EMG Muscle Signal Sensor Signal Electromyography

Sparkfun MyoWare 2.0 Muscle Sensor Development Kit  is an all-in-one electromyography (EMG) sensor kit compatible with Arduino. Just snap on a MyoWare 2.0 Shield, add some EMG sensor pads, connect the sensor to a muscle group and flex! The kit also includes the SparkFun RedBoard Plus is an Arduino compatible board and the MyoWare 2.0 Arduino Shield to connect the MyoWare® 2.0 sensor via a cable to the Arduino.

This detection module that allows you to detect your heart rate and blood oxygen level from your Arduino project. You can monitor your blood oxygen level yourself to avoid going to the doctor or pharmacy on purpose. Simply press the sensor with your finger and wait for the reading of hemoglobin (Spo2), heart rate and Perfusion Index (PI%). It is a solution as an integrated heart rate sensor and pulse oximetry, which includes two LEDs, a photodetector and is optimized for analog low noise optics.

Sparkfun sensor  MyoWare® 2.0 from Advancer Technologies is a newer version of this producer's bestseller. The MyoWare 2.0 muscle sensor included in this kit has been redesigned from the ground up with a new compact and easy-to-use design, and has been updated with the latest, most advanced chipset to improve sensor performance and reliability. In addition, MyoWare has developed a range of shields that work with the sensor (in our LED shield offering, displaying sensor readings as LED lights).

MyoWare Power Shield is designed to use two standard CR2032 coin cell batteries to power the MyoWare muscle sensor. These will be connected in parallel for extended capacity at a nominal 3.0V.

This is the MyoWare Muscle Sensor Development Kit, an Arduino-powered electromyography (EMG) sensor kit that gives you the MyoWare, each MyoWare Shield and everything you need to connect them all together.

This tiny little board features two chips from Maxim Integrated: MAX32664 and MAX30101. The 30101 Oximetry module  is the sensor on board responding for both oximetry and heart rate sesnsing. The MAX32664 is equipped with a Cortex M4 handling algorithimc calculations, digital filtering and automatic gain control. The board comes with I2C and SparkFun has provided to it Qwiic connectors for ease of use.

This detection module combines a phototransistor and an LED that, when placed on a finger or ear lobe, provides a reading.
By reading this signal you can interpret a change in the signal as a heartbeat.
Keep in mind that this is a sensitive module and you will experience the noise from home lights and other sources, since minimizing the lighting of the unit will help get the readings.
Heartbeat sensor Arduino features:
- Connection pins:
- S: Analog output
- (+): Power supply 3-5 VDC,
- (-): GND.
- Length: 18mm,
- Width: 18mm,
- Height: 4mm,
- Operating temperature: -40ºC to + 85ºC.

This sensor from Advancer Technologies is an improved version of the bestseller from this producer. It got several upgrades including single supply voltage of 3.1V up to 5V, polarity protection in the power pins output and RAW EMG. 

Microwave radar presence and motion sensor using FMCW technology, compatible with Arduino and Raspberry Pi.

This is your simple three conductor sensor cable with electrode pad wires. These cables measure 24" long and feature a 3.5mm audio jack on one end with snap type receptacles for biomedical sensor pads.