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Open AccessArticle

Patient Mobility Support for Indoor Non-Directed Optical Body Area Networks

Department of Information and Communications Engineering, Pukyong National University, Busan 48513, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(10), 2297; https://doi.org/10.3390/s19102297
Received: 10 April 2019 / Revised: 13 May 2019 / Accepted: 16 May 2019 / Published: 18 May 2019
(This article belongs to the Section Optical Sensors)
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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. View Full-Text
Keywords: optical communications; light-emitting diodes; mobility; diversity optical communications; light-emitting diodes; mobility; diversity
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Dhatchayeny, D.R.; Arya, S.; Chung, Y.H. Patient Mobility Support for Indoor Non-Directed Optical Body Area Networks. Sensors 2019, 19, 2297.

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