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Solution

Innovative blood pressure monitoring solution for healthcare professionals and patients

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Photoplethysmography (PPG) Sensor

Detects subtle blood flow changes in the finger vessels to accurately extract personalized blood pressure data.

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Deep-learning algorithm

Monitors blood pressure with high accuracy using advanced algorithms.

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Automatic Blood Pressure Measurement

A ring-type medical device optimized for accurate long-term tracking regardless of time or place

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Various platforms

Available on smartphone, tablet, PC

Clinical

Clinical Evidence
for Blood Pressure Measurement

1. Algorithm Validation with A-Line Data

Sky Labs Inc. proprietary deep learning algorithm was validated for accuracy using invasive arterial blood pressure monitoring (A-line) data as the reference standard.

Mean
Error
SD
Criteria
[mmHg]

< ±5

< ±8

SBP
[mmHg]

0.98

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6.97

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DBP
[mmHg]

0.52

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4.38

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Trained on 4,185 subjects and 320,535 A-line BP samples from an operating room, with 10% reserved for validation

2. Validation against Standard Sphygmomanomete

Proved accuracy and no performance differences were observed based on skin color, confirming reliability across populations.

Mean
Error
SD
Criteria
[mmHg]

< ±5

< ±8

SBP
[mmHg]

0.16

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5.90

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DBP
[mmHg]

-0.07

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4.68

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SBP (r = 0.94, P < 0.001), DBP (r = 0.95, P < 0.001)

3. 24-Hour ABPM Comparison: Daytime-Nighttime BP Change

CART BP pro tracked daytime and nighttime BP variations with high accuracy, aligning closely with ABPM readings and ESH(European Society of Hypertension) recommendations.

Mean Error
± SD
r *
Criteria
[mmHg]

< 5±8

≥ 0.7

SBP
[mmHg]

-3.39 ± 5.86

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0.73

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DBP
[mmHg]

-3.74 ± 4.72

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0.75

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* r (The correlation coefficient) quantifies the relationship between blood pressure readings obtained from CART BP pro and the reference standard, with vaues ranging from -1 to 1.

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