Pomodoro
Brain
Mirki - Wrocław
Meet the Team
Signal anaylsis
Jakub
Scientific research
Wiktor
Full stack
Bartek




How it works?
Fast Fourier Transform
1.
Determining wave frequency ranges
2.
Simpson Function
3.
\sum_{n=0}^{N-1} x[n] e^{-j \frac{2\pi}{N} k n}

Frequency band | Frequency |
---|---|
Beta (β) | 12–35 Hz |
Alpha (α) | 8–12 Hz |
Theta (θ) | 4–8 Hz |
Delta (δ) | 0.5–4 Hz |
\bold{\frac{\text{Beta Power}}{\text{Alpha Power} + \text{Theta Power}}}
source: C. Maher; F. Claude. Exploring the relationship between learner EEG mental engagement and affect. Springer Berlin Heidelberg, 2010

Home view

Study session result screen
Future plans
- Using machine learning methods for classification (already implemented)
- Denoising EEG time series before FFT
Problems and risks
- ADHD people time series are more likely to be falsely classified.
source: T., Bianca Lee; VILJOEN, Margaretha. EEG brain wave activity at rest and during evoked attention in children with attention-deficit/hyperactivity disorder and effects of methylphenidate. Neuropsychobiology, 2016, 73.1: 16-22.
[1] CANDRA, Henry, et al. Improving Focus and Concentration in the Classroom while Studying with Lighting Arrangement and Brainwave Stimulation. In: 2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2018. p. 186-189.
[2] THOMAS, Bianca Lee; VILJOEN, Margaretha. EEG brain wave activity at rest and during evoked attention in children with attention-deficit/hyperactivity disorder and effects of methylphenidate. Neuropsychobiology, 2016, 73.1: 16-22.
[3] VILLAVICENCIO, Liliana; SINGH, Pallavi; MORENO, Wilfrido. LOW ALPHA LOW BETA AND THETA BRAINWAVES BANDS TO PREDICT STUDENT ENGAGEMENT USING MACHINE LEARNING METHODS. International Journal on Computational Science Applications, 2022, 12.
[4] CHAOUACHI, Maher; FRASSON, Claude. Exploring the relationship between learner EEG mental engagement and affect. In: Intelligent Tutoring Systems: 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Part II 10. Springer Berlin Heidelberg, 2010. p. 291-293.
Bibliography
Thanks!
Pomodoro Brain
By Bartłomiej Koba
Pomodoro Brain
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