Empowering ECE graduates to lead innovation in Biomedical Electronics & Smart Healthcare Systems.

I-PRISM training to build a global, future-ready career in medical devices, IoT & health technology.

Your Learning Journey at a Glance

What you may have learned:

➤ Electronics, signal processing, embedded systems, communication protocols, VLSI, and sensor interfacing.

What you may not know:

➤ How bio-signals (ECG, HRV, PPG) and Ayurvedic/TCM pulse data are captured, processed, digitized and clinically interpreted.

What you will learn:

➤ To design medical sensors, wearables, embedded AI devices, and communication systems for integrative diagnostics.

Basic Certification in PRISM

The PRISM Basic Certification is tailored for engineers and technologists, giving them biomedical and healthcare literacy from a systems perspective. Engineers are introduced to human biology, anatomy, physiology, and major medical conditions while learning how Vata-Pitta-Kapha concepts model homeostasis and system behaviour — offering new inspiration for innovation. They gain hands-on exposure to bio-signals, health datasets, and AI-based diagnostics such as digital pulse analysis and integrative telehealth platforms. The program enables engineers to speak both medical and technical language confidently, making them effective collaborators in emerging health-tech environments.

Who should join: ECE, EEE, CS/AI/ML, Mechatronics, Mechanical, Civil engineers — final-year students or early-career professionals interested in biomedical devices, digital health, or healthcare system innovation.

  • Outcomes
  • Apply engineering skills to healthcare innovation.
  • Work effectively with clinicians and biomedical teams.
  • Use PRISM digital tools and bio-signal analytics in real contexts.

Advanced Certification in PRISM

The Advanced Certification elevates engineers from skilled learners to innovators. Participants work on real-world healthtech solutions such as AI-based Nadi Pariksha devices, rehabilitation technologies, VR training tools, clinical data platforms, or decision-support systems embedding traditional medical knowledge. The curriculum features computational modelling, multi-omic data analytics, and entrepreneurial deployment strategies — including regulatory pathways and clinical readiness for medical devices and software. Engineers graduate with a prototype/portfolio and the capability to lead cross-disciplinary innovation in medtech.

Who should join: Students who completed the Basic program and who are already familiar with biomedical concepts who want to specialize in AI-driven healthcare, wearable/medical device engineering, robotics for therapy, or startup-led health innovation..

  • Outcomes
  • Become industry-ready healthtech innovators.
  • Build deployable prototypes and product concepts.
  • Use computational and systems-medicine models in design.
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Academic & Clinical Disciplines Covered in I-PRISM

ECE students learn enough physiology and pathology to understand what needs measuring. They study how different organ systems produce measurable signals – e.g. heart rhythms (ECG) reflect cardiovascular health, brain waves (EEG) reflect mental states. Importantly, they learn about diagnostic practices in integrative medicine (like TCM pulse diagnosis, which is essentially feeling a signal). The goal is to translate some traditional diagnostic cues into electronic sensor measurements (e.g. a device that measures pulse characteristics quantitatively for Ayurveda).

While not deeply diving into theory, ECE learners understand key integrative health markers (tongue color, pulse quality, skin moisture, etc.) that could be sensed electronically. For instance, a learning objective might be to design a sensor array that can capture aspects of a TCM pulse (force, rhythm, tone) or a yoga practitioner’s breath rate and depth during pranayama. This way, they can innovate devices that bring objectivity to traditional assessments.

This module trains them to capture the effects of mind-body practices. ECE students might develop or work with devices like EEG headbands for meditation tracking, posture sensors for yoga alignment, or stress monitors. They learn which biosignals correlate with meditative states or stress reduction (e.g. alpha brain waves increasing with relaxation). They also study user ergonomics, ensuring devices are comfortable for use during yoga or daily life.

While omics data is largely lab-based, ECE students consider how devices interface with diagnostic tests. For example, they might learn about electronic biosensors (lab-on-chip) that detect biomarkers like blood glucose, inflammation markers, or even genetic markers via portable devices. Objectives include understanding the transduction principles that turn a biochemical reaction into an electrical signal (as in glucose monitors or DNA microarrays). This lays groundwork for building portable diagnostic gadgets aligned with integrative practice (like a point-of-care device that, say, checks inflammation levels to customize an Ayurvedic detox plan).

