This EMG sensor is launched by the cooperation of DFRobot and OYMotion, which can detect sEMG to reflect muscle and neural activities of human.
This sensor integrates filtering circuit and amplified circuit. It amplifies minimal sEMG within ±1.5mV 1000 times and depresses noises (especially power frequency interference) by differential input and analog filter circuit. The output signal is analog,which takes 1.5V as the reference voltage. The output voltage range is 0~3.0V. The signal strength depends on the intensity of muscle activities. The output signal waveform indicates the muscle activity and contributes to analyze and research the sEMG. Specifically, we can use Arduino as a controller to detect muscle activities, e.g. check whether the muscle is tense; the muscle strength, etc.
This is an active induction sensor can provide high quality signal collection and it is easy to use. Only simple preparations are needed to apply the module for either static or dynamic areas. Dry electrode is applied to the module and good quality signal are available even without conductive gel. Compared with disposable conductive gel needed by medical electrodes, it is more convenient to use and extend its long-life service. Therefore, it is more suitable for most of users.
Measurements with an analog EMG sensor are noninvasive, convenient and this can be applied in human-computer interactions. With the development of microcontrollers and integrated electric circuits, EMG circuits and sensors have not been applied to traditional medical muscle detection researches but control systems.
Connect EMG Sensor with Arduino
OYMotion EMG sensor for muscle signal reading and robotic control | editronikx
Attention: 1. The supply voltage range is 3.3~5.5V; The supply current should not be less than 20mA; The ripple current and disturbance current should be as low as possible. Stabilized DC voltage is recommended. 2. The effective spectrum range is 20Hz~500Hz, and the ADC converter which has higher than 8-bit resolution and 1 kHz frequency are recommended to take samples and digitized to keep original information. 3. Placing the metal dry electrode should consistent with the direction of muscle. 4. The product is not a professional medical device and cannot diagnose and cure disease as an assistant device.
Features
Metal Dry Electrode: long life, easy to use
Differential input, high common mode rejection ratio
Single-channel EEG brainwave sensor for real-time monitoring and biofeedback applications Based on the TGAM brainwave acquisition chip, offering high accuracy and strong signal stability Captures raw EEG data at 512Hz sampling rate with dual baud rate output (9600 & 115200) Bluetooth and UART serial communication for wireless or wired data...
All-in-one electromyography (EMG) sensor for Arduino and microcontroller projects Reads muscle activity through surface EMG (sEMG) technology Snap connector system—no soldering required for connections Outputs muscle flex strength as an analog signal (0-VIN V) Features three output modes: Raw EMG, Rectified, and Envelope Compact, wearable design ideal for...
Gravity Analog Heart Rate Monitor Sensor (ECG) for Arduino with AD8232 chip Measures and outputs heart electrical activity as an analog ECG signal Compatible with Arduino, Raspberry Pi, Intel Edison, Joule, and Curie Features a Gravity Interface for easy plug-and-play integration Operates at 3.3V to 6V, with a compact design for various health monitoring...
Working Voltage:1.8 to 5.5 V Shutdown Current:0.7µA Color:GreenNote: This board is intended for advanced users with soldering experience and customization skills. Modifications are required to use it with an MCU (Arduino) Check below
Hi-Link HLK-FM225 advanced face recognition module with deep learning AI. Features dual cameras (IR + visible) for accurate liveness detection. High recognition accuracy (98.85%) with anti-spoofing capability. Supports UART and USB communication for versatile device integration. Compact design (40×15×10.65mm) ideal for smart locks and IoT devices. Detects...
MAX30102 Heart Rate and Pulse Oximeter Sensor Module for wearable and medical devices Features red (660nm) and infrared (880nm) LEDs with ambient light suppression Provides accurate light reflection signal (PPG) for heart rate and blood oxygen measurement Standard I2C interface for seamless integration with microcontrollers Compact design with low standby...
Taurus TGAM Brainwave Sensor Module Development Kit with EEG headband and Mindwave headset Captures and analyzes single-channel brainwave signals with precision Includes Bluetooth adapter for seamless wireless connectivity to devices Designed for biofeedback, cognitive research, and interactive control projects Not a medical device – intended for...
We'll slide into your inbox when the product is back in stock.
