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一种用于连续实时腹腔内压力监测的可摄入式电子设备。

An Ingestible Electronics for Continuous and Real-Time Intraabdominal Pressure Monitoring.

作者信息

Liao Chien-Hung, Cheng Chi-Tung, Chen Chih-Chi, Jow Uei-Ming, Chen Chun-Hung, Lai Yen-Liang, Chen Ya-Chuan, Ho Dong-Ru

机构信息

Department of Trauma and Emergency Surgery, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan.

Department of Rehabilitation and Physical Medicine, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan.

出版信息

J Pers Med. 2020 Dec 24;11(1):12. doi: 10.3390/jpm11010012.

Abstract

Abdominal compartment syndrome can be treated through decompressive surgery if intraabdominal hypertension (IAH) can be detected in time. Treatment delays due to manual, conventional intravesical pressure (IVP) monitoring using a Foley catheter have been reported. In this work, we present an innovative gastrointestinal intraluminal pressure (GIP) measurement-based method to monitor and improve pressure-guided relief of intraabdominal pressure (IAP). A novel algorithm for detecting IAH in the gastrointestinal tract of a live porcine model is reported. A wireless pressure-sensing capsule (10 × 13 mm) was developed for absolute measurement. The IAP was estimated during artificial pneumoperitoneum. The pressure waveform-based measurements indicated that the wireless pressure sensor could be used to predict IAP. To enhance GIP monitoring for predicting IAH, the proposed continuous ingestible wireless electronics-based pressure waveform measurement device can be used as a complement to existing modalities. The use of the proposed pressure measurement and communication technology can help provide valuable data for digital health platforms.

摘要

如果能及时检测到腹腔内高压(IAH),腹腔间隔室综合征可通过减压手术进行治疗。据报道,使用Foley导管进行手动、传统膀胱内压(IVP)监测会导致治疗延迟。在这项工作中,我们提出了一种基于创新的胃肠道腔内压力(GIP)测量的方法,用于监测和改善腹腔内压力(IAP)的压力引导缓解。报道了一种用于检测活猪模型胃肠道内IAH的新算法。开发了一种用于绝对测量的无线压力传感胶囊(10×13毫米)。在人工气腹期间估计IAP。基于压力波形的测量表明,无线压力传感器可用于预测IAP。为了加强GIP监测以预测IAH,所提出的基于连续可摄入无线电子设备的压力波形测量装置可作为现有模式的补充。所提出的压力测量和通信技术的使用有助于为数字健康平台提供有价值的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c5/7823632/5411da281a3b/jpm-11-00012-g001.jpg

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