Development and Validation of the Digital Sensor Kariasa (SenDiKa 1.0 & 2.0): A Non-Invasive Prototype for Simultaneous Measurement of Blood Pressure, Blood Glucose, and Cholesterol
DOI:
https://doi.org/10.56294/saludcyt20252326Keywords:
Non-invasive sensor, infrared technology, blood glucose, cholesterol, blood pressure, stroke preventionAbstract
Introduction: Recurrent stroke remains one of the leading causes of morbidity and mortality worldwide. Monitoring key metabolic and cardiovascular risk factors—blood pressure, blood glucose, and cholesterol—typically requires invasive and separate measurements. This study presents the development and validation of a portable non-invasive device, the Digital Sensor Kariasa (SenDiKa 1.0), designed to simultaneously measure these three parameters using infrared technology.
Methods: The prototype was developed through a multi-stage process: (1) literature review and selection of a 1200 nm infrared sensor, imported due to limited regional availability; (2) integration with KY-039 module and Arduino UNO microcontroller; (3) determination of zero offset (value 849) for signal calibration; (4) progressive calibration through 70 experimental measurements (October–December 2019), applying linear regression to establish predictive equations; and (5) validation through 264 measurements compared with standard invasive devices. Sensitivity and specificity were analyzed using chi-square tests.
Results: Final equations demonstrated strong correlation with standard values, achieving coefficients of determination up to 0,9455. Validation results showed high sensitivity and specificity: blood pressure (94.5% and 72,7%), blood glucose (96,3% and 79,4%), and cholesterol (64,5% and 89,4%). The prototype was portable (15 × 9 × 4 cm), powered by 12V 1.2A, with real-time results displayed on a 2,4” LCD.
Conclusions: SenDiKa 1.0 successfully demonstrated the feasibility of a non-invasive, portable device for simultaneous measurement of three major stroke risk factors, with good sensitivity and specificity. While blood pressure and glucose achieved excellent agreement with manual methods, cholesterol measurement requires further refinement. This prototype has potential applications in primary care, community health screening, and home monitoring.
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Copyright (c) 2025 I Made Kariasa, Raldi Artono Koestoer, I Gede Juanamasta (Author)
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