Communication Evaluation of a Wireless 4-Channel Wearable EEG for Brain-Computer Interface (BCI) and Healthcare Applications
- Resource Type
- Conference
- Authors
- Bhattarai, Abhishek; Mohammad, Umair; Saeed, Fahad
- Source
- SoutheastCon 2024 SoutheastCon, 2024. :902-903 Mar, 2024
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Wireless communication
Measurement
Wireless sensor networks
Medical services
Predictive models
Brain modeling
Electroencephalography
BCI
Wearables
Wireless EEG
Epilepsy
Seizure Prediction
Packet Loss
Performance Evaluation
- Language
- ISSN
- 1558-058X
This paper evaluates the communication performance of a wearable electroencephalography (EEG) headband for brain-computer interface (BCI) and healthcare applications. Our study is motivated by the application of EEG sensors to epileptic seizure prediction using short duration segments. Using packet delivery ratio (PDR) as the metric, we show that shorter segments suffer from lower PDR which can have catastrophic implications for health/BCI applications based on predictive modeling.