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EMG Muscle Sensor Module for Arduino Wearable Control Board ( Not recommended for accuracy )

5.0(1 review)
SKU: ME-13612
JD26.00

The EMG Muscle Sensor Module detects and measures muscle activity using advanced electromyography (EMG) technology. Compatible with Arduino, it’s ideal for wearable projects, fitness tracking, and biomedical experiments. Compact and easy to use, it enables real-time analysis of muscle signals. (Not recommended for high-accuracy applications.)

يعمل مستشعر العضلات EMG على اكتشاف وقياس نشاط العضلات باستخدام تقنية تخطيط كهربية العضلات المتقدمة، وهو متوافق مع Arduino. مثالي لمشاريع الأجهزة القابلة للارتداء، وتتبع اللياقة، والتجارب الطبية الحيوية. صغير الحجم وسهل الاستخدام، ويمكنه تحليل إشارات العضلات في الوقت الفعلي. (غير موصى به للاستخدامات التي تتطلب دقة عالية.)

Biomedical Sensors

The EMG Muscle Sensor Module for Arduino is a compact development board designed to detect and analyze muscle activity through electromyography (EMG) signals. It converts the tiny electrical potential generated by muscle movements into readable data that can be processed and visualized via Arduino.

This sensor is a great choice for students, hobbyists, and developers exploring wearable devices, fitness tracking, biomedical applications, or motion control systems. With its plug-and-play design, it can be easily connected to Arduino or similar microcontroller platforms to record, process, and display muscle signals in real-time.

While it provides excellent educational and experimental functionality, it is not recommended for professional medical or precision applications due to limited signal accuracy.

 

Specifications

Model: EMG Muscle Sensor Module
Technology: Electromyography (EMG)
Output Type: Analog signal output
Input Voltage: 3.3V – 5V (Arduino compatible)
Signal Range: Detects muscle activity via surface electrodes
Compatibility: Arduino, Raspberry Pi, and other microcontrollers
Size: Compact module for easy wearable integration
Recommended Use: Educational, experimental, and DIY wearable projects
Accuracy: Moderate (not suitable for medical-grade measurements)

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