Research Article

Real-Time Chest Compression Quality Measurements by Smartphone Camera

Table 1

Detailed description of the subtests included in the 5 tests performed to both measure the accuracy of QCPR cam-app 2.0’s ability to detect the compression rate under various conditions and to evaluate the CPR summary parameters calculated after an ended session.

Subtest nameCompression rate (cpm)Duration (s)Camera positionLightingMeasures

Smartphone position test ()
RateP126Normal60, 100, 120, 15060 x 4Pos.1480 lux,
D1R110P126Disturb. person110120Pos.1480 lux,
30:2P130:211090Pos.1480 lux,
LightP1Dimmed light11060Pos.17 lux,
R100P2Small part of image frame (position Change)10060Pos.2480 lux,
R150P2Small part of image frame (position Change)15060Pos.2480 lux,
30:2P330:2 (position Change)11090Pos.3480 lux,
R100P3Normal (position Change)10060Pos.3480 lux,

Outdoor test ()
OCBR110P1Cloudy with noisy (threes) background11060Pos.1Cloudy weather,
OCR110P1Cloudy with no background11060Pos.1Cloudy weather,
OSBR110P1Sunny with noisy (threes) background11060Pos.1Sunny weather,
OSR110P1Sunny with no background11060Pos.1Sunny weather,

Disturbance test ()
D2R110P1Disturbing person110180Pos.1Normal indoor,

Random movement test ()
Ran.MovP1Random movements150Pos.1Normal indoor

CPR summary report test ()
CPRsrR110P1Compressions with pauses110580Pos.1Normal indoor

R = rate; P = position; D = disturbance; O = outdoor; B = noisy background; C = cloudy; S = sunny; CPRsr = CPR summary report.