TY - GEN
T1 - Toward a taxonomy of autonomic sleep patterns with electrodermal activity
AU - Sano, Akane
AU - Picard, Rosalind W.
PY - 2011
Y1 - 2011
N2 - This paper presents a first version of a taxonomy of automatic sleep patterns found with the Affectiva Q Sensor, a wireless, logging biosensor that measures skin conductance, skin temperature, and motion comfortably from the wrist. Several studies have examined electrodermal activity (EDA) during sleep, but they focused on an analysis of EDA for only a small number of nights. We quantitatively analyzed EDA during sleep in three study situations: (1) Comparing EDA with polysomnography (PSG) from seven subjects in a sleep lab, (2) Characterizing multiple nights of EDA in a sleep lab, in a hospital and at home from 24 subjects, and (3) Gathering long-term EDA (30-60 nights) patterns from three subjects during home sleep. After gathering this rich corpus of data, we characterized inter- and intra-individual differences of EDA features and the relation of EDA peaks to subjective sleep quality. Here we present results from the three studies in an effort to begin to characterize autonomic patterns found in natural sleep.
AB - This paper presents a first version of a taxonomy of automatic sleep patterns found with the Affectiva Q Sensor, a wireless, logging biosensor that measures skin conductance, skin temperature, and motion comfortably from the wrist. Several studies have examined electrodermal activity (EDA) during sleep, but they focused on an analysis of EDA for only a small number of nights. We quantitatively analyzed EDA during sleep in three study situations: (1) Comparing EDA with polysomnography (PSG) from seven subjects in a sleep lab, (2) Characterizing multiple nights of EDA in a sleep lab, in a hospital and at home from 24 subjects, and (3) Gathering long-term EDA (30-60 nights) patterns from three subjects during home sleep. After gathering this rich corpus of data, we characterized inter- and intra-individual differences of EDA features and the relation of EDA peaks to subjective sleep quality. Here we present results from the three studies in an effort to begin to characterize autonomic patterns found in natural sleep.
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U2 - 10.1109/IEMBS.2011.6090178
DO - 10.1109/IEMBS.2011.6090178
M3 - Conference contribution
C2 - 22254426
AN - SCOPUS:84861949373
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 777
EP - 780
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -