Impeccable Way of Administering Anesthesia using Brain Wave Sensor
S. Jagadeesh Babu1, D. S. Bhargava2, T. V. Padmavathy3, T. Blesslin Sheeba4

1S. Jagadeesh Babu, Assistant Professor, Department of ECE, R.M.K. Engineering College, India.

2D. S. Bhargava, Assistant Professor, Department of ECE, R.M.K Engineering College, India.

3T. V. Padmavathy, Professor, Department of ECE, R.M.K. Engineering College, India.

4Dr. T. Blesslin Sheeba, Professor, Department of ECE, R.M.K. Engineering College, India.

Manuscript received on 25 November 2019 | Revised Manuscript received on 06 December 2019 | Manuscript Published on 14 December 2019 | PP: 323-327 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10661191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1066.1191S19

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Abstract: In the hospitals, during major operation the patient should be anesthetized for pain free operation. Single dose anesthesia administration for prolonged operations may lead to complications. In case of insufficient anesthesia dose, the patient may feel pain and discomfort during operation. Therefore, there is need for an administration of exact dosage to the patient, at the particular time interval. An automatic anesthesia administering machine is proposed to overcome the crucial issues. The anesthesia should be given to patient in the correct dose at regular interval based on patient conscious state. The brainwave sensor is placed on the frontal side on the scalp. Brains action will be monitored constantly. When the patient gets deviated from the sleep state the correct level of anesthesia is injected by using servo motor by analyzing the brain activity. The microcontroller and brainwave sensor are interlinked using bluetooth module where the data are processed and sent to raspberry pi which gives commands to servo motor to pump the required amount of anesthesia to the patient. In addition to this heart rate and temperature of the individual are recorded.

Keywords: Arduino, Bluetooth Module, Electro Encephalogram, Servomotor.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks