Design and Implementation of CMOS Fully-Integrated Smart Systems for Biomedical Applications

博士 === 國立臺灣大學 === 電子工程學研究所 === 106 === As the population aging keeps growing, healthcare is one of the most concerned topic in recent years, especially for the elderly. CMOS fully-integrated system is going to play an indispensable role in building a healthcare-friendly environment and still has gre...

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Bibliographic Details
Main Authors: Kun-Ying Yeh, 葉昆穎
Other Authors: Shey-Shi Lu
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/9sn385
Description
Summary:博士 === 國立臺灣大學 === 電子工程學研究所 === 106 === As the population aging keeps growing, healthcare is one of the most concerned topic in recent years, especially for the elderly. CMOS fully-integrated system is going to play an indispensable role in building a healthcare-friendly environment and still has great potential for further development. An overview of CMOS fully-integrated smart biomedical systems using the system-on-a-chip (SoC) technique is presented in this dissertation. Design concepts of key circuit blocks, sensors, and demonstration are also addressed. Three smart systems incorporated with different CMOS SoCs and sensors, which are specifically designed and implemented for different biomedical applications, are totally put forth. First, a dual-mode pulsed radio-frequency (PRF) stimulation SoC fabricated in TSMC 0.35μm CMOS process is realized for trigeminal neuralgia alleviation on demand. Trigeminal neuralgia is an inflammation of the trigeminal nerve, causing extreme pain and muscle spasms in the face. To stop this extreme pain immediately when it occurs is the top requirement for a solution to trigeminal neuralgia. The implantable system using PRF stimulation provides prompt pain alleviation by simply controlling a handheld device anywhere anytime. Dual-mode PRF stimulation and reconfigurable parameters are utilized to optimize the effectiveness for each patient. Temperature sensing and signal oversampling are also employed to ensure the safety. Real-time stimulation parameter monitoring and animal studies are demonstrated for the verification of this system. Next, a wireless monitoring smart oral appliance with a tunneling sensor array for sleep apnea treatment is presented. Conventional oral appliance therapy is effective and popular for OSA treatment, but making a perfect fit for each patient is time-consuming. This smart oral appliance, which is capable of intelligently collecting the physiological data about tongue movement through the whole therapy, is specifically designed. A tunneling sensor array with an ultra-high sensitivity is incorporated to accurately detect the subtle pressure from the tongue. A compact prototype module, whose size is 4.5×2.5×0.9 cm3, is implemented and embedded inside the oral appliance to demonstrate the tongue movement detection in continuous time frames. The functions of this design are verified by the presented measurement results. This design aims to increase efficiency and make it a total solution for OSA treatment. Last, a cuffless wearable system with cloud computing assistance is realized for real-time pulse pressure monitoring. The pulse pressure variation associated with arterial blood flow is a valuable indicator for early diagnosis of cardiovascular diseases. To detect the subtle wrist artery pressure, a tunneling sensor array with an ultra-high sensitivity is utilized in this system. After the readout circuit amplifies and converts the pulse pressure-induced signal, a wireless communication module transmits the data to intellectual devices and eventually to the cloud storage. Real-time and sustainable pulse pressure monitoring is demonstrated from sensor detection to cloud computing. Through the digital signal processing, long-term pulse pressure monitoring improves the accuracy of cuffless applications, and measured data can accomplish cardiovascular event fast screening after being processed by Hilbert Huang transform (HHT), pulse rate variability (PRV), and multi-scale entropy (MSE) analysis.