NDLI: Low-power electroencephalography sensing data RF transmission: hardware architecture and test

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Low-power electroencephalography sensing data RF transmission: hardware architecture and test

Content Provider	ACM Digital Library
Author	Finamore, Jonathan Phillips, Daniel Hu, Fei Hao, Qi McGarvey, Zachary Pontillo, Daniel F. Bhutani, Ankit Wu, Yao Qiu, Meikang Frye, John
Abstract	Electroencephalography (EEG) has been used as a method of diagnosis and observation for patients with seizure disorders. However, it is often difficult to collect reliable and accurate data due to the relatively sensitive nature of most EEG hardware. This research is to construct an EEG acquisition system and interface it with a Wireless Sensor Network. The analog EEG portion was designed, built and found to pass all of the required tests. The signal processing digital board and wireless EEG transmission software were verified as functionally sufficient. On the other hand, the patients' privacy needs to be protected. It is very challenging to develop an EEG transmission security mechanism in a battery-driven, tiny EEG sensor with very limited memory. We have built an extremely low-overhead EEG signal encryption/decryption protocol based on low-complex NTRU cryptography.
Starting Page	57
Ending Page	62
Page Count	6
File Format	PDF
ISBN	9781605585246
DOI	10.1145/1540373.1540389
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-05-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Electroencephalography (eeg) sensors Hardware design Sensor networks Wireless network
Content Type	Text
Resource Type	Article

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