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A data monitoring committee (DMC) is a group of clinicians and biostatisticians appointed by study sponsors who provide independent assessment of the safety, scientific validity and integrity of clinical trials. In the United States, the Food and Drug Administration requires the formation of DMC in all trials that assess new interventions. DMC are also strongly recommended in other clinical studies that have substantial safety issues, that have double-blind treatment assignment or that are expected to have a major impact on clinical practice. They are important in clinical research in psychiatry because they provide an added layer of protection for the vulnerable populations that are often enrolled in such studies. This report describes the role, formation and operation of DMC.数据监测委员会是由研究赞助者指定的一组临床医生和生物统计学家，对临床试验的安全性、科学有效性和完整性进行独立评估。在美国，食品和药物管理局要求在评估所有新的干预时在要成立数据监测委员会。在其他临床研究中，如果存在重大的安全问题、实施双盲治疗分配或者预期对临床实践会产生重大影响，也强烈建议成立数据监测委员会。因为数据监测委员会对经常参加此类研究的弱势群体提供了一层额外的保护，所以他们在精神病学临床研究中是非常重要的。本报告描述了数据监测委员会的作用，组建和运作.

Sleep bruxism is an oromotor parafunction characterized by clenching or grinding the teeth during sleep time that can lead to severe dental attrition, muscle hypertrophy, headaches and migraines,and even dental destruction. Research has estimated a common prevalence rate of bruxism at 8% to 10% among adults and 10% to 50% among children. While researchers have several ways of diagnosing and monitoring bruxism, accurate methods such as polysomnography are either too expensive or invasive for long term studies, while other methods of assessment such as surveys and clinical examinations can sometimes lead to inaccurate assessments. Carra et al noted that the future direction for sleep bruxism assessment would be to develop a handy tool that can directly, reliably, and rapidly measure ongoing sleep bruxism activity and that can be used in both clinical (for diagnosis, treatment outcome evaluation, and follow-up) and research settings [10]. Having a device that enables patients and researchers to track duration and frequency of sleep bruxism on a wider scale will be helpful both in gathering a greater population of data for research and for individuals who want to monitor their own condition. While recent developments of devices such as the Grindcare® and BiteStrip® have made it more affordable for individuals to diagnose and monitor bruxism, their sole reliance on EMG for diagnosis reduces the accuracy of assessment. In this thesis, we examine the possibility of developing an application for mobile phones to help diagnose and monitor sleep bruxism using three channels: audio, video, and electromyography (EMG). Through the use of the channels, we were able to capture sleep bruxism activity throughout the night. In addition, we found evidence that EMG and audio activity follow similar consistent patterns which may indicate that audio signals may potentially be used in lieu of EMG, reducing invasiveness. Our application has the potential to become easily accessible and affordable, allowing individual consumers and researchers to accurately measure bruxism activity