A Wirelss Wearable System to Measure Adherence to Mind-Body Study Protocols

描述(由申请人提供)：先进医疗电子公司建议开发一种无线可穿戴系统，以评估补充和替代医学(CAM)心身干预中对研究方案的遵守情况。拟议的系统将利用一套微型可穿戴运动传感器来表征肢体和躯干的运动，并将其与存储的参考配置文件进行比较，以评估对瑜伽、冥想姿势和太极等身体运动方案的遵守情况。数据将使用低功耗标准化数字无线个人局域网技术从可穿戴传感器实时收集。最近商用的低成本高精度微型运动跟踪传感器(加速计和陀螺仪)和标准化的个人区域网络技术使拟议的项目在目前技术上是可行的。多达七个小型无线传感器包可以佩戴在身体上，以收集运动和可选的其他生理参数，如心率、呼吸频率和血氧浓度。每个传感器位置的加速度和角速度传感信息被传输到手持式计算机或智能手机(集成了手机的手持式计算机)，在那里进行记录。个人区域网络技术，如蓝牙网络，现在是许多商用手持计算机和智能手机的标准。标准无线网络解决方案的使用将使研究人员能够投资于一套传感器，这些传感器将在未来许多年与新的便携式计算和手机设备兼容。记录的运动数据被自动处理并表征成可直接与脚本协议进行比较的识别姿势和运动序列的列表。从分析软件包自动生成报告，该报告呈现以记录的运动序列和脚本的运动序列之间的偏差数目的百分比表示的遵守指数。第二阶段项目将进一步开发传感器和软件，并进行人体研究。

DESCRIPTION (provided by applicant): Advanced Medical Electronics Corporation proposes to develop a wireless wearable system to assess adherence to study protocols in complementary and alternative medicine (CAM) mind-body interventions. The proposed system will utilize a suite of miniature wearable motion sensors to characterize limb and torso motion and compare it to stored reference profiles to evaluate adherence to body movement protocols such as yoga, meditation postures, and tai chi. Data will be collected in real time from wearable sensors using a low power standardized digital wireless personal area network technology. The recent commercial availability of low-cost high-precision miniature motion tracking sensors (accelerometers and gyroscopes) and standardized personal area networking technologies make the proposed project technically feasible at this time. Up to seven small wireless sensor packages may be worn on the body to collect motion and optionally other physiological parameters such as heart rate, respiration rate, and blood oxygen concentration. The acceleration and angular rate sensing information at each sensor location is transmitted to a handheld computer or smartphone (a handheld computer with integrated cell phone) where it is recorded. Personal area networking technologies, such as the Bluetooth network, are now standard in many commercially available handheld computers and smartphones. The use of a standard wireless networking solution will allow a researcher to invest in a set of sensors that will be compatible with new portable computing and cell phone devices for many years to come. Recorded motion data are automatically processed and characterized into a list of recognized poses and movement sequences that can be directly compared to a scripted protocol. A report is automatically generated from the analysis software package presenting an adherence index expressed as percentage of the number of deviations between the recorded and scripted movement sequences. The phase II project will further develop the sensors and software, and conduct a human study.