Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 12, 2012IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

The mean agreement ratios between the proposed method and the R-K method for 6, 5, and 3 categories were 51.6%, 56.2%, and 77.5%, with kappa statistics of 0.29, 0.39, and 0.48, respectively.

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Does a noninvasive sleep-stage decision algorithm using heartbeat and body-movement signals accurately estimate sleep stages compared to the standard R-K method?

Population

Subjects undergoing sleep stage estimation

Comparison

Noninvasive sleep-stage decision algorithm using… vs Rechtschaffen and Kales method using…

Design

Other

Authors

YKYosuke KuriharaKWKajiro Watanabe

Discussion

Loading...

Member takes

Overview

Moderate agreement in Level 5 data; leaves open validation in prospective trials before any clinical adoption.

Structured PICO

Does a noninvasive sleep-stage decision algorithm using heartbeat and body-movement signals accurately estimate sleep stages compared to the standard R-K method?

P
Population
Subjects undergoing sleep stage estimation
I
Intervention
Noninvasive sleep-stage decision algorithm using heartbeat and body-movement signals measured by a noninvasive pneumatic method
C
Comparator
Rechtschaffen and Kales (R-K) method using Electroencephalogram and Electromyography
O
Outcome
Agreement ratio and kappa statistics between the proposed method and the R-K method for sleep stage categorization

A noninvasive algorithm using heartbeat and body-movement signals shows moderate agreement with the standard R-K method for sleep stage estimation.

Cite This Study

Kurihara et al. (2012) studied this question.

synapsesocial.com/papers/6a82c6fb308914171a4705e6https://doi.org/10.1109/tsmca.2012.2192264
View Full Paper
Ask AI
Bookmark
Share