Asynchronous signal processing for brain-computer interfaces

Seda ŞENAY; Luis F. CHAPARRO; Mingui SUN; Robert SCLABASSI; Aydın AKAN

Makale detayları

Asynchronous signal processing for brain-computer interfaces

Yazarlar:

Seda ŞENAY | Luis F. CHAPARRO | Mingui SUN | Robert SCLABASSI | Aydın AKAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 2, pp.275-289

Belge Tipi:

Makale

Yayın Tarihi:

1/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743806

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Brain-computer interfaces (BCIs) provide a way to monitor  and treat neurological diseases.  An important application of BCIs is  the monitoring and treatment of epilepsy, a neurological disorder  characterized by recurrent unprovoked seizures, symptomatic of  abnormal, excessive or synchronous neuronal activity in the brain.  BCIs contain an array of sensors that gather and transmit data under  the constrains of low-power and minimal data transmission.  Asynchronous sigma delta modulators (ASDMs) are considered an  alternative to synchronous analog to digital conversion.  ASDMs are  non-linear feedback systems that enable time-encoding of analog  signals, from which the signal can be reconstructed.  An efficient  reconstruction of time-encoded signals can be achieved using a prolate  spheroidal waveform (PSW) projection.  PSWs have finite time support  and maximum energy concentration within a given bandwidth.  The ASDM  time-encoding is related to the duty-cycle modulation and  demodulation, which shows that sampling is non-uniform.  For  transmission of data from BCI, we propose a modified orthogonal  frequency division multiplexing (OFDM) technique using chirp  modulation.  Our method generalizes the chirp modulation of binary  streams with non-uniform symbol duration.  Our theoretical results  relate to recent continuous-time digital signal processing and  compressive sampling theories.

 

Brain-computer interfaces (BCIs) provide a way to monitor  and treat neurological diseases.  An important application of BCIs is  the monitoring and treatment of epilepsy, a neurological disorder  characterized by recurrent unprovoked seizures, symptomatic of  abnormal, excessive or synchronous neuronal activity in the brain.  BCIs contain an array of sensors that gather and transmit data under  the constrains of low-power and minimal data transmission.  Asynchronous sigma delta modulators (ASDMs) are considered an  alternative to synchronous analog to digital conversion.  ASDMs are  non-linear feedback systems that enable time-encoding of analog  signals, from which the signal can be reconstructed.  An efficient  reconstruction of time-encoded signals can be achieved using a prolate  spheroidal waveform (PSW) projection.  PSWs have finite time support  and maximum energy concentration within a given bandwidth.  The ASDM  time-encoding is related to the duty-cycle modulation and  demodulation, which shows that sampling is non-uniform.  For  transmission of data from BCI, we propose a modified orthogonal  frequency division multiplexing (OFDM) technique using chirp  modulation.  Our method generalizes the chirp modulation of binary  streams with non-uniform symbol duration.  Our theoretical results  relate to recent continuous-time digital signal processing and  compressive sampling theories.

Makale detayları

Asynchronous signal processing for brain-computer interfaces

Yazarlar: Seda ŞENAY | Luis F. CHAPARRO | Mingui SUN | Robert SCLABASSI | Aydın AKAN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 2, pp.275-289

Belge Tipi: Makale

Yayın Tarihi: 1/2011

Belge Dili: Türkçe

Document ID (Org No.): 2000743806

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Seda ŞENAY | Luis F. CHAPARRO | Mingui SUN | Robert SCLABASSI | Aydın AKAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 2, pp.275-289

Belge Tipi:

Makale

Yayın Tarihi:

1/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743806

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632