You have successfully subscribed to this product
Description: Fingerprint scanners are awesome. Why use a key when you have one right at the tip of your finger? Unfortunately, they're usually unreliable or difficult to implement. Well not anymore! We've found this great fingerprint module from ADH-Tech that communicates over TTL Serial so you can easily embed it into your next project.
A sensor that allows you to measure your pulse with your finger using a phototransistor. The red LED lights up each time it detects a pulse. Powered by 5 V.
Compact fingertip heart rate sensor with built-in amplification and noise filter Operates with both 3.3V and 5V systems for wide compatibility Simple breadboard-friendly interface with pre-soldered leads and pin Detects heartbeat signals reliably for biomedical and wearable projects Ideal for Arduino, Raspberry Pi, and microcontroller applications...
GSR Skin Sensor CJMCU-6701 Analog SPI Module Measures the electrical conductance of the skin (Galvanic Skin Response) Reflects human emotional activity and stress levels Suitable for creating emotion-related projects and sleep quality monitors Utilizes a precise 12-bit AD converter for accurate readings
Based on MAX30105 – heart rate, oximeter, smoke sensor Green, red, and infra-red LEDs Interface: I2C (address 0x57) Compatible with 3.3V and 5V logic levels.
Person Sensor V1.1 by Useful Sensors for face detection and recognition Pre-programmed with computer vision algorithms, no coding required Detects number of people, face location, and supports personalization Compact and low power (~150mW), ideal for embedded projects Simple Qwiic I2C interface for easy integration with SparkFun ecosystem Privacy-focused...
Transmission signal processing control chip RCWL-9196 Wide operating voltage range 4.0V to 28.0V Penetrating detection capability, compared with the traditional infrared feeling PIR Adjustable Block time and distance Operating Current: 2.8mA (typical); 3mA (max) Detection Distance: 5-9m Transmitting Power: 20mW (typical); 30mW (max) RoboticsBD
Power input: 4.5V ~ 9V (10VMAX), USB-powered Transfer rate: 110-460800bps Support UART / GPIO data communication interface Support Smart Link Smart Networking Working temperature: -40°C ~ + 125°C Drive Type: Dual high-power H-bridge Don’t need to download resetting A great set of tools to develop ESP8266 Flash size: 4MByte Lowest cost WI-FI Note: The...
The perfect solution for breaking out the pins from Lua V3 Nodemcu. Lead-out all the IO ports of the ESP-12E development board Lead out the pins of 5V and 3.3V power supply Convenient to connect with peripheral modules Onboard 5V / 1A DC-DC step-down converter circuit Onboard power indicator With DC power jack 6-24V.
40P color jumper wires Length: 300mm Weight: 45 gm Compatible with 2.54mm spacing pin headers High quality and in good working condition Durable and reusable Easy to install and use
১ টি রাস্পবেরি পাই 5 (Made in UK) RAM: 8GB একসাথে দুটি HDMI মনিটর লাগানো যায়। ১ টি রাস্পবেরি পাই ৫ কেসিং ১ টি রাস্পবেরি পাই ৫ অ্যাক্টিভ কুলার রাস্পবেরি পাই এর ইউএসবি -সি পাওয়ার এডাপটার ২৭ওয়াট ট্রান্সসেন্ড অথবা স্যানডিস্ক ব্রান্ডের জেনুইন ৬৪ জিবি অথবা ১২৮ জিবি মেমরি কার্ড প্রি-ইনস্টলড অপারেটিং সিস্টেম সহ। বিল্ট ইন Wi-Fi & Bluetooth গিগাবিট...
BDT 22,499BDT 24,045
BDT 24,045BDT 22,499tax incl.
BDT 24,045BDT 22,499tax excl.
BDT 24,045BDT 22,499tax excl.
BDT 24,045BDT 22,499tax incl.
BDT 24,045BDT 22,499tax incl.
BDT 0BDT 0Tax
BDT 24,045BDT 22,499tax excl.
BDT 24,045BDT 22,499tax excl.
BDT 0BDT 0Tax
BDT 24,045BDT 22,499tax incl.
In-Stock
In stock:17
This EMG sensor is launched by the cooperation of DFRobot and OYMotion, which can detect sEMG to reflect muscle and neural activities of human.