Body to Body Network Architecture Design and Interopability Model for Biomedical Data Transmission from Electro Enchephalography Sensing Signals

Authors

  • Wahid Afiq Anggara Telkom University
  • Ida Wahidah Telkom University
  • Iman Hedi Santoso Telkom University

Abstract

The brain is one of the most important organs in the human body since it is the center of human equilibrium and the place of human balance. Human brain activity examination is highly suggested as the examination enhances a person's physical and mental state, such as by monitoring brain and mental health, early identification of sickness, and testing cognitive and emotional problems. With the high probability of increasing the number of people who experience decreased brain function, it can be concluded that a system solution that can be proposed for this problem is by designing an EEG (electroencephalogram). EEG (electroencephalogram) is an instrument that measures electrical activity in the human brain. EEG can be used to look for abnormal brain wave patterns that indicate errors and other abnormalities. EEG analysis is one method that aids in the process of assessing brain activity. Besides that, the use of Neurosky as an EEG is also very helpful where the tool has a Neurosky eSense, which can read a person's level of focus to meditation. The results of our research using NeuroSky Mindwave, which is connected to the Arduino UNO microcontroller, can produce brain activity data in the form of "attention" and "meditation" with a range of 03100% and EEG signals of the beta wave type (β) with an average value of 503200 V. With the help of heart rate and neurosky sensors, it can be seen and analyzed by the authorities in medical studies regarding the user's brain activity.

Keywords: Brain, NeuroSky, ESP32, EEG, Arduino

References

"Brain health," World Health Organization, https://www.who.int/health-topics/brain-health (accessed Sep. 11, 2023).

Kementerian Kesehatan Republik Indonesia, https://www.kemkes.go.id/downloads/resources/downlo ad/pusdatin/infodatin/Infodatin-Lansia-2022.pdf (accessed Oct. 30, 2022).

1910104114 Putri Lestari, S. SiT. Sri Subiyatun, and S. ST. Istri Utami, "Literature review Gambaran Autis Pada anak usia 0–10 Tahun," DIGILIB UNISAYOGYA, http://digilib.unisayogya.ac.id/5268/ (accessed 2023).

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Published

2024-10-21

Issue

Section

Program Studi S1 Teknik Telekomunikasi