COVID-19 Test Equipment

This project attempts developing special microminiaturized sensor-fusion driven haptic device and AI/ML-powered predictive modelling technique for analysing physiological signals as being associated with likelihood of COVID-19 onset. Development of home-use, haptic hand-held device was investigated to capture onsets 1-2 days prior to appearance of symptoms. Early-stage experiment identified that no single measurement was capable of delivering such warning. However, we hypothesized multi-sensor-fusion method and device to concurrently analyse multiple measurements, including galvanic-skin-response (GSR), vasoconstriction, volatile organic components (VOC), heart-rate (HR) variability, photoplethysmography, oxygen/O2 saturation.

Hence, this project develops and investigates non-traditional sensor-fusion device combining VOC+GSR+HR+O2 detection and intelligent real-time (RT) analysis approach to identify Covid-19 biomarkers. We design sensor-fusion-driven system that analyses armpits/palms/fingers sweat odour of COVID-19 persons, which is different. Thereby, we develop continuous/periodic- monitoring device emeddable into haptic human interface and special computer mouse we design. Also, intelligent AI model had to be developed to correlate multi-sensor fused measurements with COVID-19 signatures through AI/ML (unique VOC signatures reflect malarial infections).

PULSE / OXYGEN SENSOR

Fig.1 - Programming Microcontroller Pulse/oxygen test envaroment


Fig.2 - Combining different sensors

Short Video

GALVANIC SKIN RESPONSE EXPIREMENTS






GALVANIC SKIN RESPONSE

Fig.4 - Testing skin response

GALVANIC SKIN RESPONSE EXPIREMENTS



SMELL SENSOR

Fig.3 - Testing Combination of different sensors and hardware requarements

SKIN/BODY SMELL EXPIREMENTS