Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury.
10.14245/kjs.2015.12.3.119
- Author:
Hyeongseok JEON
1
;
Dong Ah SHIN
Author Information
1. Department of Neurosurgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea. CISTERN@yuhs.ac
- Publication Type:Original Article
- Keywords:
Brain-Computer interfaces;
Event-Related potentials;
P300;
Spinal cord injuries;
Electroencephalography
- MeSH:
Asia;
Brain*;
Brain-Computer Interfaces*;
Electroencephalography;
Evoked Potentials;
Humans;
Nervous System Diseases;
Spinal Cord Injuries*;
Spinal Cord*
- From:Korean Journal of Spine
2015;12(3):119-123
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: Brain computer interface (BCI) is one of the most promising technologies for helping people with neurological disorders. Most current BCI systems are relatively expensive and difficult to set up. Therefore, we developed a P300-based BCI system with a cheap bioamplifier and open source software. The purpose of this study was to describe the setup process of the system and preliminary experimental results. METHODS: Ten spinal cord-injured patients were recruited. We used a sixteen-channel EEG(KT88-1016, Contec, China) and BCI2000 software (Wadsworth center, NY, USA). Subjects were asked to spell a 5-character word using the P300-based BCI system with 10 minutes of training. EEG data were acquired during the experiment. After subjects spelled the word for ten trials, the spelling accuracy and information transfer rate (ITR) were obtained in each patients. RESULTS: All subjects performed the experiment without difficulty. The mean accuracy was 59.4+/-22.8%. The spelling accuracy reversely correlated with the age. Younger subjects spelled with higher accuracy than older subjects (p=0.018). However, sex, injury level, time since injury and ASIA scale were not correlated with the accuracy. The mean of ITR was 2.26+/-1.22 bit/min. CONCLUSION: This study showed that a BCI system can be set up inexpensively with a low-price bioamplifier and open-source software. The spelling accuracy was moderately achieved with our system. P300-based BCI is useful in young patients, but modification is necessary in old patients who have low ability of recognition and concentration.
