My Research Activities

 

Online Research Profiles:

Research Groups:

  •  Machine-Learning Techniques and their Applications to Healthcare, Security, and Analytics, Role: PI, Funding: DSR
  •  Digital Speech, ECG Signal Processing, Emotion, Security and Health, Role: Co-PI, Funding: DSR
  •  Information Processing and Communication, Role: Co-PI, Funding: DSR 
     

Editor/Reviewer

Associate Editior: Journal of King Saud University - Computer and Information Sciences
Reviewer: IEEE Access, Multimedia Tools and Applications, ...... 

Projects 

1. Efficient Detection of Five Peaks of Finger-ECG Signal     

       Funding: Deanship of Scientific Research (DSR), King Saud University, Project No RC140205, SAR 30,000.00

     Duration: April 2014 –  March 2015

     Status: Completed

 2. Enhancing Security of Fingerprint Biometrics with Heartbeat Signal for Unattended Applications

     Funding: National Science, Technology and Innovation Plan ( NSTIP project funded by KACST), project ID 13-INF2168-02-R, SAR 1970940

      Date of Acceptance: 2014/11/06

       Status: Funding is under process
 

3. Development and FPGA-based Implementation of a Finger Probe for Atrial Fibrillation Screening     

       Funding: General Directorate of Research Grants, KACST, Project No 34-66, SAR 144,000.00

     Duration: April 2014 –  Feb 2015

     Status: Completed

 

Media

  • Interview: IET, UK, Electronics Letters, vol. 48, no. 8, pp. 414, 2012.
  • Layman's summary: "Towards Development of an Automatic Screening Device for Early Detection of Atrial Fibrillation," published in Atlas of Science, November 11, 2016.

Related Publications (Biometrics and Cryptography)

[1] S. Alharbi, M.S. Islam, S. Alahmadi, “Time-Invariant Cryptographic Key Generation from Cardiac Signals”, Proceedings of the Future Technologies Conference, USA, 2019.
[2] R.M. Jomaa, M.S. Islam, H. Mathkour, “Improved Sequential Fusion of Heart-signal and Fingerprint for Anti-spoofing”, International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, 10-12 January, 2018.
[3] M.S. Islam,  N Ammour, N Alajlan, M Abdullah-Al-Wadud, "Selection of Heart-Biometric Templates for Fusion" IEEE Access, Vol 5, 2017.
[4] N Hamad, M Rahman, M.S. Islam, "Novel remote authentication protocol using heart-signals with chaos cryptography", International Conference on Informatics, Health & Technology (ICIHT), 2017

[5] M.S. Islam, N Alajlan, "Biometric template extraction from a heartbeat signal captured from fingers" Multimedia Tools and Applications, DOI:10.1007/s11042-016-3694-6, 2016. 

[6]  M. S. Islam, "Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices", International Journal of Distributed Sensor Networks, 2015 ( PDF).

[7] M. S. Islam and N. Alajlan, "A Morphology Alignment Method for Resampled Heartbeat Signals," Biomedical Signal Processing and Control, vol. 8, pp. 315-324, 2013.
[8]  M. S. Islam, N. Alajlan, Y. Bazi, and H. Hichri, "HBS: a novel biometric feature based on heartbeat morphology," IEEE Transactions on Information Technology in Biomedicine, vol. 16, pp. 445-453, 2012.
[9] M. S. Islam, N. Alajlan, and S. Malik, "Resampling of ECG signal for improved morphology alignment," Electronics Letters, vol. 48, pp. 427–429, 2012.

[10] M.S. Islam, N. Alajlan, “An efficient QRS detection method for ECG signal captured from fingers,” IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Jose, California, USA, 15-19 July 2013.

[11] N. Alajlan, M.S. Islam, N. Ammour, “Fusion of Fingerprint and Heartbeat Biometrics Using Fuzzy Adaptive Genetic Algorithm,” World Congress on Internet Security (WorldCIS-2013), London, UK, 9-12 December, 2013.
 

Related Publications (Machine Learning in Biomedical Engineering)

 [1] M.S. Islam, M.M.B. Ismail, O. Bchir, M. Zakariah, Y. Alotaibi, “Robust Atrial Fibrillation Detection by Classification of Linearly Transformed Window of R-R Intervals Tachogram”, IEEE Access, vol 7, 2019.
[2] M.S. Islam, N. Ammour, N. Alajlan, H. Aboalsamh, “Rhythm-based Heartbeat Duration Normalization for Atrial Fibrillation Detection,” Computers in Biology and Medicine, DOI: 10.1016/j.compbiomed.2016.03.015, 2016.

[3] M.S. Islam, N. Ammour, N. Alajlan, "Atrial fibrillation detection with multiparametric RR interval feature and machine learning technique", International Conference on Informatics, Health & Technology (ICIHT), 2017
[4] M.S. Islam, N. Alajlan, “Augmented-Hilbert Transform for Detecting Peaks of a Finger-ECG Signal" IEEE Conference on Biomedical Engineering and Sciences, Miri, Malaysia, 8-10 December, 2014.
[5] M.S. Islam, N. Alajlan, “An efficient QRS detection method for ECG signal captured from fingers,” IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Jose, California, USA, 15-19 July 2013.

 

Inhouse Database of Finger-based Heart-signal

Heart-signal is an emerging biometric modality. We have constructed a database of heart-signal captured from fingers. The data was collected in two sessions from 112 individulas. In each sessions we collected two specimens for each individuals. Then we extracted biometric templates from each specimen [1, 2, 3 ,4].  Following figure shows four templates from each of two individuals.

 

112 × 4 templates could be downloaded form here. Tmpt.zip

 Matlab code to display the templates of an individuls. tempt_disp.m