Wireless image-data transmission from an implanted image sensor through a living mouse brain by intra body communication

Hayami, Hajime; Takehara, Hiroaki; Nagata, Kengo; Haruta, Makito; Noda, Toshihiko; Sasagawa, Kiyotaka; Tokuda, Takashi; Ohta, Jun

doi:10.7567/jjap.55.04em03

Cited by 9 publications

(17 citation statements)

References 31 publications

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“…It is resilient to frequency misalignment for short-distance communication due to the carrier tracking technique. A concept of transmitting IBC signals through a mouse or rat brain was reported and tested in vivo in [199][200][201], while no effect on normal neural activities was noticed.…”

Section: Ibc Systems Developed In Cmos Technologymentioning

confidence: 99%

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Past Results, Present Trends, and Future Challenges in Intrabody Communication

Naranjo-Hernández

Callejón-Leblic

Vasić

et al. 2018

Wireless Communications and Mobile Computing

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Intrabody communication (IBC) is a wireless communication technology using the human body to develop body area networks (BANs) for remote and ubiquitous monitoring. IBC uses living tissues as a transmission medium, achieving power-saving and miniaturized transceivers, making communications more robust against external interference and attacks on the privacy of transmitted data. Due to these advantages, IBC has been included as a third physical layer in the IEEE 802.15.6 standard for wireless body area networks (WBANs) designated as Human Body Communication (HBC). Further research is needed to compare both methods depending on the characteristics of IBC application. Challenges remain for an optimal deployment of IBC technology, such as the effect of long-term use in the human body, communication optimization through more realistic models, the influence of both anthropometric characteristics and the subject's movement on the transmission performance, standardization of communications, and development of small-size and energy-efficient prototypes with increased data rate. The purpose of this work is to provide an indepth overview of recent advances and future challenges in human body/intrabody communication for wireless communications and mobile computing.

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Section: Ibc Systems Developed In Cmos Technologymentioning

confidence: 99%

“…Similar research on wireless image data transmission through a mouse's brain was reported in [200] and called wireless intrabrain communication (WIBCOM) method. Another demonstration of wireless data transmission through a mouse's brain by intrabody communication employed an implantable microsized image sensor [201].…”

Section: Ibc In Medicinementioning

confidence: 99%

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Naranjo-Hernández

Callejón-Leblic

Vasić

et al. 2018

Wireless Communications and Mobile Computing

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“…Used for row transform and column transform scrambling sequences, respectively [ 18 , 19 , 20 ]. The following data is the first 20 numbers of the Fibonacci-2 ( i = 1) transformation generated according to Equation (10).…”

Section: Improved Image Scrambling Algorithm Based On Fibonacci- mentioning

confidence: 99%

The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Dong

Wu²,

Yang³

2018

Sensors

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With the deepening of modern military reforms, information has become the key to winning modern warfare. The use of unmanned aerial vehicle (UAV) to capture image information has become an important means of reconnaissance in modern warfare and plays an irreplaceable role. The image information usually uses a wireless image transmission system, since image information is intercepted or stolen easily during the information transmission, encrypting an image is a common method for ensuring image security. However, traditional encryption algorithms have some deficiencies in terms of efficiency and security. In order to overcome these shortcomings, a new algorithm is proposed in this paper-an improved image scrambling encryption algorithm based on Fibonacci-p coding. The first new idea of the algorithm is to separate the positive and negative signs and data of the scrambled DCT coefficients, then form the symbol matrix and the data matrix respectively, perform the scrambling encryption operation on the symbol matrix. The second new idea is to encrypt the color RGB image by converting the R, G, and B colors into Y, Cb, and Cr, and converting the normal image operation into operations on Y, Cb, and Cr, thereby implementing the encryption operation. The comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

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“…Promising and viable communication strategies have been reported, such as intra-body communication (IBC) [46,47] and ultrasound (US) [48]. The first consists on using biological tissue of the system's host as a conductive medium for electrical signals conveying data.…”

Section: Communicationsmentioning

confidence: 99%

Recent Advances on Implantable Wireless Sensor Networks

Dinis¹,

Mendes²

2017

Wireless Sensor Networks - Insights and Innovations

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Implantable electronic devices are undergoing a miniaturization age, becoming more efficient and yet more powerful as well. Biomedical sensors are used to monitor a multitude of physiological parameters, such as glucose levels, blood pressure and neural activity. A group of sensors working together in the human body is the main component of a body area network, which is a wireless sensor network applied to the human body. In this chapter, applications of wireless biomedical sensors are presented, along with state-of-the-art communication and powering mechanisms of these devices. Furthermore, recent integration methods that allow the sensors to become smaller and more suitable for implantation are summarized. For individual sensors to become a body area network (BAN), they must form a network and work together. Issues that must be addressed when developing these networks are detailed and, finally, mobility methods for implanted sensors are presented.

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Wireless image-data transmission from an implanted image sensor through a living mouse brain by intra body communication

Cited by 9 publications

References 31 publications

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Past Results, Present Trends, and Future Challenges in Intrabody Communication

The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Recent Advances on Implantable Wireless Sensor Networks

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