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  • $20.35
  • Free 30-day Returns
  • Ships from China.
    Sold by ThermalNest

    Shipped by ThermalNest

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    Meet Your Seller

    AJMRTC EMG Muscle Signal Sensor Controller, Muscle Activity Detection Development Board, EMG Electromyography Sensor Module for Wearable Devices, Bio-Signal Acquisition for DIY Biofeedback & Bionic

    • - EMG muscle signal sensor captures electromyography signals to detect and collect human muscle activity data
    • - Compact development board with signal amplification and filtering circuit for stable bio-signal output
    • - Designed for wearable devices, lightweight structure fits wearable hardware integration
    • - Easy to read analog signal output, compatible with Arduino, ESP32 and other main control boards
    • - Widely used for biofeedback experiments, prosthetic control, gesture recognition and maker research projects
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    AJMRTC EMG Muscle Signal Sensor is a professional electromyography acquisition development board. It can detect weak muscle bioelectrical signals, amplify and filter raw signals to output readable analog signals. This EMG controller is specially optimized for wearable device integration, with small size and low power consumption. It can identify muscle contraction and relaxation states, supporting gesture recognition, biofeedback training, bionic prosthesis control and electronic experiment development. Simple wiring makes it easy to connect with common microcontroller boards for academic research, maker DIY projects and wearable technology development.


    Specifications
    1. Brand: AJMRTC
    2. Product Name: EMG Muscle Signal Sensor Controller
    3. Function: Detect & collect human muscle electromyography signal
    4. Signal Processing: Amplification, filtering
    5. Output: Analog signal
    6. Application: Wearable devices, biofeedback, gesture recognition, bionic control, electronic experiment
    7. Compatible MCU: Arduino, ESP32, STM32 and other main control boards
    8. Power Supply: 3.3V / 5V
    9. Feature: Low power consumption, compact wearable design


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