Thangavellah, Pavitharah (2019) Development Of Neuro IoT Pain Scale System. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Text (24 Pages)
Development Of Neuro IoT Pain Scale System.pdf - Submitted Version Download (4MB) |
Abstract
Electroencephalogram (EEG) headset records the electrodes attached on the scalp to recognize electrical movement in the mind. This project is developed to overcome the difficulty of interpreting the pain level of a patient. Besides that, the doctors unable to make the medical statement accurately. The main purpose of this project is to develop a prototype of neuro-based pain scale and to analyse the performance of neuro-based pain scale for accuracy, reliability and usability. To achieve the objective, EEG headset is connected with NodeMCU microcontroller. The microcontroller gathered programmed data and customized through ThingSpeak and Internet of Things (IoT). At this point, the pain level and EEG result will be collected and displayed. This system will recognize the exact dimension of pain level. Last but not least, a patient life can be spared as well as to improve the hospitalize framework.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Internet of things, Electroencephalography |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Sabariah Ismail |
Date Deposited: | 20 Dec 2021 01:04 |
Last Modified: | 20 Dec 2021 01:04 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/25606 |
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