Measurement Algorithm Control and Optimization With Subsequent Performance Evaluation of Sanmina Non-invasive Biosensors During a Standardized Meal Test in Patients With Diabetes Mellitus Type 1 and Type 2

Measurement Algorithm Control and Optimization With Subsequent Performance Evaluation of Sanmina Non-invasive Biosensors During a Standardized Meal Test in Patients With Diabetes Mellitus Type 1 and Type 2

Measurement Algorithm Control and Optimization With Subsequent Performance Evaluation of Sanmina Non-invasive Biosensors During a Standardized Meal Test in Patients With Diabetes Mellitus Type 1 and Type 2

Measurement algorithm control and optimization with subsequent performance evaluation of Sanmina biosensors in monitoring of glucose, heart rate (HR), and SpO2 in patients with type 1 and type 2 diabetes during a standardized meal experiment.

This study is a combined, open label, prospective, comparative single-center study. The study is separated in 3 consecutive study parts. The first 2 study parts include 12 patients each. In the third study part 36 patients will be enrolled. Study part 1 and 2 will be used for optimization and control of the measurement algorithms of the Sanmina biosensors. During the third study part with enrolment of 36 patients, the precision and accuracy of the final Sanmina biosensor algorithm will be demonstrated. The study conduct for all 60 participants of all 3 study parts will be exactly the same. In all groups of participants, the Sanmina finger clip and wearable non-invasive monitoring biosensor will be individually introduced and assigned. During the study visit at the study site, a standardized meal will be given to the participants. At eleven time points before and after the standardized meal, glucose, heart rate, and pO2 will be measured using the Sanmina finger clip and wearable non-invasive monitoring biosensor. The measurement time points are -30, 0, 15, 30, 45, 60, 75, 90, 120, 150 and 180 min. The measurements will be compared to capillary blood glucose measurements by YSI Stat 2300 and StatStrip (glucose), and parallel measurements of the heart rate and the pO2 using a patient monitor. Further the exact skin colour will be evaluated using a skin colour card.

The first 2 study parts include 12 patients each. In the third study part 36 patients will be enrolled. Study part 1 and 2 will be used for optimization and control of the measurement algorithms of the Sanmina biosensors. During the third study part with enrolment of 36 patients, the precision and accuracy of the final Sanmina biosensor algorithm will be demonstrated.

The first study part/arm includes 12 patients and will be used for optimization and control of the measurement algorithms of the Sanmina biosensors.

The second study part/arm includes 12 patients and will be used for optimization and control of the measurement algorithms of the Sanmina biosensors.

During the third study part with enrolment of 36 patients, the precision and accuracy of the final Sanmina biosensor algorithm will be demonstrated.

non-invasive blood glucose measurement using the Sanmina Biosensor referenced with the invasive reference blood glucose device YSI 2400 Plus.

performance and accuracy of the Sanmina biosensors (wearable and finger clip) in monitoring glucose levels (mg/dL) during a standardized meal experiment. Measurements (during the meal experiment) of the Sanmina biosensor will be compared to the capillary blood glucose reference method YSI STAT 2300 (glucose, in mg/dL).

performance and accuracy of the Sanmina biosensors (wearable and finger clip) in monitoring pO2 (%) during a standardized meal experiment. PO2-measurements (during the meal experiment) of the Sanmina biosensor will be compared to the patient monitor (%).

performance and accuracy of the Sanmina biosensors (wearable and finger clip) in monitoring heart rate (pulse/min) during a standardized meal experiment. Heart rate measurements (during the meal experiment) of the Sanmina biosensor will be compared to the patient monitor heart rate(pulse/min).

Inclusion Criteria: Type 1 or Type 2 diabetic subjects or healthy probands Subjects who are able to complete informed consent form (by him/herself or by his/her guardian); 18 years old and above; Anatomically suitable finger in discretion of the investigator Exclusion Criteria: Does not meet inclusion criteria; Any conditions that may hamper good visual contact between the finger or wrist and sensor, such as raised birthmarks, scars, tattoos; Pregnancy; Nursing mothers; Any skin scratch(es), damage, over dry, long nails on the measured finger; Unsuitable finger with the device might be excluded if recognized during the trial; Medication containing nitrates