Abstract

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.

Highlights

  • Rapid progression of healthcare technologies has been providing numerous benefits for human welfare and has improved the quality of health services provided to patients

  • wireless body area network (WBAN) is based on radio frequency (RF) technologies having wearable sensor devices mounted on the patient’s body that are capable of various functions such as sensing, processing, and communicating physiological signals [3,4]

  • We considered the optical body area networks (OBAN) mobility scenarios where a patient was equipped with an ECG

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Summary

Introduction

Rapid progression of healthcare technologies has been providing numerous benefits for human welfare and has improved the quality of health services provided to patients. These technologies aid doctors and medical professionals in monitoring patient health status in an incessant manner, and offer early detection, diagnosis, and monitoring of diseases that facilitate patients with optimal medical assistance [1,2]. One such promising candidate for healthcare monitoring is wireless body area network (WBAN). The RF transmission of some biomedical signals, such as electroencephalography (EEG), electrocardiography (ECG)

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