TY - GEN
T1 - Peripheral Arterial Tonometry Used to Distinguish Central and Obstructive Sleep Apnea Events
AU - Penzel, Thomas
AU - Belozerova, Natalia V.
AU - Glos, Martin
AU - Fietze, Ingo
AU - Pillar, Giora
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Sleep apnea is a sleep disorder with a high prevalence in the general population causing cardiovascular disorders such as stroke, myocardial infarction, and hypertension. Sleep apnea had been diagnosed in sleep laboratories. With the high prevalence home sleep apnea testing is becoming the regular diagnostic test. In order to reduce the number of sensors, methods use more indirect ways to derive the relevant features to detect apnea and hypopnea events. One such method is peripheral arterial tonometry, which evaluates the pulse wave on the finger. This method has long been claimed as not being able to distinguish central and obstructive apnea events. A multicenter trial was now able to show that a new analysis algorithm is able to distinguish central from obstructive events with sufficient accuracy.
AB - Sleep apnea is a sleep disorder with a high prevalence in the general population causing cardiovascular disorders such as stroke, myocardial infarction, and hypertension. Sleep apnea had been diagnosed in sleep laboratories. With the high prevalence home sleep apnea testing is becoming the regular diagnostic test. In order to reduce the number of sensors, methods use more indirect ways to derive the relevant features to detect apnea and hypopnea events. One such method is peripheral arterial tonometry, which evaluates the pulse wave on the finger. This method has long been claimed as not being able to distinguish central and obstructive apnea events. A multicenter trial was now able to show that a new analysis algorithm is able to distinguish central from obstructive events with sufficient accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85091069938&partnerID=8YFLogxK
U2 - 10.1109/esgco49734.2020.9158143
DO - 10.1109/esgco49734.2020.9158143
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AN - SCOPUS:85091069938
T3 - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
BT - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations
T2 - 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Y2 - 15 July 2020
ER -
