상품카테고리 > 전자 부품 > 센서보드 > 생체센서

Gravity 근육 근전도 센서 키트 / Gravity: Analog EMG Sensor by OYMotion
판매가격 : 52,800원 (부가세 포함)
상품코드 :[7003]ZAS-DFR-SEN0240
제조사 :DFrobot
브랜드 :DFRobot [브랜드몰 바로가기]
구매수량 : 일시품절된 상품입니다. (주문: 053-588-4080)
총 금액 :

  • 상품상세
  • 관련상품
  • 배송/교환/반품 안내
  • 상품리뷰

소개 (Introduction) :


본 모듈은 사람의 근육 및 신경활동에 대한 sEMG를 감지할 수 있는 센서모듈입니다. 필터링 회로와 증폭회로를 통해 
1.5mV 이내의 최소 sEMG를 1000번 증폭하여 잡음을 제거함으로써 비교적 정확한 아날로그 신호를 출력합니다.


특징 (Features) :

  • 근육 및 신경활동 센싱

  • 아날로그 인터페이스

  • 아두이노 호환


사양 (Specification) :

  • 공급 전압: 3.3V ~ 5V

  • 작동 전압: +3V

  • 출력 전압: 0~3V (기준전압: 1.5V)

  • 감도: 1.5mV

  • 작동 전압: 0~50도

  • 크기: 22 x 35mm


구성품 (Components) :

  • EMG 센서 모듈 x 1

  • EMG 신호 측정 보드 x 1

  • 늘림 벨트 x 1

  • 센서 연결 케이블 x 1

  • Gravity 케이블 x 1


참고자료 (noted items) :



INTRODUCTION

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


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
  • Low power consumption
  • Single power supply
  • SPECIFICATION

    Signal Transmitter Board

  • Supply Voltage: +3.3V~5.5V
  • Operating Voltage: +3.0V
  • Detection Range: +/-1.5mV
  • Electrode Connector: PJ-342
  • Module Connector: PH2.0-3P
  • Output Voltage: 0~3.0V
  • Operating Temperature: 0~50℃
  • Size: 22mm*35mm (0.87inch*1.38inch)

  • Dry Electrode Board
  • Electrode Connector: PJ-342
  • Wire Length: 50cm(19.69inch)
  • Plate Size: 22 * 35 mm (0.87*1.38inches)
  • weight: 36g
  • DOCUMENTS

    Product wiki
    More Documents

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