The present study aimed to explore the validity of a wireless dry headband technology for long-term home sleep monitoring, through a comparison with concurrent actigraphic recording. Nineteen healthy volunteers (nine females; age range: 22–63 years) slept in their home simultaneously using the wireless dry sensor system (WS) and Basic Mini-Motionlogger1 (MML) actigraph. In all we collected 204 valid actigraphic and wireless recordings. We focused on comparisons of these sleep measures: sleep onset latency, wake after sleep onset, total sleep time and sleep efficiency. WS overestimated sleep onset latency and wake after sleep onset in comparison to MML, and underestimated total sleep time and sleep efficiency. On the basis of the present data, WS can be considered a reliable tool for the long-term home sleep monitoring.
Tonetti L., Fábregas S.E., Fabbri M., Occhionero M., Erbacci A., Martoni M., et al. (2013). Comparison of a wireless dry headband technology for sleep monitoring with actigraphy in healthy adults. BIOLOGICAL RHYTHM RESEARCH, 44, 333-338 [10.1080/09291016.2012.692252].
Comparison of a wireless dry headband technology for sleep monitoring with actigraphy in healthy adults
TONETTI, LORENZO;FABBRI, MARCO;OCCHIONERO, MIRANDA;MARTONI, MONICA;NATALE, VINCENZO
2013
Abstract
The present study aimed to explore the validity of a wireless dry headband technology for long-term home sleep monitoring, through a comparison with concurrent actigraphic recording. Nineteen healthy volunteers (nine females; age range: 22–63 years) slept in their home simultaneously using the wireless dry sensor system (WS) and Basic Mini-Motionlogger1 (MML) actigraph. In all we collected 204 valid actigraphic and wireless recordings. We focused on comparisons of these sleep measures: sleep onset latency, wake after sleep onset, total sleep time and sleep efficiency. WS overestimated sleep onset latency and wake after sleep onset in comparison to MML, and underestimated total sleep time and sleep efficiency. On the basis of the present data, WS can be considered a reliable tool for the long-term home sleep monitoring.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
