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Masters Thesis | Electronics & Communication Engineering | India | Volume 11 Issue 7, July 2022
Anesthesia Machine Control Using Raspberry Pi
Aashika R | K. V. Mahendra Prashanth
Abstract: Any surgical procedure requires the administration of anaesthesia to the patient. The patient won't feel any pain while receiving treatment thanks to the anaesthesia. The necessary time intervals are provided since the anaesthetic effect should be there regardless of how long the procedure takes. What occurs if it is not provided at the appointed time? Significant health issues will result. In order to prevent such unfavorable occurrences, this project was created to build an automated anaesthetic controller using a Raspberry Pi. The anaesthetist can choose how much anaesthesia to provide to the patient. The operation may be started by the anaesthetist using the switch panel, and once the Raspberry Pi receives the signal, it takes control of the complete setup by telling the motor driver to turn on the motors and start the anaesthetic infusion. As a little quantity of anaesthesia is administered into the patient's body, his or her heartbeat, temperature, oxygen saturation level, and body moisture state will be checked. It will determine whether or not the heartbeat count is normal after the injection. If everything appears to be in order, the second medication dose will be given. The administration shall be stopped and the doctor informed if any irregularities are detected by the medical parameters. Only until things have stabilized will the administration continue. Only once everything has restored to normal will the administration continue.
Keywords: Anesthesia, Raspberry Pi, Heartrate, Temperature, SPO2, Body Wetness, infusion
Edition: Volume 11 Issue 7, July 2022,
Pages: 276 - 279
How to Cite this Article?
Aashika R, K. V. Mahendra Prashanth, "Anesthesia Machine Control Using Raspberry Pi", International Journal of Science and Research (IJSR), Volume 11 Issue 7, July 2022, pp. 276-279, https://www.ijsr.net/get_abstract.php?paper_id=SR22702135924
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