TY - GEN
T1 - Fuzzy oscillometric blood pressure classification
AU - Colak, S.
AU - Isik, C.
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - Classification of systolic, mean and diastolic blood pressure profiles using the oscillometric method is a difficult process. Generally, the algorithms aim at extracting some parameters such as height, and ratios of the pulses at certain pressure levels, which are obtained from the cuff pressure. These parameters can be used to form profiles to relate to blood pressures. The effectiveness of the classification depends on many factors, such as environmental noise, white coat effect, heart rate variability and motion artifacts. In this paper, we investigate the effectiveness of a neuro-fuzzy approach to blood pressure classification. We employ feature extraction using principal component analysis, and fuzzy sets to classify pressure profiles.
AB - Classification of systolic, mean and diastolic blood pressure profiles using the oscillometric method is a difficult process. Generally, the algorithms aim at extracting some parameters such as height, and ratios of the pulses at certain pressure levels, which are obtained from the cuff pressure. These parameters can be used to form profiles to relate to blood pressures. The effectiveness of the classification depends on many factors, such as environmental noise, white coat effect, heart rate variability and motion artifacts. In this paper, we investigate the effectiveness of a neuro-fuzzy approach to blood pressure classification. We employ feature extraction using principal component analysis, and fuzzy sets to classify pressure profiles.
KW - Arteries
KW - Blood pressure
KW - Computer science
KW - Educational institutions
KW - Feature extraction
KW - Heart rate variability
KW - Hypertension
KW - Pressure measurement
KW - Ultrasonic variables measurement
KW - Working environment noise
UR - http://www.scopus.com/inward/record.url?scp=84902353002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902353002&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2003.1226783
DO - 10.1109/NAFIPS.2003.1226783
M3 - Conference contribution
AN - SCOPUS:84902353002
T3 - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
SP - 208
EP - 213
BT - NAFIPS 2003 - 22nd International Conference of the North American Fuzzy Information Processing Society - NAFIPS Proceedings
A2 - Walker, Ellen L.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003
Y2 - 24 July 2003 through 26 July 2003
ER -