Abstract
A new technique of time-domain analysis for screening of Obstructive Sleep Apnea (OSA) using R-R interval (RRI) data is investigated. This method is based on the Statistical Signal Characterization (SSC) of the analytical signal that is generated using Hilbert transformation of the RRI data. The four SSC parameters: amplitude mean, period mean, amplitude deviation and period deviation, and their maximum and minimum values are found over a 5-minutes sliding window for both the instantaneous amplitudes and the instantaneous frequencies derived from the analytical signal of the RRI data. Data used in this work are drawn from both MIT database as well as from the Sleep Laboratory at Sultan Qaboos University (SQU) hospital. Threshold values used in the identification of OSA from normal subjects are selected using the Receiver Operating Characteristics (ROC) curves. The new technique classifies correctly 29/30 of MIT Trial data, 27/30 of MIT challenge data, and 30/30 of SQU data.
| Original language | English |
|---|---|
| Pages (from-to) | 67-78 |
| Number of pages | 12 |
| Journal | Technology and Health Care |
| Volume | 12 |
| Issue number | 1 |
| Publication status | Published - 2004 |
Fingerprint
Keywords
- Heart rate variability
- Hilbert transform
- Obstructive sleep apnea
- Statistical signal characterization
- Time-domain analysis
ASJC Scopus subject areas
- Biophysics
Cite this
Screening of obstructive sleep apnea based on statistical signal characterization of Hilbert transform of RRI data. / Al Ghunaimi, Bader; Hossen, Abdulnasir; Hassan, Mohammed O.
In: Technology and Health Care, Vol. 12, No. 1, 2004, p. 67-78.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Screening of obstructive sleep apnea based on statistical signal characterization of Hilbert transform of RRI data
AU - Al Ghunaimi, Bader
AU - Hossen, Abdulnasir
AU - Hassan, Mohammed O.
PY - 2004
Y1 - 2004
N2 - A new technique of time-domain analysis for screening of Obstructive Sleep Apnea (OSA) using R-R interval (RRI) data is investigated. This method is based on the Statistical Signal Characterization (SSC) of the analytical signal that is generated using Hilbert transformation of the RRI data. The four SSC parameters: amplitude mean, period mean, amplitude deviation and period deviation, and their maximum and minimum values are found over a 5-minutes sliding window for both the instantaneous amplitudes and the instantaneous frequencies derived from the analytical signal of the RRI data. Data used in this work are drawn from both MIT database as well as from the Sleep Laboratory at Sultan Qaboos University (SQU) hospital. Threshold values used in the identification of OSA from normal subjects are selected using the Receiver Operating Characteristics (ROC) curves. The new technique classifies correctly 29/30 of MIT Trial data, 27/30 of MIT challenge data, and 30/30 of SQU data.
AB - A new technique of time-domain analysis for screening of Obstructive Sleep Apnea (OSA) using R-R interval (RRI) data is investigated. This method is based on the Statistical Signal Characterization (SSC) of the analytical signal that is generated using Hilbert transformation of the RRI data. The four SSC parameters: amplitude mean, period mean, amplitude deviation and period deviation, and their maximum and minimum values are found over a 5-minutes sliding window for both the instantaneous amplitudes and the instantaneous frequencies derived from the analytical signal of the RRI data. Data used in this work are drawn from both MIT database as well as from the Sleep Laboratory at Sultan Qaboos University (SQU) hospital. Threshold values used in the identification of OSA from normal subjects are selected using the Receiver Operating Characteristics (ROC) curves. The new technique classifies correctly 29/30 of MIT Trial data, 27/30 of MIT challenge data, and 30/30 of SQU data.
KW - Heart rate variability
KW - Hilbert transform
KW - Obstructive sleep apnea
KW - Statistical signal characterization
KW - Time-domain analysis
UR - http://www.scopus.com/inward/record.url?scp=2342545445&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2342545445&partnerID=8YFLogxK
M3 - Article
VL - 12
SP - 67
EP - 78
JO - Technology and Health Care
JF - Technology and Health Care
SN - 0928-7329
IS - 1
ER -