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A Study on the Novel Headset-type Biopotential Recording System for Healthcare Applications : 헤드셋 형 생체신호 측정 시스템 설계 및 건강관리 응용에 관한 연구
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김희찬 | - |
| dc.contributor.author | 안중우 | - |
| dc.date.accessioned | 2018-11-12T00:54:13Z | - |
| dc.date.available | 2019-11-06 | - |
| dc.date.issued | 2018-08 | - |
| dc.identifier.other | 000000152178 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/143015 | - |
| dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 공과대학 협동과정 바이오엔지니어링전공, 2018. 8. 김희찬. | - |
| dc.description.abstract | This thesis developed systems that can measure EEG and ECG at hairless sites using a common headset-type device that most people are accustomed to. Furthermore, clinical studies were performed to validate the usability of the developed systems in healthcare applications.
First, a wearable system that allows EEG measurements in-the-ear was developed and applied to the BCI. The steady-state visual evoked potential (SSVEP) is most frequently used in EEG-based BCI owing to the short user training time and fast information transfer rate (ITR). However, the SSVEP is vulnerable to noise because the SSVEP are very small, only several μV, and it is inconvenient because SSVEP is measured in the occipital lobe where the visual cortex exists. Therefore, the goal of this study was two-fold | - |
| dc.description.tableofcontents | Chapter 1. General Introduction 1
1.1. Biopotentials for Healthcare 2 1.1.1. Electroencephalogram (EEG) 2 1.1.2. Electrocardiogram (ECG) 5 1.2. EEG and ECG System for Healthcare 7 1.2.1. System Requirements 7 1.2.2. Headset-type System 8 1.2.3. System Considerations 10 1.3. Thesis Objectives 12 Chapter 2. Wearable In-the-ear EEG System for SSVEP-based Brain-Computer Interface (BCI) 14 2.1. Introduction 15 2.2. System Design 20 2.2.1. System Overview 20 2.2.2. Circuit Design 23 2.2.3. Printed Circuit Board Design 32 2.2.4. Design Considerations for Wearable In-the-ear Device 34 2.3. Software Design 38 2.4. Experiments 41 2.4.1. Experimental Setup 41 2.4.2. SNR Comparison between Oz and In-ear SSVEP 42 2.4.3. BCI Offline Test 43 2.4.4. Data Analysis 44 2.5. Results and Discussion 47 2.5.1. System Specifications 47 2.5.2. SNR Comparison Results 50 2.5.3. BCI Results 53 2.6. Conclusion 55 Chapter 3. Headset-type EEG and ECG System for Stress Assessment 56 3.1. Introduction 57 3.1.1. Stress and Health 57 3.1.2. Physiological Responses of Stress 59 3.1.3. Objectives 62 3.2. System Design 64 3.2.1. System Overview 64 3.2.2. Circuit Design 66 3.2.3. Printed Circuit Board Design 69 3.2.4. Design Considerations for Stress Assessment 72 3.3. Software Design 77 3.4. Experiments 78 3.4.1. EEG and ECG Recording 78 3.4.2. Stress Test 80 3.4.3. Data Analysis 85 3.5. Results and Discussion 90 3.5.1. System Specifications 90 3.5.2. EEG Alpha wave 93 3.5.3. ECG Comparison Results 95 3.5.4. Stress Assessment 98 3.6. Conclusion 105 Chapter 4. Thesis Summary and Future Direction 107 4.1. Thesis Summary and Contributions 108 4.2. Future Direction 112 Bibliography 114 Abstract in Korean 124 | - |
| dc.language.iso | en | - |
| dc.publisher | 서울대학교 대학원 | - |
| dc.subject.ddc | 660.6 | - |
| dc.title | A Study on the Novel Headset-type Biopotential Recording System for Healthcare Applications | - |
| dc.title.alternative | 헤드셋 형 생체신호 측정 시스템 설계 및 건강관리 응용에 관한 연구 | - |
| dc.type | Thesis | - |
| dc.contributor.AlternativeAuthor | Joong Woo Ahn | - |
| dc.description.degree | Doctor | - |
| dc.contributor.affiliation | 공과대학 협동과정 바이오엔지니어링전공 | - |
| dc.date.awarded | 2018-08 | - |
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