Have your next project be controlled by your muscles with this pack of Muscle Sensor Surface EMG Electrodes! Pair the electrodes with the MyoWare Muscle Sensor and a microcontroller (ie. Arduino, or anything else with analog input reading ability) to create a DIY low-cost version of an EMG or an electromyograph!
Electromyography is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. Use these sensors in prosthetics, robotics, and so much more!
The H124SG Covidien electrode type has a pre-gelled adhesive side with non-irritating gel, especially developed to prevent allergic reactions. The foam electrode is latex free and therefore suitable for every skin type.
The snap-on connector can easily be pushed on or removed from the electrode lead on the MyoWare. Therefore you have optimal user friendliness as you dispose this electrode after every session! No more greasy electrodes as the H124SG will cover the surface of the electrode. This also extends the life of your electrodes.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Heart rate monitor module based on the MAX30102 chip. Powered with the voltage from 3.3 to 5V, communication via the I2C interface.
No product available!
Heart rate monitor module based on the popular MAX30101 and MAX32664. The board is equipped with connectors compliant with the Qwiic standard. SparkFun SEN-15219
No product available!
Module with an EMG signal detector. The board is equipped with a Grove connector and has an analog output. Seeed Studio 101020058
The module with a heart rate sensor and the SpO2 level dedicated to micro:bit. It is based on the MAX30102 chip and communicates via the I2C interface. SparkFun SEN-15271
Module with a pulse sensor (heart rate). The board is equipped with a Grove connector and a digital output in the form of pulses. Seeed Studio 101020033
No product available!
Iduino SE049 is a simple and functional heart rate sensor, ideal for educational and hobbyist projects in the fields of electronics and bioengineering. Thanks to its compatibility with Arduino and intuitive operation, it allows for the creation of custom measurement devices such as pulse meters or smart health-monitoring wristbands. It is suitable for mobile and stationary applications as part of a diagnostic or training system.
The module with the MAX30100 chip that monitors the oxygen content in the blood and the heart rate. It consists of two LED diodes, a photodetector, optimized optics and low noise analog signal processing. modMAX30100
Module with a pulse sensor and SpO2 level (oxygen saturation level). It is based on the MAX30102 chip and MCU with heart rate and oximetry algorithm. Sensor communicates via the I2C interface. DFRobot SEN0344
No product available!
Module with pulse and SpO2 level sensor (oxygen saturation level). The module is based on the MAX30102 chip and communicates via the I2C interface.
No product available!
A module with an EMG sensor that detects the activity of human muscles and neurons. Generates an analog signal in the range from 0 to 3 V on the output, it does not require the use of a conductive gel. DFRobot SEN0240
Disposable biomedical electrodes that allow you to perform experimental ECG measurements. DFRobot FIT0510
Module with a pulse sensor and the level of SpO2 (oxygen saturation level). It is based on the MAX30102 chip and communicates via the I2C or UART interface (Gravity connector). DFRobot SEN0518
Module with heart rate and SpO2 sensor (oxygen saturation level) MAX30100 designed for M5Stack sets. M5Stack U029
Heart rate measurement module compatible with Arduino and Raspberry Pi (Gravity: Heart Rate Monitor Sensor For Arduino). It uses PPG technique, which in a simple and cheap way is able to measure the changing volume of blood. DFRobot SEN0203
Finger Vein Scanner Module (B) is a thin, energy-efficient biometric module with finger vein detection based on a Cortex-M4F microcontroller, designed for precise user identification in security applications. NIR technology enables effective recognition regardless of the skin surface condition, making the module a reliable alternative to traditional fingerprint readers. Thanks to its compact dimensions and a rich set of accessories, it facilitates integration with smart locks, door handles, access control systems, and compact IoT terminals.
Muscle Sensor Surface EMG Electrodes allow you to control your projects with your muscles. Adafruit 2773