A power-efficient modular wireless platform has been designed for prototyping and pre-clinical evaluations of neural recording implants. This Kit for Designing Implants (KDI) is separated in function specific modules ...
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ISBN:
(纸本)9781424492701
A power-efficient modular wireless platform has been designed for prototyping and pre-clinical evaluations of neural recording implants. This Kit for Designing Implants (KDI) is separated in function specific modules of 34x34mm which can be assembled as needed. This paper presents the design of new modules for this existing wireless KDI platform. These modules cover the functionalities of electrical stimulation for BCI neurofeedback, impedance spectroscopy for monitoring tissue reaction around implanted electrodes and a real-time lossless data compression algorithm for ECoG signals. This algorithm has been implemented using two different hardware solutions and its performances compared. The design and evaluation of these modules are a first step towards the inclusion of these functionalities into the next generation of WIMAGINE (R) implants.
In bridge inspection using wireless technology, the sensor node carries very limited energy. In this paper, datacompression technology to reduce the amount of communication data by sacrificing data accuracy is introd...
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In bridge inspection using wireless technology, the sensor node carries very limited energy. In this paper, datacompression technology to reduce the amount of communication data by sacrificing data accuracy is introduced. The lossless data compression algorithm was chosen as the algorithm of the bridge inspection system, and the algorithm was further improved. In addition, we compared the compression rates and execution times of the Huffman, Lempel-Ziv- Storer-Szymanski (LZSS), and improved Lempel-Ziv-Welch (LZW) algorithms. The results showed that the improved LZW algorithm is highly adaptable, accommodates any type of input data, and can make full use of the repeatability of data. Therefore, this lossless data compression algorithm is suitable for application in the wireless sensor networks of bridge inspection systems.
An efficient technique for progressive losslesscompression of volumetric data is described. It is based on the quadtree data structure and exploits the expected similarities between the neighboring slices. The propos...
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An efficient technique for progressive losslesscompression of volumetric data is described. It is based on the quadtree data structure and exploits the expected similarities between the neighboring slices. The proposed approach has better compression ratio than the octree method. A small amount of memory is required since only two slices need to be located in the memory at a time, which makes it suitable for hardware implementation. A built-in compression in volumetric scanners could considerably reduce the transfer and storage requirements for volumetric medical data.
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