• Login
  • Register
  • Search

Exploration and Research of Intelligent Headband and APP Design Based on Brainwave Sensor

Deyue Bu, Chang Yan, Li Yang

Abstract


Amyotrophic lateral sclerosis (ALS), commonly known as frostbite, is one of the fi ve end-stage diseases recognized by the World Health Organization (WHO). There are more than 200000 people suff ering from ALS in China, most of whom are30-60 years old. These diseases are major problems that plague most patients and nursing care. The front end of such technology is basically used in military and scientific research. The civil EEG application market is very wide, with tens of thousands of people in demand in China. Based on this, through the “Internet+AI+Medical Devices” model, it provides a dedicated communication platform for aphasia patients and their families.

Keywords


Emotion-intelligent headband based on brainwave sensor

Full Text:

PDF

Included Database


References


[1] Fadel W, Kollod C, Wahdow M, et al. Multi-Class Classification of Motor Imagery EEG Signals Using Image-Based Deep Recurrent Convolutional Neural Network[C].2020 8th International Winter Conference on Brain-Computer Interface (BCI),2020.

[2] Yang C. Application Oriented Brain Computer Interface Algorithm and System Research of Steady State Visual Evoked Potential[D]. Tsinghua Universitylearn,2018.

[3] Yan P, Cheng M.The dilemma and countermeasures of patients with frostbite from the perspective of meaning therapy theory[J].Medicine and Philosophy,2020.

[4] Xu Jinfei’s EEG signal acquisition and processing system based on STM32[D].Shandong Normal University.

[5] Zuo C.Research on portable single-channel EEG signal acquisition and processing[D]. Southwest Jiaotong University,2016.




DOI: http://dx.doi.org/10.18686/ahe.v7i13.8530

Refbacks