Development of a simple dosimeter for Bluetooth

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K10326
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: Gunma Paz University
• Principal Investigator: Saito Hiroki 群馬パース大学, 医療技術学部, 准教授 (00849341)
• Co-Investigator(Kenkyū-buntansha): 根岸 徹 東京都立大学, 人間健康科学研究科, 准教授 (00259144) ; 小倉 泉 東京都立大学, 人間健康科学研究科, 客員教授 (50204160)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 診断用X線装置 / 半導体線量計 / フォトダイオード / Bluetooth / ESP32 WROOM-32 / Web Bluetooth API

Outline of Final Research Achievements

We used Bluetooth to develop a simple dosimeter for reducing its cost and improving its operability. While several semiconductor dosimeters using radio communication have been developed in the past, these devices first store all the X-ray signals in the memory inside the measurement device and then transmit them through Wi-Fi or Bluetooth, which increases the cost of the device. To reduce costs, our device does not use a memory. Instead, we attempted a method wherein the ionization current from the photodiode is converted into voltage, which is then converted into analog/digital (AD) and transmitted through Bluetooth.
In this study, we have developed a Bluetooth-compatible simple dosimeter (BCSD) using previously reported simple dosimeter. Furthermore, the reliability of Bluetooth communication is evaluated.

Free Research Field

医療管理学および医療系系社会学関連

Academic Significance and Societal Importance of the Research Achievements

Bluetoothを活用し簡易形線量計を開発した．製造業などで利用されている多くのBluetoothの方法は，1時間おき，または1日おきなど測定インターバルが長い．診断用放射線領域のように，短時間（数ms）のパルス応答に対して，Bluetoothが適応できるのなら，診断用X線装置におけるIoTが実現でき，診断用X線装置管理の自動化されビッグデータを活用したAIによる故障予測が実現される．