Tantárgy adatlapja

Tárgy neve: Fetal monitoring with multimodal methods II
Tárgy kódja: P_DO_0251
Óraszám: N: 2/2/0, L: 0/0/0
Kreditérték: 6
Az oktatás nyelve: magyar
Követelmény típus: Gyakorlati jegy
Felelős kar: ITK
Felelős szervezeti egység: ITK Doktori és Habilitációs Iroda
Tárgyfelelős oktató: Dr. Koller Miklós
Tárgyleírás:

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 -- noise sources, filtering.

Discussed topics this semester include:

- Advanced fetal monitoring techniques

- Deeper examination of noise-sources in the case of phonocardiographic signals

- Non-adaptive filtering techniques present in the literature

- Adaptive filtering techniques present in the literature

- Time-domain methods

- Spectral-domain methods

- Hybrid methods

- Data science point of view revisited

Selected  list of literature:

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

Kovács, Ferenc, et al. "Fetal phonocardiography—past and future possibilities." Computer methods and programs in biomedicine 104.1 (2011): 19-25.

Kovács, Ferenc, M. Torok, and István Habermajer. "A rule-based phonocardiographic method for long-term fetal heart rate monitoring." IEEE Transactions on biomedical engineering 47.1 (2000): 124-130.

Kovacs, Ferenc, et al. "Extended noninvasive fetal monitoring by detailed analysis of data measured with phonocardiography." IEEE Tran

sactions on Biomedical Engineering 58.1 (2010): 64-70.

Ruffo, Mariano. "Foetal heart rate recording: analysis and comparison of different methodologies." (2011).

 

 

A tárgy az alábbi képzéseken vehető fel

Roska Tamás Műszaki és Természettudományi Doktori Iskola képzése IDNI-IMTX Doktori képzés (PhD/DLA) (Nftv. 114 (2)) Nappali magyar 8 félév ITK
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