Medical IoT · Real-Time EMG Monitoring

Smart Muscle
Activation Assistant

Clinical-grade EMG biofeedback via ESP32 wearable. Real-time muscle activation signals, overexertion detection, and rehabilitation progress tracking — all in one platform.

LIVE EMG SIGNAL
RMS: 847 µVACTIVE
Latency: 48ms
SNR: 34 dB
ESP32-MYOTRACK-01 · 12-bit ADC
≤200ms Latency≥20dB SNR12-bit ADC ResolutionBLE 5.0 WirelessReal-Time RMS Calc

≤200ms

Sensor-to-App Latency

12-bit

ADC Resolution

≥20dB

Signal-to-Noise Ratio

20µV

Min. Detectable Signal

5mV

Max EMG Amplitude

100ms

Feedback Update Rate

Platform Features

Clinical-Grade Muscle Monitoring

Built for physiotherapists and athletes who demand precision. Every feature traces back to real clinical and performance needs.

Core

Real-Time EMG Waveform

Live muscle activation graph updating at 100ms intervals with moving-average filtering to reduce noise. See every contraction as it happens.

Signal Processing

RMS Activation Indicator

Continuous Root Mean Square calculation with GREEN (≥200µV) and RED (<200µV) visual indicators. Instantly know if muscle activation is sufficient.

Safety

Overexertion Warnings

Automatic alerts when RMS exceeds 2000µV or sustained contraction exceeds 10 seconds. Protect patients from injury in real-time.

Connectivity

Wireless BLE 5.0 Connection

Seamless ESP32 pairing via Web Bluetooth API. No apps to install — works directly in the browser with sub-200ms end-to-end latency.

Analytics

Session History & Progress

Track RMS trends, peak activation values, and overexertion events across sessions. Export any session as CSV for clinical documentation.

AI

AI Fatigue Prediction

Machine learning model analyzes declining RMS trends across repeated contractions to predict muscle fatigue before performance drops.

Use Cases

Built for Two Worlds

Performance Athletes

Strength & conditioning optimization

  • Monitor muscle recruitment patterns during compound lifts
  • Detect bilateral activation imbalances between left and right muscles
  • Optimize training load before overexertion warning triggers
  • Track fatigue index across training blocks for periodization
  • Real-time haptic feedback to correct activation technique mid-set

Physiotherapy Patients

Rehabilitation & injury recovery

  • Verify muscle re-activation after injury or surgery with objective data
  • Prevent re-injury with automatic overexertion and contraction duration alerts
  • Track rehabilitation milestones with session-over-session RMS improvement charts
  • Export session reports as CSV for clinical documentation and insurance records
  • Haptic biofeedback guides patients through correct activation without verbal cues

Technical Specifications

Built on Proven Hardware

ESP32 Hardware

ADC Resolution12-bit (0–4095)
Reference Voltage3.3V
AttenuationADC_11dB
Voltage FormulaV = (ADC/4095) × 3.3

Signal Specifications

EMG Amplitude Range50µV – 5mV
Min. Detectable Signal≥20µV
Required SNR≥20dB
Activation Threshold200µV RMS

Wireless & Latency

ProtocolBLE 5.0 / WiFi
APIWeb Bluetooth API
Update Interval≤100ms
End-to-End Latency≤200ms

Signal Processing

Noise ReductionMoving Average Filter
MetricRMS Calculation
Overexertion Threshold2000µV RMS
Contraction Warning>10 seconds

Trusted By Clinicians & Athletes

Outcomes That Matter

MyoTrack transformed how I assess muscle re-activation post-ACL surgery. The RMS threshold indicator gives my patients immediate feedback — they know exactly when they're activating correctly.

PN

Dr. Priya Nambiar

Senior Physiotherapist, Apollo Rehab Centre

The overexertion warning saved one of my sprinters from a hamstring tear during a heavy training block. Real-time data at this quality used to cost ten times more.

KM

Kiran Mehta

Strength Coach, National Athletics Federation

The CSV export and session history make longitudinal research viable. I can track activation recovery across 12-week protocols with a single wearable device.

SP

Soo-Jin Park

Sports Medicine Researcher, AIIMS Delhi

Ready to Connect

Start Monitoring in
Under 60 Seconds

Connect your ESP32 wearable via BLE, place the EMG electrode, and begin your first real-time session immediately.