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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data

Fig. 1

Schematic of feature extraction. The fragment lengths are not the full 24-hour or nocturnal sleep stages, and the screenshots of physiological signals in the figure are illustrative only. SDNN, the standard deviation of the normal heart beats (RR intervals); RMSSD, the square root of the mean of the sum of successive differences between adjacent RR intervals; pnni50, the proportion of RR intervals greater than 50ms, out of the total number of RR intervals; LF, low frequency; HF, high frequency; arrhythmic burden, the proportion of the number of the difference between the two RR intervals greater than 145 ms in the total number of RR intervals; NREM1_per, percentage of NREM (Non-Rapid Eye Movement)1 sleep periods; NREM2_per, percentage of NREM2 sleep periods; NREM3_per, percentage of NREM3 sleep periods; REM_per, percentage of REM (Rapid Eye Movement) sleep periods; AHI, apnea-hypopnea index; BMI, body mass index; NYHA, New York Heart Association; EuroSCORE II, the European System for Cardiac Operative Risk Evaluation II; PPCs, postoperative pulmonary complications; TAVR, transcatheter aortic valve replacement; SAVR, surgical aortic valve replacement

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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