TY - JOUR
T1 - Sleep evaluation by a newly developed PVDF sensor non-contact sheet
T2 - A comparison with standard polysomnography and wrist actigraphy
AU - Uchida, Sunao
AU - Endo, Takuro
AU - Suenaga, Kazue
AU - Iwami, Hideto
AU - Inoue, Shinsuke
AU - Fujioka, Eiji
AU - Imamura, Ayako
AU - Atsumi, Takafumi
AU - Inagaki, Yoshitaka
AU - Kamei, Atsushi
PY - 2011/7
Y1 - 2011/7
N2 - Polysomnographic (PSG) recording of multiple physiological measures remains the gold standard for sleep assessment in both basic and clinical human sleep research. However, PSG requires many unnatural conditions that can influence sleep phenomena. Recently, non-contact sheet sensors (SS) have been developed for sleep evaluation. Sheet sensor technology provides advantages over existing minimally intrusive devices used to analyze sleep-related behavior, such as wrist actigraphy (WA), beginning with freedom from attachment to any probes or devices. Current SS measures additionally include two physiological measures - heart rate (HR) and respiration rate (RR). To test the validity of SS analyses, we performed simultaneous recordings of SS and standard PSG in thirteen healthy adult sleepers, with WA additionally available for nine of the subjects. Sleep period features were compared among the three methods, and HR and RR data from SS and PSG were compared. Comparisons between the automatic scoring of SS and WA and visual PSG scoring showed good sleep-wake discrimination (88.3% and 89.4% respectively). Sleep onset estimation relative to PSG was also good for both SS and WA (0.38 and -2.44 epoch differences, respectively). In addition, HR and RR measured by SS were also compared with PSG. Both HR and RR closely approximated PSG physiological measures (error rates: HR 2.4%, RR 4.3%). In summary, SS is expected to be less disruptive and easier to use for long-term home sleep monitoring.
AB - Polysomnographic (PSG) recording of multiple physiological measures remains the gold standard for sleep assessment in both basic and clinical human sleep research. However, PSG requires many unnatural conditions that can influence sleep phenomena. Recently, non-contact sheet sensors (SS) have been developed for sleep evaluation. Sheet sensor technology provides advantages over existing minimally intrusive devices used to analyze sleep-related behavior, such as wrist actigraphy (WA), beginning with freedom from attachment to any probes or devices. Current SS measures additionally include two physiological measures - heart rate (HR) and respiration rate (RR). To test the validity of SS analyses, we performed simultaneous recordings of SS and standard PSG in thirteen healthy adult sleepers, with WA additionally available for nine of the subjects. Sleep period features were compared among the three methods, and HR and RR data from SS and PSG were compared. Comparisons between the automatic scoring of SS and WA and visual PSG scoring showed good sleep-wake discrimination (88.3% and 89.4% respectively). Sleep onset estimation relative to PSG was also good for both SS and WA (0.38 and -2.44 epoch differences, respectively). In addition, HR and RR measured by SS were also compared with PSG. Both HR and RR closely approximated PSG physiological measures (error rates: HR 2.4%, RR 4.3%). In summary, SS is expected to be less disruptive and easier to use for long-term home sleep monitoring.
KW - Heart rate
KW - Non-contact sheet-type sensor
KW - Respiration rate
KW - Sleep evaluation
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U2 - 10.1111/j.1479-8425.2011.00506.x
DO - 10.1111/j.1479-8425.2011.00506.x
M3 - Article
AN - SCOPUS:79960382289
SN - 1446-9235
VL - 9
SP - 178
EP - 187
JO - Sleep and Biological Rhythms
JF - Sleep and Biological Rhythms
IS - 3
ER -