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内镜胶囊数据传输模块调制优化方案

Optimization Scheme for Modulation of Data Transmission Module in Endoscopic Capsule.

作者信息

Miao Meiyuan, Ye Chen, Xu Zhiping, Zhao Laiding, Yao Jiafeng

机构信息

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.

出版信息

Sensors (Basel). 2025 Jul 31;25(15):4738. doi: 10.3390/s25154738.

DOI:10.3390/s25154738
PMID:40807903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349479/
Abstract

The endoscopic capsule is a miniaturized device used for medical diagnosis, which is less invasive compared to traditional gastrointestinal endoscopy and can reduce patient discomfort. However, it faces challenges in communication transmission, such as high power consumption, serious signal interference, and low data transmission rate. To address these issues, this paper proposes an optimized modulation scheme that is low-cost, low-power, and robust in harsh environments, aiming to improve its transmission rate. The scheme is analyzed in terms of the in-body channel. The analysis and discussion for the scheme in wireless body area networks (WBANs) are divided into three aspects: bit error rate (BER) performance, energy efficiency (EE), and spectrum efficiency (SE), and complexity. These correspond to the following issues: transmission rate, communication quality, and low power consumption. The results demonstrate that the optimized scheme is more suitable for improving the communication performance of endoscopic capsules.

摘要

内窥胶囊是一种用于医学诊断的小型化设备,与传统的胃肠内窥镜检查相比,其侵入性较小,可减轻患者的不适。然而,它在通信传输方面面临挑战,如高功耗、严重的信号干扰和低数据传输速率。为了解决这些问题,本文提出了一种优化的调制方案,该方案成本低、功耗低且在恶劣环境下具有鲁棒性,旨在提高其传输速率。该方案针对体内信道进行了分析。在无线体域网(WBAN)中对该方案的分析和讨论分为三个方面:误码率(BER)性能、能量效率(EE)和频谱效率(SE)以及复杂度。这些分别对应以下问题:传输速率、通信质量和低功耗。结果表明,优化后的方案更适合提高内窥胶囊的通信性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/6d540e77f24d/sensors-25-04738-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/7d26aa198ae5/sensors-25-04738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/f6c30b0f50b9/sensors-25-04738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/ba81267733f6/sensors-25-04738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/7f843c715ff2/sensors-25-04738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/da89fe15ba87/sensors-25-04738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/6d540e77f24d/sensors-25-04738-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/7d26aa198ae5/sensors-25-04738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/f6c30b0f50b9/sensors-25-04738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/ba81267733f6/sensors-25-04738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/7f843c715ff2/sensors-25-04738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/da89fe15ba87/sensors-25-04738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f5/12349479/6d540e77f24d/sensors-25-04738-g006.jpg

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本文引用的文献

1
Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.人工智能辅助胶囊内镜与传统胶囊内镜在小肠病变检测中的比较:一项系统评价和荟萃分析
J Gastroenterol Hepatol. 2025 May;40(5):1105-1118. doi: 10.1111/jgh.16931. Epub 2025 Mar 13.
2
Intelligent Wireless Capsule Endoscopy for the Diagnosis of Gastrointestinal Diseases.用于诊断胃肠道疾病的智能无线胶囊内镜
Diagnostics (Basel). 2023 Apr 17;13(8):1445. doi: 10.3390/diagnostics13081445.