Key result
Surrogate actigraphy estimated from ECG and respiratory effort signals demonstrated moderate correlation (ρ = 0.74) with reference wrist actigraphy and achieved statistically non-inferior sleep/wake classification performance.
Observational (n=40)
Single-blind
Yes
Effect estimate: ρ = 0.74 (95% CI 0.73-0.74)
p-value: p=<0.001
Actigraphy can be reliably estimated from motion artifacts in ECG and respiratory signals, allowing for accurate sleep/wake classification without needing a dedicated actigraphy device.
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May enable sleep/wake assessment during routine cardiopulmonary monitoring without dedicated devices; hypothesis-generating pending prospective validation.
Fonseca et al. (2015) conducted an observational in Healthy and Insomnia (n=40). Surrogate actigraphy from ECG and respiratory effort signals vs. Reference wrist actigraphy was evaluated on Correlation between surrogate actigraphy (ECG+RIP) and reference actigraphy (ρ = 0.74, 95% CI 0.73-0.74, p=<0.001). Surrogate actigraphy estimated from ECG and respiratory effort signals demonstrated moderate correlation (ρ = 0.74) with reference wrist actigraphy and achieved statistically non-inferior sleep/wake classification performance.
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