VLC-based safe, low-cost, and accurate healthcare system for video EEG using colour constellation scheme

Dil Nashin Anwar; Anand Srivastava

doi:10.1117/12.2307342

17 May 2018 VLC-based safe, low-cost, and accurate healthcare system for video EEG using colour constellation scheme

Dil Nashin Anwar, Anand Srivastava

Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 1068549 (2018) https://doi.org/10.1117/12.2307342
Event: SPIE Photonics Europe, 2018, Strasbourg, France

Abstract

Visible light communication (VLC) has various advantages over radio frequency (RF) communication such as ubiquity, low energy consumption, no RF radiation, and inherently secure as light does not penetrate through walls. Significant bio-medical signals including the electroencephalography (EEG) can be transferred with VLC even in places where RF is forbidden. Additionally, long-term exposure to RF radiation poses a risk to the human brain which limits the use of RF wireless wearable EEG systems. This potential advantage of VLC could help in the indoor healthcare system such as monitoring. A long-term video-EEG monitoring requires continuous monitoring by video along-with EEG signals. So, overall a significant amount of data needs to be streamed fast for real-time monitoring. A novel low-cost RF radiation-free system is proposed using VLC technology which can be integrated into a wearable EEG device. In this work, we transmit a video and multi-channel EEG signal using visible light communication. Data streams are modulated using colour shift keying (CSK) which drives the RGB LED. CSK gives double the data rate than OOK by mapping bits into a symbol. It keeps the average emitted optical colour constant during communication, thereby reduces potential human health complication related to light ashes. The proposed system aims to lower down the cost and complexity further by using single photodiode at the receiver unlike conventional CSK in IEEE 802.15.7. The receiver architecture exploits channel estimation in a better way. Computer simulations are carried out using actual raw EEG signals and video data. Simulated and theoretical SER versus SNR curves match seamlessly. The results demonstrate that at 33 dB SNR, it achieves a SER of 1x10^-5. SER for different transmitter and receiver distance is also analysed. Further, the reliability and accuracy of data received at 33 dB is also discussed.

Citation Download Citation

Dil Nashin Anwar and Anand Srivastava "VLC-based safe, low-cost, and accurate healthcare system for video EEG using colour constellation scheme", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 1068549 (17 May 2018); https://doi.org/10.1117/12.2307342

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