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. 2021 Jan 8;44(8):zsab060. doi: 10.1093/sleep/zsab060

Table 2.

Classification performance statistics

Model type* Dataset Sensor type/placement Accuracy
[%]
Specificity
[%]
Sensitivity
[%]
Cohen's kappa*100
Four past, two future Healthy volunteers
test set
Radar nightstand 94.8 (1.7) 89.8 (7.1) 96.6 (1.6) 86.9 (5.4)
Radar ceiling 93.8 (2.3) 86.3 (7.4) 96.6 (2.1) 84.3 (6.6)
Actigraphy 93.1 (1.2) 85.4 (7.4) 96.0 (2.8) 82.6 (3.2)
Five past, zero future (real time) Healthy volunteers
test set
Radar nightstand 94.5 (1.6) 89.5 (6.4) 96.3 (1.5) 86.3 (4.9)
Radar ceiling 93.3 (2.4) 85.4 (7.7) 96.3 (1.9) 83.1 (6.8)
Actigraphy 92.7 (1.1) 83.9 (7.7) 96.1 (2.6) 81.5 (3.2)
Four past, two future Patients with sleep disorders Radar nightstand 80.9 (15.7) 53.7 (18.4) 89.5 (16.9) 44.8 (25.6)
Actigraph 83.8 (9.0) 74.3 (20.0) 89.4 (7.3) 53.3 (15.8)
Five past, zero future (real time) Patients with sleep disorders Radar nightstand 80.9 (15.3) 53.4 (18.7) 89.7 (16.5) 44.3 (24.8)
Actigraphy 84.1 (9.0) 74.0 (20.2) 89.9 (6.9) 53.8 (16.2)

Epoch-by-epoch classification performance statistics for two models, both with the heuristic Cole–Kripke rescoring rules applied, compared to PSG§-determined sleep/wake. Mean (SD) over the participants in the datasets.

*The models are defined by the number of preceding (past) and succeeding (future) epochs used to score a present epoch.

n = 12, mean age ± SD: 23.0 ± 3.1 years, 5 male, 4 nights of PSG + actigraphy + two radars per participant. The participants were randomly assigned into a training set for model development (n = 24/22 for nightstand/ceiling), and a testing set for validation (n = 23/21 for nightstand/ceiling). Values were calculated for all epochs from each participant first, then averaged together.

Ambulatory sleep disorder patients. n = 28, mean age ± SD: 46.25 ± 13.98 years, 19 male.

§PSG = polysomnography.