Biosensing Quick Starts

OpenBiotech brings together open-source tools that enables individuals, research groups, clinics and enterprises to build innovative and cloud-native biosensing solutions.

The Body Area Network & Human Digital Twin

An integrated suite of specialist sensors, software and cloud services for ubiquitous, versatile, always-on monitoring and analysis of every aspect of the human body.
Target biopotentials include
  • Electrocardiogram (EKG)
  • Electroencephalogram (EEG)
  • Electromyogram (EMG)
  • Electrooculogram (EOG)
  • Electroretinogram (ERG)
  • Electrogastrogram (EGG)

Nervous
System
Skeletal
System
Circulatory
System
Respriatory
System
Digestive
System
Muscular
System

Growing Ecosystem of Open-Source

Biosensing Hardware

Open devices offer raw data access and the flexibility to customize sensor readings, so you can freely adapt and extend device settings for varied use cases and to fit specific needs.
Ipsum
The EmotiBit is a versatile wearable sensor designed to measure a broad range of physiological signals related to both emotional and physical states. It attaches to devices like the Adafruit Feather, providing processing power and connectivity. The EmotiBit can collect data from multiple biometric signals, including:
Electrodermal activity (EDA): Measures skin conductance, which indicates emotional arousal or stress levels. Photoplethysmography (PPG): A non-invasive optical technique to monitor heart rate, heart rate variability (HRV), and blood oxygen saturation (SpO2) by detecting changes in blood volume. Body temperature: Monitors fluctuations in body heat. Respiration rate: Tracks breathing patterns. Accelerometer data: Captures motion and orientation, useful for tracking physical activity or relaxation.
EmotiBit is used for health and wellness monitoring, biofeedback and emotional research. Its ability to track emotional and physiological responses makes it ideal for mental wellness, fitness, and even creative arts, where emotional and physical data can enhance user experiences.
Quick Start
Emotibit Setup Wifi to Cloud Setup OpenBiotech Setup
Get Started
Features
4-Channels 200Hz Sampling Rate Data Logging 100% User Data Ownership
Biopotentials + Sensors
Photoplethysmogram (PPG) Electrocardiogram (ECG or EKG) – Heart Electroencephalogram (EEG) – Brain Electromyogram (EMG) – Muscle Accelerometer (X/Y/Z)
Communications
Bluetooth LE USB (High Frequency) 16 GPIO – Arduino-compatible
Order
Order an EmotiBit from the OpenBCI marketplace.
Purchase
Assess a scientific validation report to verify that the device fits your needs.
Scientific Validation

Cyton

Quick Start
Cyton Setup BrainFlow OpenBiotech Data Bridge OpenBiotech Setup
Get Started
Features
8 to 16-Channels 16KHz Sampling Rate SD Card Local Storage Data Logging 100% User Data Ownership
Biopotentials + Sensors
Electrocardiogram (ECG or EKG) – Heart Electroencephalogram (EEG) – Brain Electromyogram (EMG) – Muscle Accelerometer (X/Y/Z)
Communications
Bluetooth LE USB (High Frequency) 5 GPIO – Arduino-compatible Programmable PIC32 Grounded w/ Inverted Common Mode High-gain/Low-noise ADC
Order
Order a Cyton from the OpenBCI marketplace.
Purchase
Assess a scientific validation report to verify that the device fits your needs.
Scientific Validation

Ganglion

Quick Start
Ganglion Setup BrainFlow OpenBiotech Data Bridge OpenBiotech Setup
Get Started
Features
4-Channels 200Hz Sampling Rate Data Logging 100% User Data Ownership
Biopotentials + Sensors
Electrocardiogram (ECG or EKG) – Heart Electroencephalogram (EEG) – Brain Electromyogram (EMG) – Muscle Accelerometer (X/Y/Z)
Communications
Bluetooth LE USB (High Frequency) 16 GPIO – Arduino-compatible
Order
Order a Ganglion from the OpenBCI marketplace.
Purchase
Assess a scientific validation report to verify that the device fits your needs.
Scientific Validation

Muscle Sensor

Quick Start
Myowear Setup RPi/Arduino -> PC -> Cloud OpenBiotech Data Bridge OpenBiotech Setup
Myowear 2.0
MYOWARE 2.0 Muscle Sensor measures muscle activity through the electric potential of the muscle, commonly referred to as surface electromyography (EMG or sEMG for short)
Features
Supply Voltage: min. = 2.27V, typ. = +3.3V or +5V, max. = +5.47V Input Bias Current: 250 pA, max 1 nA Input Impedance: 800 Common Mode Rejection Ratio (CMMR): 140 dB Ideal Gain Equation: Raw (RAW): G = 200 Rectified (RECT): G= 200 Envelope (ENV): G = 200 * R / 1 kOhm R is the resistance of the gain potentiometer in kOhm Filters: High-pass Filter: Active 1st order, fc = 20.8 Hz,2-20dB Low-pass Filter: Active 1st order, fc = 498.4 Hz,2-20dB Low-pass Filter: Active 1st order, fc = 498.4 Hz,2-20dB Envelope Detection: Linear, Passive 1st order, fc = 3.6 Hz,3 -20 dB Rectification Method: Full-wave Sample Rate: Not applicable – MyoWare Sensor is analog. See measuring device specifications.
Biopotentials + Sensors
Electromyogram (EMG/sEMG) – Muscle
Communications
Bluetooth LE USB (High Frequency) 16 GPIO – Arduino-compatible
Order
Order a Cyton from the SparkFun marketplace.
Purchase
Assess a scientific validation report to verify that the device fits your needs.
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