PMID- 28269590
OWN - NLM
STAT- MEDLINE
DCOM- 20170531
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2016
DP  - 2016 Aug
TI  - Time-frequency joint coding method for boosting information transfer rate in an 
      SSVEP based BCI system.
PG  - 5873-5876
LID - 10.1109/EMBC.2016.7592064 [doi]
AB  - Steady-State Visual Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) 
      system is an important BCI modality. It has advantages such as ease of use, 
      little training and high Information Transfer Rate (ITR). Traditional SSVEP based 
      BCI systems are based on the Frequency Division Multiple Access (FDMA) approach 
      in telecommunications. Recently, Time Division Multiple Access (TDMA) was also 
      introduced to SSVEP based BCI to enhance the system performance. This study 
      designed a new time-frequency joint coding method to utilize the information 
      coding from both time and frequency domains. TDMA using Different Frequency (DF) 
      mode and Same Frequency (SF) mode were compared to the traditional FDMA mode in 
      the offline experiment. The result showed that the DF mode had better performance 
      than the other two modes. The mean and the standard deviation of accuracy and ITR 
      of the online experiment was 83.3%+/-5.5% and 130.3 + 14.9 bits/min (trial time: 
      1.25s) and 92.0%+/-7.5% and 136.6 + 19.8 bit/min (trial time: 1.5s). The average 
      typing speed for the word-copy spelling task was 14.9 characters per minute (cpm) 
      (trial time: 1.25s) and 14.8 cpm (trial time: 1.5s). The overall results 
      demonstrate the feasibility and advantage of the proposed time-frequency joint 
      coding method.
FAU - Ke Lin
AU  - Ke Lin
FAU - Yijun Wang
AU  - Yijun Wang
FAU - Xiaorong Gao
AU  - Xiaorong Gao
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - *Brain-Computer Interfaces
MH  - Electroencephalography
MH  - Evoked Potentials, Visual/*physiology
MH  - Female
MH  - Humans
MH  - Male
MH  - Photic Stimulation
MH  - Young Adult
EDAT- 2017/03/09 06:00
MHDA- 2017/06/01 06:00
CRDT- 2017/03/09 06:00
PHST- 2017/03/09 06:00 [entrez]
PHST- 2017/03/09 06:00 [pubmed]
PHST- 2017/06/01 06:00 [medline]
AID - 10.1109/EMBC.2016.7592064 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5873-5876. doi: 
      10.1109/EMBC.2016.7592064.