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ECG Biosensor

Power ECG Wearable Devices with NeuroSky Real-time Cardio Data Insight.

The Leading ECG chip for Mobile and Wearable Devices

CardioChip’s revolutionary capability enables wearable and mobile devices to easily capture more valuable health and fitness metrics from a user’s wrist or fingertips. These key metrics are derived from the user’s ECG data by intelligent algorithms, and are presented in an easy to understand manner that provides significant information about their health and fitness in a wearable/mobile device.

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Download Datasheet

Single chip solution

No additional components needed

Easy System Integration

UART (57.6K Baud Rate)

No External Clock

Built-in RC oscillator

Low Power Consumption

  • Less than 1 mA current consumption
  • Single 3.3V power supply with on-chip 1.2V regulator

Small Form Factor

3mm x 3mm 8 pin package

SDK support

iOS, Android, Windows

Benchmark

Validated against BioPac Single Lead ECG

Pre-built Algorithms

On IOS/Android as well as embedded ARM based platforms for easy integration into mobile apps and wearable devices.

High-Precision Signal

Analog Signal Processing

  • High performance AFE for bio-signal detection ranging from microvolt (μV) level to millivolt (mV) level

 

  • Advanced low-noise amplifier (LNA) and anti-alias filtering

 

  • High resolution (16-bit) ADC

 

  • Low input-referred noise

 

  • Automatic sensor off-body detection

Digital Signal Processing

  • Reliable detection and real-time heart rate report

 

  • Raw sinus wave output

 

  • Notch filter minimum -60dB rejection for 50Hz and 60Hz AC power-line noise

 

  • Built-in low pass filter
Developer programming embedded systems for NeuroSky biosensors

Application Examples

CardioChip is designed for easy integration into Wearable Devices, Mobile Phones and Accessories, Tablets etc. It can be embedded into these devices or used with Bluetooth/BLE to communicate wirelessly.

Diagram showing BMD101 connection to MCU/MPU and display output for ECG signal
Diagram showing BMD101 system architecture with Bluetooth/BLE communication to mobile devices
Smartwatch and mobile app showing ECG heart monitoring powered by NeuroSky

Health & lifestyle monitoring

Athlete using connected tablet app powered by NeuroSky biosensor technology

Fitness training optimization

Smartwatch displaying anxiety level tracking using NeuroSky biometric technology

Stress management & biofeedback

Gamer using NeuroSky sensor technology for enhanced gameplay

Consumer wearables, mobile apps, and web platforms

Third-party Algorithms

NeuroSky actively seeks and supports development partners. We have SDKs for the development of algorithms and applications on the iOS and Android platforms.

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Readily Available Algorithms

Signal Processing

RR Interval (RRI)

Measures time between heartbeats, foundation for heart rate and HRV analysis.

Instant beats per minute for tracking health and fitness.

Noise-resistant HR detection for more reliable results.

Tracks variations in heart rhythm, a key indicator of fitness, stress, and recovery.

Removes noise for cleaner, more accurate ECG waveforms.

1–5 scale that shows whether the ECG signal is reliable enough for accurate measurements.

Quantifies short-term stress and long-term stress patterns for better wellness tracking.

ECG Biosensor

Close-up of the NeuroSky biosensor chip on fingertip

High-performance ECG System-on-Chip (SoC) with integrated AFE, DSP, and UART for precise bio-signal detection and real-time heart rate output.

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Download ECG chip datasheet

ECG Biosensor-PCB

NeuroSky ECG PCB module showing chip and connection points

All-in-one ECG sensing module with advanced analog and digital signal processing — optimized for real-time heart rate and bio-signal applications.

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Download ECG PCB spec

“NeuroSky’s market leading CardioChip™ and innovative biometric algorithms enable our ASUS ZenWatch to capture valuable wellness metrics”

-ASUS Product Management Team-