5-day hands-on programme · 17 Nov – 21 Nov 2026

Build the future of Smart Health.

A focused Skill Development Programme connecting biomedical signals, sensors, embedded systems, PCB design and IoT dashboards to real-world healthcare innovation.

View 5-day schedule → Download Hardware Kits ↓ Discover the programme

◷ Daily: 2:00–5:00 PM ⅁ Hands-on learning ✦ Prototype-focused

〰Biomedical
Signals

⅁Connected
Devices

⌘PCB &
Embedded AI

▥Live Health
Dashboard

5 DaysFocused learning

15 HoursContact programme

2–5 PMDaily schedule

1 PrototypeBuild & demonstrate

About the SDP

From biosignal to connected health solution.

Designed as a compact, practical learning experience, the programme moves from the fundamentals of biomedical signals to sensor interfacing, cloud logging and a demonstrable smart-health prototype.

⅁

Learn by building

Explore biomedical sensors and acquisition, signal conditioning, circuit simulation, PCB design and embedded boards through guided demonstrations and practical activities.

ECG · EMG · EEG · PPGArduino / ESP32PCB Design

▥

Connect data to decisions

Collect sensor data, visualise it with MATLAB or Python, send readings to cloud platforms and explore dashboards, remote monitoring and basic alerts.

Python / MATLABThingSpeakHealth dashboards

Programme roadmap

Five afternoons. One connected journey.

All sessions run from 2:00 PM to 5:00 PM (17 Nov – 21 Nov 2026). Session faculty allocations are based on the updated programme plan.

NOV17TUE

Smart Health Systems & Biomedical Signals

Day 1 · Foundations and acquisition

2:00–2:15

Inauguration and SDP overviewOrganising Committee

2:15–2:45

Biomedical engineering and smart healthcareDr. Shiva Sharma

2:45–3:15

ECG, EMG, EEG and PPG biosignalsDr. Shiva Sharma

3:15–3:45

Signal acquisition, noise and artifactsDr. Manoj Kr. Sharma

3:45–4:00

Tea break Break

4:00–4:40

Live ECG/EMG acquisition demonstrationDr. Manoj Kr. Sharma

4:40–5:00

IoT applications, discussion and Q&AMrs. Dipika Sharma / Mentors

NOV18WED

Biomedical Sensors & Signal Conditioning

Day 2 · Electrodes, amplifiers and filters

2:00–2:30

Biomedical sensors and ECG/EMG electrodesMs. Sweety Pal

2:30–3:10

Instrumentation amplifiers: AD620, INA333 and TL074Dr. Manoj Kr. Sharma

3:10–3:40

Analog filters, gain stages and circuit safetyMrs. Dipika Sharma

3:40–3:55

Tea break Break

3:55–4:35

Proteus/Falstad simulation and signal-conditioning demonstrationDr. Manoj Kr. Sharma

4:35–5:00

Signal observation, troubleshooting and Q&AMrs. Dipika Sharma / Mentors

NOV19THU

PCB Design for Biomedical Applications

Day 3 · Schematic to fabrication files

2:00–2:25

PCB design flow: schematic, layout and routingMrs. Dipika Sharma

2:25–2:55

KiCad, EasyEDA and AI-assisted PCB toolsDr. Manoj Kr. Sharma

2:55–3:35

Designing a one-channel amplifier PCBMrs. Dipika Sharma / Dr. Manoj Kr. Sharma

3:35–3:50

Tea break Break

3:50–4:30

Component placement, routing, 2D/3D viewer and design checksDr. Manoj Kr. Sharma

4:30–5:00

Gerber files, BOM, manufacturing overview and design reviewMentors

NOV20FRI

IoT, Embedded Systems & Real-Time Cloud Logging

Day 4 · ESP32, Firebase & Google Sheets

2:00–2:30

IoT applications in smart healthcare & embedded architecturesDr. Rakhi Bhardwaj / Mrs. Dipika Sharma

2:30–3:05

Arduino & ESP32 biomedical sensor interfacing (ADC, BLE & Wi-Fi)Dr. Manoj Kr. Sharma

3:05–3:20

Tea break Break

3:20–4:15

Cloud logging: Streaming data to Firebase Realtime DB & Google SheetsDr. Manoj Kr. Sharma / Mentors

4:15–5:00

Real-time smartphone dashboards, data visualisation & alertsMentors

NOV21SAT

Prototype Demonstration, Evaluation & Valedictory

Day 5 · Integration, evaluation and celebration

2:00–2:45

End-to-end prototype integration: Sensor front-end to cloud dashboardDr. Manoj Kr. Sharma / Mentors

2:45–3:45

Group-wise project presentations and live prototype demonstrationsParticipants

3:45–4:00

Tea break Break

4:00–4:30

Technical evaluation, panel feedback and future directionsFaculty Panel / Mentors

4:30–5:00

Certificate distribution, valedictory address and vote of thanksOrganising Committee

Laboratory Repository & Downloads

Hands-on Project Assets & Hardware Kits

Access and download complete circuit schematics, Gerber PCB archives, Arduino and ESP32 firmware, Python telemetry bridges, and companion Android applications for the SDP laboratory sessions.

▥ PCB Fabrication

4 Files KIT-01

Bio-Signal Front-End PCB Kit & Schematics

Analog Front-End (AFE) Hardware Package

Complete multi-lead biosignal acquisition hardware package for ECG, EMG, and EEG. Includes production Gerber archives, verified component Bill of Materials (BOM), and circuit schematics.

