Search
Abstract
Vital signals registration plays a significant role in biomedical engineering and education process. Well acquired data allow future engineers to observe certain physical phenomena as well learn how to correctly process and interpret the data. This dataset was designed for students to learn about Doppler phenomena and to demonstrate correctly and incorrectly acquired signals as well as the basic methods of signal processing. This paper presents three corresponding datasets consisting of 21 recording of signals acquired from the neck area with USG gel applied and 21 distorted recordings acquired without gel.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
download paper
downloaded 76 times
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.34808/x55q-sz53_dyr_roz8_OK
- License
-
open in new tab
Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Kocejko T.: Educational Dataset of Handheld Doppler Blood Flow Recordings// Sharing research data across disciplines/ : , , s.109-112
- DOI:
- Digital Object Identifier (open in new tab) 10.34808/x55q-sz53_dyr_roz8
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
seen 144 times
Recommended for you
Comparison of Doppler Effect Estimation Methods for MFSK Transmission in Multipath Hydroacoustic Channel
- A. Czapiewska,
- A. Łuksza,
- R. Studański
- + 2 authors
2024