Reducing Power Consumption of Wireless Capsule Endoscopy Utilizing Compressive Sensing Under Channel Constraint

Oka Danil Saputra; Fahri Wisnu Murti; Mohammad Irfan; Nadea Nabilla Putri; Soo Young Shin

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자료유형: 학술저널

저자정보: Oka Danil Saputra (Neural Technologies) Fahri Wisnu Murti (Kumoh National Institute of Technology) Mohammad Irfan (Institut national de la recherche scientifique) Nadea Nabilla Putri (Ikonsultan Inovatama) Soo Young Shin (Kumoh National Institute of Technology)

저널정보: 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.16 No.2

발행연도: 2018.6

수록면: 130 - 134 (5page)

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이 논문의 연구 히스토리 (3)

2018

Reducing Power Consumption of Wireless Capsule Endoscopy Utilizing Compressive Sensing Under Channel Constraint

Oka Danil Saput , a , Fah 외 7명 Journal of information and communication convergence engineering 2018.06 학술저널

2015

Image Reconstruction and Data Transmission in Wireless Capsule Endoscopy System

Oka Danil Saput , a , Soo Young Shin 한국통신학회 학술대회논문집 2015.06 학술대회자료

Parametric Study on Signal Reconstruction in Wireless Capsule Endoscopy using Compressive Sensing Algorithm

Oka Danil Saput , a , 신수용 한국통신학회 학술대회논문집 2015.01 학술대회자료

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Wireless capsule endoscopy (WCE) is considered as recent technology for the detection cancer cells in the human digestive system. WCE sends the captured information from inside the body to a sensor on the skin surface through a wireless medium. In WCE, the design of low-power consumption devices is a challenging topic. In the Shannon-Nyquist sampling theorem, the number of samples should be at least twice the highest transmission frequency to reconstruct precise signals. The number of samples is proportional to the power consumption in wireless communication. This paper proposes compressive sensing as a method to reduce power consumption in WCE, by means of a trade-off between samples and reconstruction accuracy. The proposed scheme is validated under channel constraints, expressed as the realistic human body path loss. The results show that the proposed scheme achieves a significant reduction in WCE power consumption and achieves a faster computation time with low signal error reconstruction.

#Compressive sensing #Path loss #Power consumption #Wireless capsule endoscopy

참고문헌 (6)

참고문헌 신청

[학술지(정기간행물)] - G. Ciuti / 2011 / Capsule endoscopy: from current achievements to open challenges / IEEE Reviews in Biomedical Engineering 4 : 59 ~ 72

[학술지(정기간행물)] - M. A. Al-Rawhani / 2013 / Design and implementation of a wireless capsule suitable for autofluorescence intensity detection in biological tissues / IEEE Transactions on Biomedical Engineering 60 (1) : 55 ~ 62

[학술지(정기간행물)] - D. L. Donoho / 2006 / Compressed sensing / IEEE Transactions on Information Theory 52 (4) : 1289 ~ 1306

[학술지(정기간행물)] - L. Niu / 2016 / Fusion for medical images based on shearlet transform and compressive sensing model / International Journal of Signal Processing, Image Processing and Pattern Recognition 9 (4) : 1 ~ 10

[인터넷자원] - K.Y. Yazdandoost / / Channel model for body area network (BAN)

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