EMG Muscle Activity Sensor Module

Product Highlights

  • Bio-Signal Detection: Captures microvolt electrical activity from muscle contractions.
  • Adjustable Sensitivity: Built-in potentiometer to fine-tune gain for different muscle groups.
  • Noise Reduction: Integrated filtering circuit ensures a clean analog output signal.
  • Simple Connectivity: 3.5mm medical jack for electrodes and standard 3-pin microcontroller header.
  • Bionics Ready: The ideal starting point for DIY prosthetic and robotic control projects.
SKU: EK1949 Category: Tag:

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1.200,00 EGP

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Description

The EMG Muscle Activity Sensor Module is a compact bio-signal acquisition board designed to measure and amplify electrical activity generated by skeletal muscles (Electromyography signals). It detects subtle electrical potentials produced during muscle contraction and converts them into an analog output signal that can be read by microcontrollers such as Arduino, ESP32, Raspberry Pi, or other development boards.

This module is ideal for robotics control, prosthetics research, biomedical projects, gesture recognition systems, and human-machine interface applications.


Specifications

Signal Type:

  • Electromyography (EMG)

Input Voltage:

  • 3.3V – 5V DC

Output Signal:

  • Analog voltage (0 – VCC)

Gain:

  • High-gain amplification (typically adjustable or preset)

Filtering:

  • Integrated noise filtering

  • Rectified and smoothed output (varies by model)

Electrodes:

  • Compatible with standard disposable biomedical electrodes

Board Features:

  • Onboard signal amplification circuit

  • Noise reduction filtering

  • 3-pin or 4-pin interface (VCC, GND, OUT, sometimes SIG/RAW)


Short Features

  • Detects muscle electrical activity

  • Amplified and filtered output

  • Works with Arduino, ESP32, and other MCUs

  • Low power consumption

  • Easy electrode connection

  • Compact and lightweight design


Applications

  • Prosthetic hand control

  • Robotics and gesture control

  • Human-machine interface systems

  • Biomedical research projects

  • Muscle fatigue monitoring

  • Exoskeleton systems

  • Wearable health monitoring devices

🔌
Pin Connections
1 Table
Pin Connections Table 1
BoardSensor PinConnection
EMG SensorSIG/VCC/GNDboard analog pin / 3.3-5V / GND
📟
EMG Muscle Activity Sensor Module
7 Examples • C/C++ | Boards: Arduino Uno, Arduino Nano, Arduino Mega, ESP32, ESP8266, STM32, Raspberry Pi Pico
EMG Muscle Activity Sensor Module - Arduino Uno
EMG Muscle Activity Sensor Module - Arduino Nano
EMG Muscle Activity Sensor Module - Arduino Mega
EMG Muscle Activity Sensor Module - ESP32
EMG Muscle Activity Sensor Module - ESP8266
EMG Muscle Activity Sensor Module - STM32
EMG Muscle Activity Sensor Module - Raspberry Pi Pico
📄 File: emg_muscle_activity_sensor_module_-_arduino_uno.inoArduino Uno
316 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin A0 on Arduino Uno
6#define EMG_PIN A0
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_arduino_nano.inoArduino Nano
317 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin A0 on Arduino Nano
6#define EMG_PIN A0
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_arduino_mega.inoArduino Mega
317 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin A0 on Arduino Mega
6#define EMG_PIN A0
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_esp32.inoESP32
310 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin 34 on ESP32
6#define EMG_PIN 34
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_esp8266.inoESP8266
312 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin A0 on ESP8266
6#define EMG_PIN A0
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_stm32.inoSTM32
312 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin PA0 on STM32
6#define EMG_PIN PA0
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
📄 File: emg_muscle_activity_sensor_module_-_raspberry_pi_pico.inoRaspberry Pi Pico
322 characters
1//ekostra.com
2//electronics store in egypt
3//+201008896258
4
5// Analog pin 26 on Raspberry Pi Pico
6#define EMG_PIN 26
7
8void setup() {
9 Serial.begin(115200);
10}
11
12void loop() {
13 int signal = analogRead(EMG_PIN);
14 Serial.println(signal); // watch in the Serial Plotter - activity shows as increased amplitude
15 delay(5);
16}
Analog EMG front-end (similar concept to the AD8232 ECG board) - outputs a rectified/filtered muscle-activity waveform.

نظرة عامة ومواصفات المنتج — بالعربية

EMG Muscle Activity Sensor Module متوفر الآن في متجر إكوسترا للإلكترونيات، ضمن قسم Sensors، بسعر 1.200,00 EGP. كود المنتج لدينا: EK1949. المنتج متوفر في المخزون وجاهز للشحن الفوري لكل محافظات مصر مع إمكانية الدفع عند الاستلام.

أهم المواصفات الفنية:

  • Product Name: EMG Muscle Activity Sensor Module
  • Type: Electromyography (EMG) Sensor
  • Operating Voltage: 3.3V – 5V DC
  • Signal Output: Analog / Digital (Depends on Module)
  • Sensitivity: Adjustable
  • واجهة الاتصال: Analog Pin / Digital Pin
  • Sampling Rate: Up to 1 kHz
  • Features: Detects Muscle Activity / Lightweight / Easy to Use

هذا المنتج مناسب لمشاريع الأردوينو (Arduino) و ESP32 و Raspberry Pi، ومشاريع الروبوتات وإنترنت الأشياء والتعليم الهندسي. جميع القطع مفحوصة قبل الشحن.

تصفّح المزيد من Sensors في إكوسترا.

Specification

Specification

WeightWeight6 g
Dimensions3 × 2 × 1 cm
Product NameEMG Muscle Activity Sensor Module
TypeElectromyography (EMG) Sensor
Operating Voltage3.3V – 5V DC
Signal OutputAnalog / Digital (Depends on Module)
SensitivityAdjustable
InterfaceAnalog Pin / Digital Pin
Sampling RateUp to 1 kHz
FeaturesDetects Muscle Activity, Lightweight, Easy to Use
ApplicationProsthetics, Robotics, Biofeedback, Wearable Devices

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