The main purpose of this course is to further examine the different fetal monitoring techniques, especially dig into the details of phonocardiographic solutions and possibilities -- existing databases, signal quality measure, split detection

Discussed topics this semester include:

- Discovering of existing fetal heart sound databases

- Evaluation of the databases with signal quality assessment methods 

- Benchmarking of standard fetal heart sound detector algorithms

- Split detection in general / literature-review

- Split detection in fetal heart sound and

- Implementation of split detection algorithm(s) for efficient evaluation of heart sound analysis

Danilo Pani, Chiara Rabotti, Maria Gabriella Signorini, Laura Burattini - Innovative Technologies and Signal Processing in Perinatal Medicine, 2021

Leif Sörnmo and Pablo Laguna - Bioelectrical Signal Processing in Cardiac and Neurological Applications, 2005

Gibb, Donald, and Sabaratnam Arulkumaran, eds. Fetal Monitoring in Practice-E-Book. Elsevier Health Sciences, 2023.

Kahankova, Radana, et al. "A Review of Recent Advances and Future Developments in Fetal Phonocardiography." IEEE Reviews in Biomedical Engineering (2022).

Choi, Samjin, and Zhongwei Jiang. "Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique." Computers in biology and medicine 40.1 (2010): 8-20.

C. Orphanidou, T. Bonnici, P. Charlton, D. Clifton, D. Vallance and L. Tarassenko, "Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Deriv

ation and Applications to Wireless Monitoring," in IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 3, pp. 832-838, May 2015, doi: 10.1109/JBHI.2014.2338351.