Biomedical Signal Processing Group


Members

Assoc. Prof. Yasemin Kahya
Asst. Prof. Ata Akin (Biophotonics Lab)
Prof. Dr. Bülent Sankur

Ömer Sayli
Koray Ciftci
Ceyhun Burak Akgül


General Description

The Biomedical Signal Processing Group is in collaboration with the Institute of Biomedical Engineering, Bogazici University. Main research activities branch into two fields: functional near infrared spectroscopy (fNIRS) and lung acoustics.


fNIRS Group

Researchers
Ceyhun Burak Akgül, Ata Akin, Bülent Sankur, Koray Ciftci

Description
Functional near infrared spectroscopy (fNIRS) is an emerging non-invasive brain monitoring modality, with certain superiorities vis-à-vis other modalities, such as positron emission tomography (PET) and functional magnetic resonance imaging (fMRI). The research objectives of fNIRS Group are as follows: 

Thesis

C. B. Akgül, "Analysis of Functional Near Infrared Spectroscopy Signals", MS Thesis, Boğaziçi University, January 2004, Istanbul.

Publications

C. B. Akgül, B. Sankur, and A. Akin, "Spectral analysis of event-related hemodynamic responses in functional near infrared spectroscopy", Journal of Computational Neuroscience (accepted for publication).

C. B. Akgül, B. Sankur, and A. Akin, "Extraction of cognitive activity related waveforms from functional near infrared spectroscopy signals", NeuroImage (under review).

C. B. Akgül, B. Sankur, and A. Akin, "Evidence of cognitive activity in functional near infrared spectroscopy signal", OSA Optical Techniques in Neuroscience Topical Meeting, Miami Beach, Florida, USA, April 2004.

U. E. Emir, C. B. Akgül, A. Akin, A. Ertüzün, B. Sankur, and K. Harmanci, "Wavelet Denoising vs. ICA Denoising for Functional Optical Imaging", Proc. of 1st Int. Conf. on Neural Engineering, Capri, Italy, March 2003.


Lung Acoustics

Researchers

Mete Yeginer, Ipek Sen, Ugur Cini, Koray Ciftci, Yasemin P. Kahya

Description

Lung Acoustics Laboratory is in collaboration with medical schools. Main research areas of the laboratory are,

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Publications

Y. P. Kahya, E. Bayatli, M. Yeginer, K. Ciftci, G. Kilinc, “Comparison of Different Feature Sets for Respiratory Sound Classifiers,” Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2853-2856, Cancun, Mexico, 17-23 September 2003.

Y. P. Kahya, U. Çini and Ö. Cerid, “Real-time Regional Respiratory Sound Diagnosis Instrument,” Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3098-3101, Cancun, Mexico, 17-23 September 2003.

  I. Sen, Y. P. Kahya, “A Multi-Channel Analog Processing Circuit For Respiratory Sound Acquisition Applications,” Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3192-3195, Cancun, Mexico, 17-23 September 2003.

Kilinç G., Talasli I., Kahya Y., Yeginer M Çiftçi K. Classification of lung sounds by artificial neural networks [abstract]. Chest 2002; 122 (suppl.): 102S.

Kilinç G., Talasli I., Kahya Y., Yeginer M., Çiftçi K.. Crackle parameters in pathological lung sounds [ abstract]. Chest 2002; 122 (suppl.): 102 S.

Yasemin P. Kahya, Mete Yeginer, R.Koray Çiftçi, Günseli Kilinç,"Classification of Lung Sounds by Wavelet Networks", Proceedings of 4th International Workshop on Biosignal Interpretation, 171-174, Como, Italy, 24-26 June 2002.

Yasemin P. Kahya, Mete Yeginer, R.Koray Çiftçi, Günseli Kilinç, "Comparison of Classifiers Based on Wavelet Networks and Artificial Neural Networks for Respiratory Sounds", 27th International Lung Sound Conference, ARA Sovijarvi, Stockholm, Sweden, 12-14 September 2002.

Sameer S. Alsmadi, Yasemin P. Kahya, "Online Classification of Lung Sounds Using DSP", Proceedings of the Second Joint EMBS/BMES Conference, 1771-1772, Houston, TX, USA, October 23-26, 2002.

R.Koray Çiftçi, Mete Yeginer, Yasemin P. Kahya, "A Multi-Channel Telemetry System for the Acquisition of Respiratory Sounds," 2nd European Medical & Biological Engineering Conference, Vienna, Austria, 4-8 December, 2002.


 

Theses