ECE’s angle here is perhaps automated dispensing and quality control. They could learn about sensors for herbal product authentication (like spectroscopy devices to verify herb contents or detect adulterants). A project example: creating an electronic nose that detects the potency or identity of an herbal formulation based on volatile compounds, helping ensure nutraceutical quality. Thus, they support the safe, standardized use of natural products.

Here, ECE students explore electronics in regenerative therapies – e.g. bioreactors with sensors that grow tissues, or electrical stimulation devices that promote healing (TENS units, PEMF devices). They learn how electrical signals can induce biological changes (for instance, bone growth stimulators). Objectives might include designing control circuits for tissue engineering apparatus or coding microcontrollers for precise delivery of stimuli in rehab robotics.

Although more of a CS domain, ECE students need to integrate AI into devices. They learn to implement machine learning on microcontrollers or edge devices for real-time analysis of signals (like arrhythmia detection on a wearable ECG patch). They also collaborate with AI students to ensure data from their devices can feed into larger AI systems. For instance, an ECE student’s wearable respiratory monitor might use an onboard algorithm to detect pranayama effectiveness and send summary metrics to a smartphone app.

This is a cornerstone – diving deep into sensor design and signal processing techniques. They cover different sensor modalities: biopotential electrodes, optical sensors (PPG for pulse oximetry), pressure sensors, biochemical sensors, etc. They tackle challenges like signal noise from muscle artifacts or motion (e.g. making a wearable ECG robust during yoga poses). They also study communication protocols: how to reliably transmit data via Bluetooth, Wi-Fi or even body-area networks in a medical setting without loss or breach. By module’s end, they can prototype a biosensor device – say, a smart mat that tracks vital signs during yoga – processing data with filters and feature extraction algorithms.

For ECE, this might be lighter, but they learn how the data their devices collect can integrate with big data. For example, understanding formats like HL7/FHIR for health data, or how to tag sensor data with metadata for interoperability. They might also get exposed to cloud platforms for health IoT data storage and analysis. The aim is to appreciate the end-to-end pipeline from sensor signal to meaningful health insight in a database.

ECE students learn the importance of validating devices. They study how to design a usability study or a clinical trial for a new health device (for instance, testing a new remote patient monitor on 100 patients to see if it reliably detects hypertension early). They also cover regulatory pathways (CE/FDA approval for devices, ISO standards for medical device safety). This ensures their innovations can actually reach the market and bedside by meeting compliance and demonstrating efficacy.

This module teaches how various devices and technologies come together in an integrative therapeutic regimen. For example, in an integrative clinic of the future, a patient might use a suite of devices: fitness tracker, meditation headband, smart pill dispenser for herbs, etc. ECE students learn to ensure these can interconnect (interoperability) and contribute to a unified care plan. They might work on a hub that aggregates data from multiple sources and presents it to a doctor in a coherent dashboard.

ECE teams undertake a major project to design and build a prototype integrative medical device or system. One might create a “Smart Ayurvedic Pulse Reader” combining pressure sensors and AI to emulate a traditional pulse exam. Another might build a telemedicine kit – a set of wireless sensors (ECG, blood pressure, spirometer) that rural practitioners of yoga & naturopathy can use for objective monitoring. The capstone solidifies their ability to go from concept to functioning hardware/software system addressing a real healthcare need.

Application Process

Stage – 1
Eligibility & Application
Applicants provide GATE score (preferred) or strong CGPA with portfolio of relevant tech projects, along with CV, SOP, and academic transcripts.
Stage – 2
Score Normalization
Academic Index is computed by standardizing graduation marks and entrance score (if available) to ensure fair merit evaluation.
Stage – 3
ISAT Examination
Engineering-specific ISAT section evaluates branch fundamentals (e.g., DSA, circuits, signals, mechanics) and ability to apply technology to healthcare.
stage – 4
Shortlisting
Shortlisting is based on CPIS ranking, balancing academic performance with analytical and technical aptitude.
stage – 5
Interview
Panel assesses innovation mindset, practical problem-solving, portfolio quality, and readiness to translate engineering into health-tech solutions.
stage – 6
Final Selection
Final Selection Score combines academic merit, ISAT percentile, and interview evaluation to determine admission offers.
stage -7
Enrollment & Bridging
Selected candidates complete bridging modules in human biology, anatomy, and physiology to prepare for healthcare-focused coursework.
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