Design and Simulation of Front End 3-in-1 EEG, ECG, EMG Bio-Potential Signal Acquisition System
| dc.contributor.advisor | Daniel, Dilbie (Mr.) | |
| dc.contributor.author | Yonas, Worede | |
| dc.date.accessioned | 2020-11-26T06:38:07Z | |
| dc.date.accessioned | 2023-11-28T14:31:54Z | |
| dc.date.available | 2020-11-26T06:38:07Z | |
| dc.date.available | 2023-11-28T14:31:54Z | |
| dc.date.issued | 2020-06 | |
| dc.description.abstract | The last couple of years have given birth to meticulously mapped and innovative solutions in regards to product as well as research of medical analysis tools and diagnostic equipment. The industry has shown a major transformation on the general process of diagnosis tools providing flexibility and enhanced accuracy. However, despite the astonishing progress of the bio-medical industry, the status of medical provision is still a concern in third world countries. The inaccessibility and unaffordability of medical equipment in such countries needs immediate attention as many people fall prey to this problem which can be solved through the provision of a supplementary solution that can aid the process of preliminary diagnosis. In this thesis, the design of a front-end system for EEG, ECG and EMG signal acquisition is done. The design addresses the problem of medical provision in under developed nations by providing a supplementary hardware that is portable making it cost-efficient and readily available. Moreover, it extends the research aspect in the area through the combination of a 3-in-1 signal acquisition hardware and optimizing the design in regards to performance, complexity and scalability. Owing to the fact that the signals operated by the hardware are very weak in nature, the utilization of low noise amplifiers with very high common-mode rejection ratio and gain adjustment is critical. Moreover, the implementation of analog-to-digital conversion needs a thorough analysis in regards to the architecture, resolution and area of application. Accordingly, the design in this thesis is specifically done so as to improve the performance in regards to noise cancellation, minimization of filter circuitry, number of channels and overall circuit complexity. Verification of the design is done with the co-simulation of PSPICE and SIMULINK. The simulation is carried out for individual cases of EEG, EMG and ECG application by using physiological signals of patients from PhysioNet.org through the addition of noise signals to mimic actual physical application of the hardware. Furthermore, the output is analyzed and compared with existing products and previous researches in the area which yielded a 21% improvement in common-mode rejection ratio and a 33% increase in channel capacity. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/23593 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Simulation | en_US |
| dc.subject | End 3-in-1 EEG | en_US |
| dc.subject | ECG | en_US |
| dc.subject | EMG Bio-Potential Signal | en_US |
| dc.title | Design and Simulation of Front End 3-in-1 EEG, ECG, EMG Bio-Potential Signal Acquisition System | en_US |
| dc.type | Thesis | en_US |