Enhance your safety and well-being by providing accurate and reliable information about your heart's electrical activity
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Hardware Overview
How does it work?
ECG Click is based on two MCP609s, a micropower CMOS operational amplifier from Microchip. These are unity-gain stable, rail-to-rail output swing operational amplifiers with a low offset voltage and input bias current designed to prevent phase reversal when the input pins exceed the supply voltages. ECG Click has a seven-block design. It comprises ESD, overvoltage and overcurrent protection (protecting both the hardware and the user), a pre-amplifier and amplifier, two high-pass filters, a low-pass filter, and a DRL circuit. When the electrical signal from the heart reaches the skin's surface, it becomes significantly faint, measuring only a few millivolts. However, this weak signal faces further obstruction due to muscle activity originating from different body parts. Additionally, electromagnetic interference from the surrounding environment, where the body can act as an antenna, presents another noise source. An onboard 3.5mm phone jack connects cables/electrodes to the Click board™.
The electrode collects voltage from the skin, after which the signal is amplified and filtered and then sent to the analog AN pin of the host MCU over the mikroBUS™ socket. The three electrodes should be placed on the left arm, right arm, and the left side of the abdomen (below the heart), on the left leg. ECG Click has one jumper and a trimmer potentiometer for setting the output voltage to match the input voltage level of the ADC, which will be used (10-bit ADC - 12-bit recommended). As a reference, it uses the MAX6106, a low-cost, micropower, low-dropout, high-output-current voltage reference from Analog Devices. The SMD (0805) jumper determines its output voltage range. When connecting all three electrodes, the output should be a constant voltage (1.024V or 2.048V, depending on the jumper position). The trimmer potentiometer is for adjusting the gain. So, if you set the jumper to the 2.048 position (zero is now 1.024V), the gain will be set so that the ECG
waveform is in the range of 0-2.048V. If you set the jumper to the 4.096 position (zero is now 2.048V), the gain will be set so that the ECG waveform is in the range of 0-4.096V. The final measurement results can be displayed as an Electrocardiogram using a free app, the MikroPlot, a free data visualization tool (Windows). It's a simple tool to help you visualize sensor data recorded over time, suitable for biosignals (ECG, EEG, EMG) and environmental data logging (temperature, humidity, and more). The app can receive data sets from a microcontroller through a USB UART connection. This Click board™ can only be operated with a 5V logic voltage level. The board must perform appropriate logic voltage level conversion before using MCUs with different logic levels. However, the Click board™ comes equipped with a library containing functions and an example code that can be used, as a reference, for further development.
Features overview
Development board
Arduino UNO is a versatile microcontroller board built around the ATmega328P chip. It offers extensive connectivity options for various projects, featuring 14 digital input/output pins, six of which are PWM-capable, along with six analog inputs. Its core components include a 16MHz ceramic resonator, a USB connection, a power jack, an
ICSP header, and a reset button, providing everything necessary to power and program the board. The Uno is ready to go, whether connected to a computer via USB or powered by an AC-to-DC adapter or battery. As the first USB Arduino board, it serves as the benchmark for the Arduino platform, with "Uno" symbolizing its status as the
first in a series. This name choice, meaning "one" in Italian, commemorates the launch of Arduino Software (IDE) 1.0. Initially introduced alongside version 1.0 of the Arduino Software (IDE), the Uno has since become the foundational model for subsequent Arduino releases, embodying the platform's evolution.
Microcontroller Overview
MCU Card / MCU

Architecture
AVR
MCU Memory (KB)
32
Silicon Vendor
Microchip
Pin count
28
RAM (Bytes)
2048
You complete me!
Accessories
Click Shield for Arduino UNO has two proprietary mikroBUS™ sockets, allowing all the Click board™ devices to be interfaced with the Arduino UNO board without effort. The Arduino Uno, a microcontroller board based on the ATmega328P, provides an affordable and flexible way for users to try out new concepts and build prototypes with the ATmega328P microcontroller from various combinations of performance, power consumption, and features. The Arduino Uno has 14 digital input/output pins (of which six can be used as PWM outputs), six analog inputs, a 16 MHz ceramic resonator (CSTCE16M0V53-R0), a USB connection, a power jack, an ICSP header, and reset button. Most of the ATmega328P microcontroller pins are brought to the IO pins on the left and right edge of the board, which are then connected to two existing mikroBUS™ sockets. This Click Shield also has several switches that perform functions such as selecting the logic levels of analog signals on mikroBUS™ sockets and selecting logic voltage levels of the mikroBUS™ sockets themselves. Besides, the user is offered the possibility of using any Click board™ with the help of existing bidirectional level-shifting voltage translators, regardless of whether the Click board™ operates at a 3.3V or 5V logic voltage level. Once you connect the Arduino UNO board with our Click Shield for Arduino UNO, you can access hundreds of Click boards™, working with 3.3V or 5V logic voltage levels.
3-wire ECG/EMG cable comes with a convenient 3.5mm phone jack, and it is designed for electrocardiogram recording. This 1m cable is a practical companion for medical professionals and enthusiasts. To complement this cable, you can also use single-use adhesive ECG/EMG electrodes measuring 48x34mm, each equipped with an ECG/EMG cable stud adapter. These electrodes ensure a seamless experience when paired with our ECG/EMG cable and guarantee reliable ECG/EMG signal transmission for comprehensive cardiac monitoring. Trust in the accuracy and convenience of this setup to effortlessly record electrocardiograms and electromyograms with confidence.
Used MCU Pins
mikroBUS™ mapper
Take a closer look
Click board™ Schematic