EasyEDA Gerber Archive BOM Sheet Multi-Lead AFE

↓ Circuit Schematics & Wiring Diagram PDF ↓ Fabrication Gerber Package ZIP (70 KB) ↓ Verified Bill of Materials (BOM) XLSX ↓ Technical Specsheet & Pinout PDF

◎ Companion App

2 Files PROJECT 00

Smart Health Systems Companion Mobile App

Offline Portal & Telemetry Viewer

Official Android companion app for SDP students. Enables mobile dashboard access, quick schedule viewing, lab documentation offline reading, and sensor telemetry streaming.

Android APK MIT App Inventor Mobile UI

↓ Download Companion Android App APK (4.3 MB) ↓ App Inventor Project Source AIA (443 KB)

∿ Biosignal HMI

2 Files PROJECT 01

EMG-Controlled Chrome Dino Game

Muscle-to-Action Biosignal Interface

Real-time Human-Machine Interface (HMI) using Electromyography (EMG) signals. Forearm muscle contractions trigger jumps in the Chrome Dino game via Arduino Uno and ESP32.

Electromyography Arduino Uno ESP32 Biosignal HMI

↓ Arduino Uno Controller Firmware INO ↓ ESP32 Controller Firmware INO

◉ Bluetooth Low Energy

3 Files PROJECT 02

BLE Smart Health & Actuator Controller

Wireless ESP32-to-Phone Telemetry

Bluetooth Low Energy (BLE) peripheral pipeline connecting ESP32 biomedical microcontroller nodes with a custom smartphone companion application for wireless device triggering.

BLE 4.2 / 5.0 ESP32 Android APK Wireless

↓ ESP32 BLE Peripheral Firmware INO ↓ Download Android Controller APK APK ↓ App Inventor Project Source AIA

❀ Neurofeedback & AI

3 Files PROJECT 03

Real-Time EEG Neurofeedback & Colab Pipeline

Brainwave Streaming & Sound Modulation

Single-channel EEG acquisition system streaming real-time neuro-electrical potentials directly into Python and Google Colab with integrated auditory focus and relaxation neurofeedback cues.

Single-Channel EEG Google Colab Python Socket Audio Feedback

↓ Analog EEG Acquisition Firmware INO ↓ Google Colab Streamer Script PY ↓ Local Python Socket Server PY

☁ Cloud Database

1 File PROJECT 04

ESP32 to Firebase Real-Time EEG Telemetry

Direct Cloud Database Push & Web View

Direct WiFi telemetry pipeline pushing calibrated EEG voltage frames from ESP32 into Google Firebase Realtime Database for instantaneous low-latency live web charting.

ESP32 WiFi Firebase Realtime DB Live Web Charts Cloud IoT

↓ ESP32 Firebase Streaming Firmware INO

◇ Mobile Health

3 Files PROJECT 05

Android Live EEG Dashboard via Firebase

Mobile Visualization & Digital Filtering

Dedicated smartphone clinical dashboard reading filtered EEG biosignals from Firebase Cloud with real-time waveform plotting, digital bandpass filtering, and signal strength indicators.

Firebase Cloud Android App Digital Filtering ESP32 Firmware

↓ Download EEG Dashboard Android App APK ↓ App Inventor Project Source AIA ↓ Filtered EEG ESP32 Firmware INO

✔ Clinical Data Logging

4 Files PROJECT 06

Real-Time EEG Logging to Google Sheets via ESP32

Cloud Medical Record Pipeline & Lab Manual

Automated clinical recording pipeline capturing zero-centered EEG biosignals, serializing via Python bridge, and logging directly into Google Sheets. Includes the official student laboratory guide.

ESP32 Centering Google Sheets API Jupyter Notebook Lab Guide PDF

↓ Official Student Laboratory Guide PDF ↓ Jupyter Cloud Analytics Notebook IPYNB ↓ Python Serial-to-Cloud Bridge PY ↓ ESP32 Signal Centering Firmware INO

∿ Spectral DSP

1 File PROJECT 07

Brain Waves Amplitude & FFT Frequency Analysis

Fast Fourier Transform (FFT) on ESP32

Embedded digital signal processing executing on-chip Fast Fourier Transform (FFT) algorithms on raw EEG data to decompose rhythms into Delta (0.5-4Hz), Theta (4-8Hz), Alpha (8-13Hz), and Beta bands.

FFT Spectral Analysis Delta/Theta/Alpha/Beta ESP32 DSP Band Power

↓ FFT Spectral Analysis Firmware INO

Programme contributors

Faculty & mentoring team

Faculty names are shown as listed in the previous SDP plan. Final session allocations may be updated by the organisers.

Dr. Shiva Sharma

Smart healthcare, biomedical signals and biosignal fundamentals

Dr. Manoj Kr. Sharma

Signal acquisition, instrumentation, PCB, embedded systems and IoT integration

Mrs. Dipika Sharma

Signal conditioning, IoT and hands-on demonstrations

Ms. Sweety Pal

Biomedical sensors and electrodes

Dr. Rakhi Bhardwaj

IoT applications in smart healthcare

Mentors & Organising Committee

Practical guidance, project evaluation and programme coordination

What participants will explore

Skills to take beyond the workshop.

By the end of the SDP, participants will have followed a practical workflow from signal acquisition to a connected monitoring concept.

01 / ACQUIRE

Understand biosignals

Identify common biomedical signals and learn the basics of acquisition, artifacts, electrodes and signal conditioning.

02 / ENGINEER

Design & interface

Explore PCB workflows, embedded boards, sensor interfacing and common communication protocols.

03 / CONNECT

Visualise & demonstrate

Stream, log and visualise sensor data using software and cloud dashboards, then present a prototype concept.

Mark your calendar

Smart Health Systems SDP · 2026

17 November – 21 November 2026 · Daily from 2:00 PM to 5:00 PM

Explore the schedule ↑