TY - JOUR
T1 - Electrocardiogram based evaluation of children with sleep related upper airway obstruction
AU - Baharav, A.
AU - Shinar, Z.
AU - Sivan, Y.
AU - Greenfeld, M.
AU - Akselrod, S.
PY - 2004
Y1 - 2004
N2 - Sleep disordered breathing became an important health issue. It remains under diagnosed due the complexity and cost of the standard overnight polysomnography. The ECG signal contains important information concerning sleep and autonomic function. In the present study we reassessed the behavior of several HRV parameters during sleep stages. In addition we developed an algorithm, able to discriminate between different sleep stages. This classification algorithm was based on phase space of HRV parameters that have proved to be significantly different between different sleep stages in children with sleep related breathing disorder and in normal children. The algorithm was then validated on 21 children using the "leave-one-out" technique. The sensitivity of the classification was 59%-69% for different sleep stages, and its specificity between 51%-66%. The overall accuracy was 66%, less than inter-expert agreement and better than automatic PSG analysis.
AB - Sleep disordered breathing became an important health issue. It remains under diagnosed due the complexity and cost of the standard overnight polysomnography. The ECG signal contains important information concerning sleep and autonomic function. In the present study we reassessed the behavior of several HRV parameters during sleep stages. In addition we developed an algorithm, able to discriminate between different sleep stages. This classification algorithm was based on phase space of HRV parameters that have proved to be significantly different between different sleep stages in children with sleep related breathing disorder and in normal children. The algorithm was then validated on 21 children using the "leave-one-out" technique. The sensitivity of the classification was 59%-69% for different sleep stages, and its specificity between 51%-66%. The overall accuracy was 66%, less than inter-expert agreement and better than automatic PSG analysis.
UR - http://www.scopus.com/inward/record.url?scp=28144449109&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle???
AN - SCOPUS:28144449109
SN - 0276-6574
VL - 31
SP - 289
EP - 292
JO - Computers in Cardiology
JF - Computers in Cardiology
T2 - Computers in Cardiology 2004
Y2 - 19 September 2004 through 22 September 2004
ER -