@inproceedings{5a9d7e7bc6ad4d12a66db0327937c960,
title = "IoT Based Tele-Sleep Bruxism Diagnosis Tool",
abstract = "Bruxism is a clinical syndrome characterized by teeth grinding or clenching. If you suffer from bruxism, you may have unintentionally clenched or ground your teeth while you were awake (awake bruxism) or while you were asleep (sleep bruxism). The most accurate ways to identify sleep bruxism are polysomnography and nightly sleep studies at a sleep clinic. Polysomnography will include heart and muscle monitoring, as well as pulse and blood pressure data. As a result, in this study, the key signals for diagnosing sleep bruxism-such as pulse rate, ECG (electrocardiogram), and EMG (Electromyogram) are collected and stored in IOT through wireless monitoring. The hardware tools are used to test ECG and EMG signals. If the person has a sleep bruxism episode, the microcontroller will give an alert via buzzer and transfer the data via IoT to the cloud, which can be accessed by the doctor for tele-monitoring.",
keywords = "Bruxism, ECG, EMG, Microcontroller, Tele - Diagnosis",
author = "Dhivya Velumani and {Nancy Subha}, G. and S. Harishma and Reshmi, {C. Kruthika} and P. Meghana and M. Gokul",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022 ; Conference date: 24-11-2022 Through 26-11-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/ICAISS55157.2022.10011117",
language = "English",
series = "Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1156--1160",
booktitle = "Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022",
address = "United States",
}