Low Power Bio-potential Amplifier (for EEG)
The size and dependency on power supply of current biopotential data acquisition systems prohibit continuous monitoring of biopotential signals through battery powered devices. As the interest in continuous monitoring of EEG increases for healthcare and research purposes such as seizure detection, t...
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Universiti Teknologi Petronas
2013
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Online Access: | http://utpedia.utp.edu.my/13515/1/13105%20Dissertation.pdf http://utpedia.utp.edu.my/13515/ |
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my-utp-utpedia.135152017-01-25T09:38:30Z http://utpedia.utp.edu.my/13515/ Low Power Bio-potential Amplifier (for EEG) HOOI, LIM YONG The size and dependency on power supply of current biopotential data acquisition systems prohibit continuous monitoring of biopotential signals through battery powered devices. As the interest in continuous monitoring of EEG increases for healthcare and research purposes such as seizure detection, there is an increasing need to bring down the power consumption on the biopotential amplifier (BPA). BPA is one of the most power consuming components in the biopotential data acquisition system. In this FYP, we will develop a method to improve the existing BPA using MIMOS 0.35um process technology through implementation of various low power flicker noise cancelation techniques. Techniques used include low impedance node chopping and non-overlapping demodulation chopping. The scope of this FYP is focusing on design and simulation on Cadence software in circuit level implementation. This work provides insights as well as a starting point in lowering the power consumption of bio-potential data acquisition system. This will help to enable battery power system for continuous monitoring of EEG signals in the future. This final report discusses on both the literature review, background of the projects and methodology as well as the outcome of the work. The report is concluded by suggesting future works that can be carried out in this final year project (FYP). Universiti Teknologi Petronas 2013-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/13515/1/13105%20Dissertation.pdf HOOI, LIM YONG (2013) Low Power Bio-potential Amplifier (for EEG). Universiti Teknologi Petronas. (Unpublished) |
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The size and dependency on power supply of current biopotential data acquisition systems prohibit continuous monitoring of biopotential signals through battery powered devices. As the interest in continuous monitoring of EEG increases for healthcare and research purposes such as seizure detection, there is an increasing need to bring down the power consumption on the biopotential amplifier (BPA). BPA is one of the most power consuming components in the biopotential data acquisition system. In this FYP, we will develop a method to improve the existing BPA using MIMOS 0.35um process technology through implementation of various low power flicker noise cancelation techniques. Techniques used include low impedance node chopping and non-overlapping demodulation chopping. The scope of this FYP is focusing on design and simulation on Cadence software in circuit level implementation. This work provides insights as well as a starting point in lowering the power consumption of bio-potential data acquisition system. This will help to enable battery power system for continuous monitoring of EEG signals in the future. This final report discusses on both the literature review, background of the projects and methodology as well as the outcome of the work. The report is concluded by suggesting future works that can be carried out in this final year project (FYP). |
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HOOI, LIM YONG |
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HOOI, LIM YONG Low Power Bio-potential Amplifier (for EEG) |
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HOOI, LIM YONG |
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HOOI, LIM YONG |
title |
Low Power Bio-potential Amplifier (for EEG) |
title_short |
Low Power Bio-potential Amplifier (for EEG) |
title_full |
Low Power Bio-potential Amplifier (for EEG) |
title_fullStr |
Low Power Bio-potential Amplifier (for EEG) |
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Low Power Bio-potential Amplifier (for EEG) |
title_sort |
low power bio-potential amplifier (for eeg) |
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Universiti Teknologi Petronas |
publishDate |
2013 |
url |
http://utpedia.utp.edu.my/13515/1/13105%20Dissertation.pdf http://utpedia.utp.edu.my/13515/ |
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1739831904837828608 |
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13.211869 |