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You searched for id:"oai:etd.ohiolink.edu:akron1533124706225894". One record found.

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University of Akron

1. Hoseini, Seied Zaniar. MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS.

Degree: PhD, Electrical Engineering, 2018, University of Akron

The first part of this work presents a two-channel electroencephalography (EEG) sensor frontend for portable health condition monitoring applications. The proposed scheme includes a compact and low power capacitive-coupled instrumentation amplifier (CCIA) and a successive approximation (SAR) analog-to-digital converter (ADC) with serial peripheral interface (SPI). The sensor frontend can be easily installed in a safety helmet without giving much discomfort to the human subject. The CCIA is implemented using CMOS 0.18µm technology with a 1.8V supply. The measurement results per amplifier channel showed power consumption of 540nW, input referred noise of 6.27 µVrms within the bandwidth from 0.45Hz to 250Hz, and core area of 0.0198mm2. Furthermore, the EEG frontend operation is demonstrated with an actual EEG measurement setup, where the EEG signals are obtained from three different human subjects.The second part describes a six-channel sensor frontend based on a proposed current feedback instrumentation amplifier (CFIA) along with six programmable gain amplifiers (PGAs) and SAR ADCs and one SPI module integrated in a single chip. This CFIA cancels a DC electrode offset up to ±300mV and achieves a worst case CMRR of 83dB and input impedance greater than 2.7G¿. The proposed sensor frontend showed a better motion artifact rejection capability compared to a commercial counterpart. The measured power consumption and the core area of the CFIA are 34.8µW and 0.00735mm2, respectively. The third part of this work describes an area efficient time-mode SAR ADC with capacitor flipping voltage generation. The proposed SAR ADC is realized with a single-capacitor and a single-current source where the capacitor flipping scheme eliminates multiple current sources used for the capacitor charging and discharging operation. Furthermore, the charge sharing error caused by parasitic capacitance is reduced by pre-charging the parasitic capacitor before the capacitor flipping operation. As a result, the SAR ADC can be implemented with extremely small area and low power consumption due to the reduced number of circuit components. An 8-bit 364.9kS/s time-mode SAR ADC is designed with CMOS 0.18um technology, and the ADC operation and performance are verified through circuit level simulations. Advisors/Committee Members: Lee, Kye-Shin (Advisor).

Subjects/Keywords: Biomedical Engineering; Electrical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hoseini, S. Z. (2018). MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1533124706225894

Chicago Manual of Style (16th Edition):

Hoseini, Seied Zaniar. “MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS.” 2018. Doctoral Dissertation, University of Akron. Accessed October 19, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1533124706225894.

MLA Handbook (7th Edition):

Hoseini, Seied Zaniar. “MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS.” 2018. Web. 19 Oct 2018.

Vancouver:

Hoseini SZ. MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS. [Internet] [Doctoral dissertation]. University of Akron; 2018. [cited 2018 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1533124706225894.

Council of Science Editors:

Hoseini SZ. MULTI-CHANNEL EEG SENSOR FRONTEND FOR PORTABLEHEALTH CONDITION MONITORING APPLICATIONS. [Doctoral Dissertation]. University of Akron; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1533124706225894

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