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Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.

Yao L, Meng J, Zhang D, Sheng X, Zhu X - PLoS ONE (2013)

Bottom Line: The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS.The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%.The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.

ABSTRACT
In this work, mechanical vibrotactile stimulation was applied to subjects' left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS. The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%. Comparative experiments with motor imagery (with and without presence of stimulation) were also carried out, which further showed the feasibility of selective sensation as an alternative BCI task complementary to motor imagery. Specifically there was significant improvement ([Formula: see text]) from near 65% in motor imagery (with and without presence of stimulation) to above 80% in selective sensation on some subjects. The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.

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Discriminative accuracy under different combinations of time segmentation and frequency band, and selection of optimal time segment and frequency band in sensation session.(1) Discriminative information under different time segmentations and frequency bands from subject s4. The most discriminative information was concentrated on alpha band and showed little discriminative information in the entire beta band. The color bar indicated the classification accuracy. (2) Discriminative information from subject s7. The most discriminative information was concentrated on beta band and showed less discriminative information in alpha band. (3) Discriminative information from subject s2. The discriminative information was on both alpha and beta band, but lower alpha band showed little discriminative information. (4) Improvement after optimal selection of time and frequency band for each individual. Common time and frequency band corresponded to [1 4]s post appearance of the indicating cue and [8 26]Hz maintaining both alpha and beta rhythm. The selected time and frequency band were chosen such that the subject could achieve the best discrimination performance. Two point markers indicated significant improvement using T-test with .
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pone-0064784-g007: Discriminative accuracy under different combinations of time segmentation and frequency band, and selection of optimal time segment and frequency band in sensation session.(1) Discriminative information under different time segmentations and frequency bands from subject s4. The most discriminative information was concentrated on alpha band and showed little discriminative information in the entire beta band. The color bar indicated the classification accuracy. (2) Discriminative information from subject s7. The most discriminative information was concentrated on beta band and showed less discriminative information in alpha band. (3) Discriminative information from subject s2. The discriminative information was on both alpha and beta band, but lower alpha band showed little discriminative information. (4) Improvement after optimal selection of time and frequency band for each individual. Common time and frequency band corresponded to [1 4]s post appearance of the indicating cue and [8 26]Hz maintaining both alpha and beta rhythm. The selected time and frequency band were chosen such that the subject could achieve the best discrimination performance. Two point markers indicated significant improvement using T-test with .

Mentions: To get a full understanding of the role of different time segments and frequency bands in the classification of the left and right sensation task, time segments and frequency band divisions were described as follows. In the frequency domain, lower alpha [8 10]Hz, upper alpha [10 13]Hz, alpha [8 13]Hz, and lower beta [13 20]Hz, upper beta [20 26]Hz, and beta [13 26]Hz, and both alpha and beta band [8 26]Hz were divided. In the time domain, as reaction time (from the appearance of the indicating cue to the actual mental performing) of each subject existed, and varied from subject to subject, so we focused on the time 1s after appearance of the cue to 5s. The time divisions were as 12 s, 13 s, 14 s, 15 s, and 23 s, 24 s, 25 s, and 34 s , 35 s, and 45 s. Fig. 7(1)(2)(3), exhibited different distribution of discrimination information across three subjects, which showed different dominant rhythmical bands in classifying the left and right sensation. After proper selection of time and frequency band to each individual, an obvious improvement was shown in Fig. 7(4), especially for subjects s4, s6, s7, s9 with .


Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.

Yao L, Meng J, Zhang D, Sheng X, Zhu X - PLoS ONE (2013)

Discriminative accuracy under different combinations of time segmentation and frequency band, and selection of optimal time segment and frequency band in sensation session.(1) Discriminative information under different time segmentations and frequency bands from subject s4. The most discriminative information was concentrated on alpha band and showed little discriminative information in the entire beta band. The color bar indicated the classification accuracy. (2) Discriminative information from subject s7. The most discriminative information was concentrated on beta band and showed less discriminative information in alpha band. (3) Discriminative information from subject s2. The discriminative information was on both alpha and beta band, but lower alpha band showed little discriminative information. (4) Improvement after optimal selection of time and frequency band for each individual. Common time and frequency band corresponded to [1 4]s post appearance of the indicating cue and [8 26]Hz maintaining both alpha and beta rhythm. The selected time and frequency band were chosen such that the subject could achieve the best discrimination performance. Two point markers indicated significant improvement using T-test with .
© Copyright Policy
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC3675213&req=5

pone-0064784-g007: Discriminative accuracy under different combinations of time segmentation and frequency band, and selection of optimal time segment and frequency band in sensation session.(1) Discriminative information under different time segmentations and frequency bands from subject s4. The most discriminative information was concentrated on alpha band and showed little discriminative information in the entire beta band. The color bar indicated the classification accuracy. (2) Discriminative information from subject s7. The most discriminative information was concentrated on beta band and showed less discriminative information in alpha band. (3) Discriminative information from subject s2. The discriminative information was on both alpha and beta band, but lower alpha band showed little discriminative information. (4) Improvement after optimal selection of time and frequency band for each individual. Common time and frequency band corresponded to [1 4]s post appearance of the indicating cue and [8 26]Hz maintaining both alpha and beta rhythm. The selected time and frequency band were chosen such that the subject could achieve the best discrimination performance. Two point markers indicated significant improvement using T-test with .
Mentions: To get a full understanding of the role of different time segments and frequency bands in the classification of the left and right sensation task, time segments and frequency band divisions were described as follows. In the frequency domain, lower alpha [8 10]Hz, upper alpha [10 13]Hz, alpha [8 13]Hz, and lower beta [13 20]Hz, upper beta [20 26]Hz, and beta [13 26]Hz, and both alpha and beta band [8 26]Hz were divided. In the time domain, as reaction time (from the appearance of the indicating cue to the actual mental performing) of each subject existed, and varied from subject to subject, so we focused on the time 1s after appearance of the cue to 5s. The time divisions were as 12 s, 13 s, 14 s, 15 s, and 23 s, 24 s, 25 s, and 34 s , 35 s, and 45 s. Fig. 7(1)(2)(3), exhibited different distribution of discrimination information across three subjects, which showed different dominant rhythmical bands in classifying the left and right sensation. After proper selection of time and frequency band to each individual, an obvious improvement was shown in Fig. 7(4), especially for subjects s4, s6, s7, s9 with .

Bottom Line: The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS.The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%.The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.

ABSTRACT
In this work, mechanical vibrotactile stimulation was applied to subjects' left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS. The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%. Comparative experiments with motor imagery (with and without presence of stimulation) were also carried out, which further showed the feasibility of selective sensation as an alternative BCI task complementary to motor imagery. Specifically there was significant improvement ([Formula: see text]) from near 65% in motor imagery (with and without presence of stimulation) to above 80% in selective sensation on some subjects. The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.

Show MeSH