Digital Circuit of Smart Oral Appliance with Snoring Sound Detection
Date Issued
2015
Date
2015
Author(s)
Hou, Jen-Cheng
Abstract
Sleep apnea is a disorder in which you have one or more pauses in breathing while you sleep. It is characterized by recurrent episodes of upper airway collapse during sleep. According to the statistics, about 4% of men and 2% of women have sleep apnea. Improvement of quality of sleep is getting important. Sleep Apnea can be treated with surgery, CPAP or oral appliance. Oral appliance is more acceptable because it is cheaper and easy to use. In this work, we present a Smart Oral Appliance System (SOAS) which can monitor physiological signals and thus be helpful for treatment and diagnosis of sleep apnea. The SOAS is embedded with sensors and circuits. We use UMC 1P6M 0.18 μm standard CMOS process to realize our designed signal sensing system. It has internal circuits including analog front end (AFE), analog-to-digital converter (ADC), digital signal processing (DSP) circuit, power management unit (PMU) circuit and wireless transmitter. I am responsible of the digital circuits. In addition to monitoring physiological signals, it includes a snore sound and apnea detector given that snoring is a major sign of apnea. Besides, all the information will be written to EEPROM to help diagnosis and treatment. Other circuits are designed by seniors and schoolmates in our laboratory. Together, we build up the SOAS system-on-chip (SOC). We also use STM32F4 Discovery board and Matlab to implement a more robust snore sound detection based on Support Vector Machine (SVM) and sound recognition techniques.
Subjects
Snoring Sound
System-on-Chip
Sound Recognition
Type
thesis