Swallowable-Capsule Technology

McCaffrey, Colm; Chevalerias, Olivier; O’Mathuna, Cian; Twomey, Karen

doi:10.1109/mprv.2008.17

Cited by 161 publications

(60 citation statements)

References 5 publications

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“…A suitable procedure will be determined and statistical signal processing and data interpretation methods will be developed to extract the important information from the raw data. Future work on device design will concentrate on two directions, the development of integrated microelectrode array devices using microfabrication techniques [18], for in vitro measurements, and the development of a strategy for integration of these electrodes into a swallowable capsule [23][24][25][26][27][28]. In the development of the microelectrode array, different dimensions will be investigated including micro-and nanoelectrode range, and an optimum design chosen.…”

Section: Resultsmentioning

confidence: 99%

Characterization of the Electrochemical Behavior of Gastrointestinal Fluids Using a Multielectrode Sensor Probe

Twomey

Eulate

Marchesi

et al. 2011

IEEE Trans. Biomed. Eng.

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Section: Resultsmentioning

confidence: 99%

Characterization of the Electrochemical Behavior of Gastrointestinal Fluids Using a Multielectrode Sensor Probe

Twomey

Eulate

Marchesi

et al. 2011

IEEE Trans. Biomed. Eng.

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“…Although the history of ingestible capsules for sensing purposes goes surprisingly back to 1957, it was the semiconductor revolution of the 1990s that created a rush in the development of miniaturized devises performing detailed sensing and signal processing inside the body [33]. Among the latest achievements in this regard is wireless capsule endoscopy, which aims at providing visual recordings of the human digestive track.…”

Section: Wireless Capsule Endoscopymentioning

confidence: 99%

“…The encoder stores the accumulated syndrome bits in a buffer and transmits them incrementally upon the decoder's request using a feedback channel, as explained in Section 4.2.3. Note that contemporary wireless (implantable) sensors-including capsule endoscopes-support bidirectional communication [33,37,38]. That is, a feedback channel from the encoder to the decoder is a viable solution for the pursued applications.…”

Section: Wyner-ziv Encodingmentioning

confidence: 99%

Wyner-Ziv video coding for wireless lightweight multimedia applications

Deligiannis

Verbist

Iossifides

et al. 2012

J Wireless Com Network

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Wireless video communications promote promising opportunities involving commercial applications on a grand scale as well as highly specialized niche markets. In this regard, the design of efficient video coding systems, meeting such key requirements as low power, mobility and low complexity, is a challenging problem. The solution can be found in fundamental information theoretic results, which gave rise to the distributed video coding (DVC) paradigm, under which lightweight video encoding schemes can be engineered. This article presents a new hashbased DVC architecture incorporating a novel motion-compensated multi-hypothesis prediction technique. The presented method is able to adapt to the regional variations in temporal correlation in a frame. The proposed codec enables scalable Wyner-Ziv video coding and provides state-of-the-art distributed video compression performance. The key novelty of this article is the expansion of the application domain of DVC from conventional video material to medical imaging. Wireless capsule endoscopy in particular, which is essentially wireless video recording in a pill, is proven to be an important application field. The low complexity encoding characteristics, the ability of the novel motion-compensated multi-hypothesis prediction technique to adapt to regional degrees of temporal correlation (which is of crucial importance in the context of endoscopic video content), and the high compression performance make the proposed distributed video codec a strong candidate for future lightweight (medical) imaging applications.

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“…Given Imaging Company released the first commercialized WCE, which could be easily swallowed by patients [2]. Some other types of CEs, introduced by Olympus, Pentax, and Siemens, are also on the market [3,4]. These capsules consist of a tiny image sensor with LED-based illumination, a processing and controlling unit, a RF transmitter, and small batteries.…”

Section: Introductionmentioning

confidence: 99%

A complexity-efficient and one-pass image compression algorithm for wireless capsule endoscopy

Liu¹,

Yan²,

Zhao³

et al. 2015

THC

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Abstract. BACKGROUND:As an important part of the application-specific integrated circuit (ASIC) in wireless capsule endoscopy (WCE), the efficient compressor is crucial for image transmission and power consumption. OBJECTIVE: In this paper, a complexity-efficient and one-pass image compression method is proposed for WCE with Bayer format images. The algorithm is modified from the standard lossless algorithm (JPEG-LS). METHODS: Firstly, a causal interpolation is used to acquire the context template of a current pixel to be encoded, thus determining different encoding modes. Secondly, a gradient predictor, instead of the median predictor, is designed to improve the accuracy of the predictions. Thirdly, the gradient context is quantized to obtain the context index (Q). Eventually, the encoding process is achieved in different modes. RESULTS: The experimental and comparative results show that our proposed near-lossless compression method provides a high compression rate (2.315) and a high image quality (46.31 dB) compared with other methods. CONCLUSION: It performs well in the designed wireless capsule system and could be applied in other image fields.

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Swallowable-Capsule Technology

Cited by 161 publications

References 5 publications

Characterization of the Electrochemical Behavior of Gastrointestinal Fluids Using a Multielectrode Sensor Probe

Characterization of the Electrochemical Behavior of Gastrointestinal Fluids Using a Multielectrode Sensor Probe

Wyner-Ziv video coding for wireless lightweight multimedia applications

A complexity-efficient and one-pass image compression algorithm for wireless capsule endoscopy

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