BITalino (r)evolution Experimental eHealth Kit

BITalino eHealth kit: the human body in all its glory

This electronic eHealth kit includes all the modules needed to create a wide variety of biometric projects. Each element is isolated in the form of a block, connected to the microcontroller block. You can either use the kit in its entirety, or just certain blocks to work on the project that interests you.

The kit is built around an ATmega328 microcontroller with a sampling rate of up to 1,000 Hz. It’s equipped with 6 analogue inputs, 4 digital inputs and 4 digital outputs.

It can interpret 4 types of biometric data:

• EMG: the electrical activity of superficial muscles and nerves, captured using electrodes
• ECG: the activity of the heart
• EEG: the electrical signals of the brain
• EDA: the signals emitted by the sweat glands and the autonomic nervous system (involuntary responses of individuals to their environment)

Various accessories for customising the SparkFun DEV-14022 kit

This biometric kit offers a value for money that designers, electronics amateurs and teachers will find particularly interesting. It also includes:

• A Bluetooth communication block for connecting to a computer
• Various LED, light sensor, push button and buzzer type accessories
• A 3-axis accelerometer and a digital-to-analogue converter

Technical specifications of the BITalino DEV-14022 kit

The kit includes:

• 1 BITalino board
• 1 x 3-wire EMG, ECG and EEG connection cable
• 1 x 2-wire EDA connection cable
• 5 pre-gelled electrodes
• 1 x 3.7V, 500 mAh LiPo battery

The board includes:

• 1 microcontroller block
• 1 power block
• 1 prototyping block
• 1 electromyography block (EMG)
• 1 electrodermal activity block (EDA)
• 1 electrocardiogram block (ECG)
• 1 electroencephalography block (EEG)
• 1 light block
• 1 accelerometer block
• 1 push button block
• 1 Bluetooth block
• 1 LED block
• 1 buzzer
• 1 digital-to-analogue converter

Resources for the SparkFun BITalino eHealth kit

The BITalino eHealth kit comes with technical data sheets and a download link for the OpenSignals software, designed to help people using the kit:

• Technical data sheets
• OpenSignals software
• GitHub