Internet of Things For Surgery Process Using Raspberry Pi

Author:

Yanni Rafeek Mamdouh Tawfiq,El-Bakry Hazem M.,Riad Alaa,El-Khamisy Nashaat

Abstract

<p>The development of the internet of things makes all objects interconnected, making it the next technical revolution. It has been applied extensively in various sectors, including agriculture, smart parking, and industrial places, and most importantly, in the health monitoring process.[1] To monitor or its application in surgery procedure is one of its uses in healthcare. This project proposes a system aimed to solve sudden occurrences and emergencies during the operation process. The system's objective is to minimize deaths and other possible effects of the phenomena by connecting the surgeon with an online specialist all over the world. The proposed system architecture is based on medical sensors measuring the patient's physical parameters utilizing wireless sensor networks. The sensors send the parameters to the Raspberry Pi, which converts them to digital data. The digital data is transferred over the wireless network to the server, which is then sent to the cloud environment using the internet of things. Additionally, In case of any problem, the system works by sending the surgeon a voice signal to open the system and record the message and send it with the video that was recorded by the Raspberry pi cameras through the server to all the surgeons involved in the system through the Internet of things all over the world. Then the surgeons from across the globe communicate according to his specialty of assistant surgeon to communicate with the surgeon inside the operating room through headset and microphone.</p>

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP;International Journal of Online and Biomedical Engineering (iJOE);2024-05-06

2. Pre-Trained Lightweight Deep Learning Models for Surgical Instrument Detection: Performance Evaluation for Edge Inference;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. Selection of Protocols for Integration of Sensory Data Networks in Cloud Structures;International Journal of Online and Biomedical Engineering (iJOE);2022-07-11

4. A Smarter Health through the Internet of Surgical Things;Sensors;2022-06-17

5. Fibonacci Multichaos Algorithm for Medical Image Encryption for Transmission Through Wavelet Transform Based OFDM System and Its VLSI Realization;International Journal of Online and Biomedical Engineering (iJOE);2022-05-17

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