Table 1 Baseline characteristics of study participants.

From: Impact of recording length and other arrhythmias on atrial fibrillation detection from wrist photoplethysmogram using smartwatches

Clinical characteristics

n = 116

Age, years

59.6 ± 11.4

Male

78 (67.2)

BW, kg

72.3 ± 13.3

BH, cm

165.4 ± 9.2

BMI, kg/m2

26.3 ± 3.6

Smoking

34 (29.3)

CHADS2-Vasc score

1.9 ± 1.5

Congestive heart failure

15 (12.9)

NYHA Fc

I

6 (5.2)

II

6 (5.2)

III

3 (2.6)

IV

0

Hypertension

60 (51.7)

Diabetes mellitus

29 (25.0)

Cerebral vascular accidence/TIA

11 (9.5)

Coronary artery disease

8 (6.9)

Peripheral artery disease

0

Chronic kidney disease

12 (10.3)

End stage renal disease

3 (2.6)

Classification of atrial fibrillation

Paroxysmal atrial fibrillation

76 (65)

Persistent atrial fibrillation

40 (35)

Type of procedure

Radiofrequency catheter ablation

82 (70.7)

Cryoballoon ablation

22 (19.0)

Cardioversion

12 (10.3)

Pharmacologic therapy

Beta-blockers

78 (67.2)

ACEi/ARB

46 (39.7)

Calcium channel blockers

27 (23.3)

Diuretics

30 (25.9)

Amiodarone

68 (58.6)

Propafenone

47 (40.5)

Dronedarone

3 (2.6)

Sotalol

4 (3.4)

Flecainide

11 (9.5)

Digoxin

3 (2.6)