This remarkable EMG sensor is the result of a collaboration between DFRobot and OYMotion. It can detect surface electromyography (sEMG) to show the muscle and neural activities of humans. The sensor has a built - in filtering and amplified circuit. It magnifies the minimal sEMG within ±1.5mV by 1000 times and reduces noises, especially power frequency interference, using differential input and an analog filter circuit. The analog output signal uses 1.5V as the reference voltage, with an output voltage range of 0 - 3.0V. The signal strength is related to muscle activity intensity, and the output signal waveform helps in analyzing sEMG. You can use Arduino as a controller to detect muscle activities, like checking muscle tension and strength. This active induction sensor offers high - quality signal collection and is super easy to use. You just need some simple preparations to use the module on both static and dynamic areas. It uses a dry electrode, so you can get good - quality signals even without conductive gel. Compared to medical electrodes that need disposable conductive gel, it's more convenient and has a longer lifespan, making it suitable for most users. Measuring with this analog EMG sensor is non - invasive and convenient, and it can be used in human - computer interactions. With the development of microcontrollers and integrated circuits, EMG circuits and sensors are now used in control systems, not just traditional medical muscle detection research. Features include a long - lasting and easy - to - use metal dry electrode, differential input with a high common - mode rejection ratio, low power consumption, and single power supply. Specifications: The signal transmitter board has a supply voltage of +3.3V - 5.5V, an operating voltage of +3.0V, a detection range of +/-1.5mV, and more. The dry electrode board has a 50cm wire length, a plate size of 22 * 35 mm, and weighs 36g.
Using this EMG sensor is a breeze. First, make sure the supply voltage is between 3.3V and 5.5V, and the supply current is at least 20mA. It's best to use a stabilized DC voltage to keep ripple and disturbance currents low. When placing the metal dry electrode, make sure it's in the same direction as the muscle. You can connect the EMG sensor with Arduino to detect muscle activities. You'll be able to tell if the muscle is tense and measure its strength. For sampling, use an ADC converter with a resolution higher than 8 - bit and a frequency of 1kHz to keep the original information. Remember, this product isn't a professional medical device, so it can't diagnose or cure diseases. To maintain the sensor, keep it within the operating temperature range of 0 - 50℃. Since it uses a dry electrode, you don't have to worry about conductive gel, which makes it easy to clean and use for a long time.
