A Hybrid Approach for Extracting EMG signals by Filtering EEG Data for IoT Applications for Immobile Persons
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A Hybrid Approach for Extracting EMG signals by Filtering EEG Data for IoT Applications for Immobile Persons Aman Kurapa1 · Darshita Rathore1 · Damodar Reddy Edla2 · Annushree Bablani2 · Venkatanareshbabu Kuppili2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Brain Computer interface (BCI) is an emerging technology which empowers human to regulate the computer or other electronic gadgets with brain signals. This paper presents an electroencephalography (EEG) based BCI system with filtered electromyographic (EMG) signals for automating the home appliances. EEG signals are usually contaminated by various noise or artifacts which have to be removed in order to correctly interpret the desired output. The system focuses on extracting the EMG signals generated from the hand movement which can be used by a cripple, paraplegic, lame, paralyzed or a person with special need to enhance their independence and increase their capabilities. EEG signals are recorded and filtered out using hybrid digital filters. In this work, the filtered signals are sent to the micro-controller to operate different devices. Keywords Brain Computing Interface (BCI) · EEG signals · Butterworth filter · Power Spectral Density
* Damodar Reddy Edla [email protected] Aman Kurapa [email protected] Darshita Rathore [email protected] Annushree Bablani [email protected] Venkatanareshbabu Kuppili [email protected] 1
International Institute of Information Technology, Naya Raipur, Chhattisgarh, India
2
National Institute of Technology, Goa, Ponda, India
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A. Kurapa et al.
1 Introduction BCI is a joint effort between a brain and a gadget that empowers signals from the mind to guide some outer action, for example, controlling of a cursor or a prosthetic limb. A direct communication pathway between the brain and the device to be controlled is enabled through the interface [1]. Electroencephalography (EEG) is one of the notable (and maybe the most seasoned among all) brain imaging systems that gives psychological underpinnings of different mind forms, thinking, learning, observation building and emotion arousal [2]. An EEG system uses a non-invasive technology [3] that consist of non-metallic electrodes usually made of carbon and carbon fiber which are placed at the specific locations on the scalp by an internationally accepted system. The electrodes basically measure the difference in voltage which are due to ionic current which moves between neurons and the brain [4]. An electroencephalogram is a test to measure the electrical action of the mind. The system also consist of an amplifier which amplifies the EEG signals as they are of very low amplitude in 𝜇Volts. BCI has been facilitating support to the disabled patients. Getting the instruction from other parts of body and modulating the response of brain giving a channeling support between human mind and technical device. As EEG measures the electrical activity of brain, EMG measures the electrical activi
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