Mizumori Takahiro, Inano Shinji, Sumiya Masakazu, Kobayashi Yasuyoshi, Watamoto Takao, Yatani Hirofumi
Department of Fixed Prosthodontics, Osaka University Graduate School of Dentistry, Suita, Osaka, Japan.
J Prosthodont Res. 2009 Jul;53(3):150-4. doi: 10.1016/j.jpor.2009.01.001. Epub 2009 May 22.
The aim of this study was to develop an ambulatory bruxism recording system capable of sleep-stage analysis.
A portable EMG system was used to record masseter muscle activity. An EMG sensor was attached onto the masseter muscle belly at either side. EMG data were stored on a notebook type personal computer. A sound level meter was used to assess the sound level of bruxism. Sound level (dB) readings were taken every second and recorded on the same computer. A prototype of sleep sensor, a wristwatch-style biological signal sensor-recorder device, recorded and stored pulse wave, acceleration and temperature on a memory card. All stored data were transferred to a personal computer and analyzed.
The whole system was transportable within a protective case and weighed approximately 5kg. Raw EMG signals were processed to derive integrated EMG data. TOSHIBA Sleep Analysis Program classified sleep-stages as awake, shallow sleep, deep sleep and REM based on the activity of the autonomic nervous system that was estimated from the fluctuations of pulse intervals. An EMG, sound level and sleep-stage analysis program was developed to analyze all data simultaneously. Using this program, the masseter muscle activity, sound level and sleep-stage could be quantified and correlated.
We developed an ambulatory bruxism recording system that analyzes sleep-stage. We expect that this system will enable us to measure sleep bruxism activity in each sleep-stage on an electromyographical and auditory basis at the subject's home.
本研究旨在开发一种能够进行睡眠阶段分析的动态磨牙记录系统。
使用便携式肌电图（EMG）系统记录咬肌活动。将一个EMG传感器附着在两侧的咬肌肌腹上。EMG数据存储在笔记本型个人计算机上。使用声级计评估磨牙的声级。每秒读取声级（dB）读数并记录在同一台计算机上。睡眠传感器的原型，一种手表式生物信号传感记录设备，将脉搏波、加速度和温度记录并存储在存储卡上。所有存储的数据都被传输到个人计算机并进行分析。
整个系统可装在一个保护箱内携带，重量约为5千克。对原始EMG信号进行处理以得出积分EMG数据。东芝睡眠分析程序根据从脉搏间隔波动估计的自主神经系统活动，将睡眠阶段分类为清醒、浅睡眠、深睡眠和快速眼动（REM）。开发了一个EMG、声级和睡眠阶段分析程序来同时分析所有数据。使用该程序，可以对咬肌活动、声级和睡眠阶段进行量化并建立相关性。
我们开发了一种能够分析睡眠阶段的动态磨牙记录系统。我们期望该系统将使我们能够在受试者家中，基于肌电图和听觉基础上测量每个睡眠阶段的睡眠磨牙活动。
