Tutorial of surface electromyography Part 2:Processing

Why do we need process sEMG? : Raw sEMG signal has many artifact(Motion, ECG e.t.c.). And usage of sEMG is diffrent. So we have to process Raw sEMG signals. There are so many artifact of sEMG signals. But I introduce mainly occured artifact of sEMG signals. 1. ECG noise : some part of muscle near vein can be mixed with…

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Tutorial of surface electromyography Part 1: Making circuit and choosing muscle

As I mention before surface electromygraphy(sEMG) is bio-electric signal which is come from human muscle unit. This time I’m going to introduce making a circuit to extract sEMG from human body and how to find muscle location for sensors. 1. Muscle location Actually, It is very hard to find muscle location to general persons. Most of people don’t know much…

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Tutorial of surface electromyography Part 1: Making circuit and choosing muscle

As I mention before surface electromygraphy(sEMG) is bio-electric signal which is come from human muscle unit. This time I’m going to introduce making a circuit to extract sEMG from human body and how to find muscle location for sensors. 1. Muscle location Actually, It is very hard to find muscle location to general persons. Most of people don’t know much…

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Surface electromyography based robot control

In recently, robot between user interface is hot issue in robotics. Many sensors and devices are used to control robot frequently. One of the most usable thing is biosignals which occured from operator to control robot. Generally used biosignals are electroencephalography(EEG), electromygraphy(EMG), electrocardiography(ECG). They are all based on neuron signals(which is electrical signal) from human body. I introduce EMG signal…

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근전도신호를 이용한 로봇제어

최근 로봇과 사용자간의 인터페이스를 중요시 여기면서, 많은 외부 센서나 장비를 이용하여 들어온 신호를 바탕으로 로봇을 제어하는 경우가 많아졌다. 그 중 하나로 떠오르는 것이 생체신호를 이용한 로봇제어로써, 사용자의 생체신호를 기반으로 사람의 마음대로 로봇을 제어하고자 하는 시도가 많이 이루어지고 있다. 대표적인 생체신호로는 뇌전도(EEG), 근전도(EMG), 심전도(ECG) 등이 있으며, 이들은 인간의 신체에 존재하는 뉴런을 기반으로 생성되는 신호들이다. 특히 사용자가 움직이는 모션을 그대로 따라하기 위함으로서,…

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