀 Key Learning Outcomes
• An understanding of wearable-biosensor design.
• The ability to reason about a health-wearable.
• A foundation in continuous monitoring.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Foundations of Wearable Biosensors For Continuous Health Monitoring and Core Biological Principles
Analyze the fundamental principles of human physiology and their relationship to wearable biosensor applications • Develop a comprehensive understanding of the core biological principles underlying continuous health monitoring • Evaluate the current state of wearable biosensor technology and its potential for transforming healthcare delivery
Laboratory Techniques, Protocols, and Data Collection
Configure laboratory equipment and protocols for collecting and processing biological data from wearable biosensors • Implement standardized methods for data quality control and assurance in wearable biosensor research • Design and optimize experimental protocols for wearable biosensor-based studies
Bioinformatics Tools and Computational Analysis
Apply bioinformatics tools and pipelines for processing and analyzing large-scale biological data from wearable biosensors • Develop computational models for predicting health outcomes and identifying biomarkers from wearable biosensor data • Integrate machine learning algorithms with bioinformatics tools for enhanced data analysis and interpretation
Research Methodology and Experimental Design
Design and develop research studies using wearable biosensors, including participant recruitment and data collection protocols • Evaluate the validity and reliability of wearable biosensor-based measures and outcomes • Develop and implement data management plans for wearable biosensor research studies
Advanced Wearable Biosensors For Continuous Health Monitoring Applications and Translational Research
Investigate the applications of wearable biosensors in various clinical and non-clinical settings • Develop innovative solutions using wearable biosensors for addressing real-world healthcare challenges • Translate wearable biosensor research into practice, including the development of clinical trials and intervention studies
Regulatory Compliance, Bioethics, and Safety Standards
Analyze the regulatory frameworks governing wearable biosensor development and deployment • Evaluate the bioethical implications of wearable biosensor use, including issues related to data privacy and security • Implement safety standards and guidelines for wearable biosensor use in research and clinical settings
Industry Applications, Career Pathways, and Case Studies
Explore the current and emerging industry applications of wearable biosensors, including consumer and medical markets • Develop a comprehensive understanding of career pathways and professional opportunities in wearable biosensor research and development • Analyze case studies of successful wearable biosensor-based products and services
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | MATLAB |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
Frequently Asked Questions
Scholar Feedback & Reviews
Based on 0 scholar submissions
Rating Breakdown
No verified reviews published yet. Be the first to share your academic experience.
Leave Scholar Feedback
Your rating will help prospective scholars. Ratings below 3 stars are routed privately to the faculty mentor for immediate response.
