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The proliferation of radio frequency (RF) communication technology in biomedical signal transmission is frequently flustered by electromagnetic interference. Even though the flexibility and mobility of RF-based communication have much attraction, the radiation brings damage to hospital equipments and even harm to humans. In this letter, we propose a novel scheme for transmission of electroencephalography (EEG) biomedical signal using a visible light communication (VLC) link. The data transmission is performed in line of sight (LOS) condition using ON-OFF keying nonreturn-to-zero modulation by utilizing all three components, red, green, and blue, of RGB LED. Experiments are carried out for transmitting EEG signals using the VLC link. The transmitter consists of RGB LEDs, and at the receiver side, three photodiodes with red, green, and blue color filters are installed. The experimental results show excellent reliability and accuracy of the proposed scheme.

In this paper, a patient mobility support scheme for indoor non-directed optical body area networks (OBAN) is presented. The OBAN is an optical healthcare system where medical sensors are installed on various parts of the patient’s body and are connected to an optical coordinator for transmitting the physiological signals via optical wireless links. In the proposed scheme, a white light-emitting diode (LED) was employed as the optical coordinator that was mounted on the patient body, while a photodetector (PD) was used as the receiver installed at the ceiling. We considered three practical mobility scenarios in terms of the location of the coordinator: (i) Shoulder, (ii) wrist, and (iii) both shoulder and wrist. The analytical channel model for multiple reflections in a non-directed OBAN was developed and validated in the form of simulations. In addition, experiments were carried out to verify the effectiveness of the proposed mobility scheme. It was found that the third scenario (shoulder and wrist) performed best, showing a bit error rate (BER) of 1.2 × 10−6 at a distance of 1.25 m. The experimental results demonstrated that the proposed mobility support scheme in the OBAN added an additional degree of freedom to patients with reliable performances.

The proliferation of radio frequency communication technology in biomedical signal transmission is frequently flustered by electromagnetic interference (EMI). The impact of EMI radiation has the consequences of the reduction in accuracy and reliability. Even though its flexibility and mobility have wide attraction, the radiation brings damage to hospital equipment and even harm to the humans. Biomedical signals such as Electroencephalography (EEG) are most utilized signals, which measures the electrical brain rhythms and has huge capability to identify or determine the cause of diseases. In this paper, we propose a EEG signal transmission system using visible light communication. We employ On-Off Keying (OOK) modulation scheme for transmitting the data and RGB LEDs and photodiodes are used for uplink transmission. Computer simulations are carried out using 10 channels of raw EEG signals with the precision of signal values mainly focused. The results demonstrate that it achieves a Bit Error Rate (BER) better than 1.5x10 −5 at a Signal to Noise Ratio (SNR) value of 7 dB, thus exhibiting robust reliability and accuracy compared with conventional transmission methods.