Step by step
Project assembly
Track your results in real time
Application Output
1. Application Output - In Debug mode, the 'Application Output' window enables real-time data monitoring, offering direct insight into execution results. Ensure proper data display by configuring the environment correctly using the provided tutorial.

2. UART Terminal - Use the UART Terminal to monitor data transmission via a USB to UART converter, allowing direct communication between the Click board™ and your development system. Configure the baud rate and other serial settings according to your project's requirements to ensure proper functionality. For step-by-step setup instructions, refer to the provided tutorial.

3. Plot Output - The Plot feature offers a powerful way to visualize real-time sensor data, enabling trend analysis, debugging, and comparison of multiple data points. To set it up correctly, follow the provided tutorial, which includes a step-by-step example of using the Plot feature to display Click board™ readings. To use the Plot feature in your code, use the function: plot(*insert_graph_name*, variable_name);. This is a general format, and it is up to the user to replace 'insert_graph_name' with the actual graph name and 'variable_name' with the parameter to be displayed.

Software Support
Library Description
This library contains API for ECG Click driver.
Key functions:
ecg_generic_read
- This function read ADC dataecg_default_cfg
- This function executes default configuration for ECG Clickecg_init
- This function initializes all necessary pins and peripherals used for ECG Click
Open Source
Code example
The complete application code and a ready-to-use project are available through the NECTO Studio Package Manager for direct installation in the NECTO Studio. The application code can also be found on the MIKROE GitHub account.
/*!
* \file
* \brief Ecg Click example
*
* # Description
* This example demonstrates the use of ECG Click board.
*
* The demo application is composed of two sections :
*
* ## Application Init
* Initializes Click board.
*
* ## Application Task
* Reads ADC sends results on serial plotter.
*
*
* \author MikroE Team
*
*/
// ------------------------------------------------------------------- INCLUDES
#include "board.h"
#include "log.h"
#include "ecg.h"
// ------------------------------------------------------------------ VARIABLES
static ecg_t ecg;
static log_t logger;
static uint16_t read_adc;
static uint32_t time_read;
// ------------------------------------------------------- ADDITIONAL FUNCTIONS
void plot_res ( uint16_t plot_data, uint32_t plot_time )
{
log_printf( &logger, "%u,%u \r\n", plot_data, plot_time);
}
// ------------------------------------------------------ APPLICATION FUNCTIONS
void application_init ( void )
{
log_cfg_t log_cfg;
ecg_cfg_t cfg;
/**
* Logger initialization.
* Default baud rate: 115200
* Default log level: LOG_LEVEL_DEBUG
* @note If USB_UART_RX and USB_UART_TX
* are defined as HAL_PIN_NC, you will
* need to define them manually for log to work.
* See @b LOG_MAP_USB_UART macro definition for detailed explanation.
*/
LOG_MAP_USB_UART( log_cfg );
log_init( &logger, &log_cfg );
log_info( &logger, "---- Application Init ----" );
// Click initialization.
ecg_cfg_setup( &cfg );
Delay_ms ( 200 );
ECG_MAP_MIKROBUS( cfg, MIKROBUS_1 );
ecg_init( &ecg, &cfg );
Delay_ms ( 200 );
time_read = 0;
}
void application_task ( void )
{
time_read++;
read_adc = ecg_generic_read( &ecg );
plot_res( read_adc , time_read);
Delay_ms ( 5 );
}
int main ( void )
{
/* Do not remove this line or clock might not be set correctly. */
#ifdef PREINIT_SUPPORTED
preinit();
#endif
application_init( );
for ( ; ; )
{
application_task( );
}
return 0;
}
// ------------------------------------------------------------------------ END
Additional Support
Resources
Category:Biometrics