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Swallowable biotelemetry device for analysis of Irritable Bowel Syndrome

机译:用于分析肠易激综合征的可吞咽生物遥测设备

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Swallowable capsule with wireless data transferring enables diagnostic of whole gastrointestinal track (GI) without invasive surgical operation. The capsule travels through GI driven by natural perilstatics. Sensors in the capsule can collect data and send them wirelessly to a receiver outside of the body. Irritable Bowel Syndrome (IBS) is a common functional disease in western society. The objective of this research is to develop a capsule system that automatically diagnoses IBS. The capsule includes two sensors: a 3D-accelerometer and a microphone. Both sensors can measure the vibration of the environment. The capsule has been tested in side of living pigs. The signals of peristaltic motion and sounds in the bowel are collected onboard and sent to outside of the body for analysis. The analysis is composed of three steps: filtering and data segmentation, feature extraction, and classification. The measurement data is firstly denoised using a wavelet filter. Then the filtered data is segmented and events (such as sounds) are separated. Features such as dominant frequency, zero-crossing rate, and sub-band energy are extracted from the segmented data. After that, the extracted features are classifiled by neural networks.
机译:可吞咽的胶囊具有无线数据传输功能,无需进行外科手术即可诊断整个胃肠道(GI)。胶囊通过自然镇静剂驱动的胃肠道传播。胶囊中的传感器可以收集数据并将其无线发送到体外的接收器。肠易激综合症(IBS)是西方社会常见的功能性疾病。这项研究的目的是开发一种可以自动诊断IBS的胶囊系统。胶囊包含两个传感器:一个3D加速度计和一个麦克风。两个传感器都可以测量环境的振动。该胶囊已在活猪侧面进行了测试。肠内蠕动信号和声音被收集到船上并发送到体外进行分析。分析包括三个步骤:过滤和数据分割,特征提取和分类。首先使用小波滤波器对测量数据进行去噪。然后,将过滤后的数据进行分段,并分离事件(例如声音)。从分段数据中提取诸如主频,过零率和子带能量之类的特征。之后,通过神经网络对提取的特征进行分类。

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