The watch with artificial intelligence constantly measures more than 100 groups of key parameters of the user's body. The universe of health becomes clearer with Accofrisk data.
One calibration with our recommended invasive glucometer.
Customisation of user personal data and measurement parameters.
Monitoring of health parameters in automatic or manual mode.
In-app monitoring of your health and the health of your loved ones.
Glucose
Cholesterol
Haemoglobin
Arteriosclerosis
Uric Acid
Fatigue Level
Lactic Acid
Blood Pressure
Cardiac Index
The watch has a function of controlling blood glucose levels in automatic or manual measurement modes.
Fructosamine or glycated albumin.
Health parameters associated with hypoglycemia.
Glycated haemoglobin (HbA1c).
Health parameters associated with diabetes.
For diabetic patients, the watch will help them react quickly to acute complications and take action in time to reduce risks. For others, these measurements will help prevent diabetes by monitoring average blood sugar levels.
Automatic or manual monitoring mode.
Minimum measurement frequency is once every 10 minutes.
Customisable measurement intervals.
Measurement accuracy to hundredths of a decimal point.
Self-monitoring with Accofrisk measurements can help you feel more motivated to control your blood pressure by improving diet, physical activity and proper medication use.
Convenient monitoring without a pump.
Measurements during heart relaxation (diastole).
Lower and upper-level graphs.
Measurements during heart contraction (systole).
HEART
LUNGS
LIVER
RENAL
BRAIN
BLOOD
– Coronary perfusion pressure (CCP);
– Myocardial perfusion (CMBV);
– Cardiac output force (CPO);
– Myocardial blood supply and consumption rate (CMBR);
– Right ventricular stroke work (RVSW);
– Myocardial blood demand (CMBN).
– Cardiac function index (CFI);
– Cardiac index (CI);
– Left ventricular stroke work index (LVWI).
As part of the pre-symptomatic diagnosis concept, we have implemented a risk assessment and disease prediction function. To date, we predict the following diagnoses, the list of which is constantly expanding.
Myocarditis, myocardial hypoxia, ischaemic heart disease.
Brain infarction, aneurysm, cerebral arterial and venous malformation.
Gout, primary glomerulonephritis, uremia, hyperuricaemia, severe urinary tract infections.
Complementary diagnosis of chronic obstructive pulmonary disease.
Prediabetes and all types of diabetes.
* Consult your doctor and undergo additional tests to confirm the diagnosis.
he Borges Ai subsystem measures and calculates about 40 sleep health indicators on a low-normal-high scale. All predictions of the user's health status, probability of disease development, and recommendations are based on sleep health diagnostics.
The app provide a complete analysis of the state of the body systems in relation to physical activity, lifestyle and sports.
The section forms recommendations for types of physical activity and suggests exercise sets.
The user can set exercise goals and track their achievement.
MENTAL HEALTH
MEDICATION RECEPTION
FATIGUE MONITORING
NUTRITION & DIET
We determine the state of mental health in terms of stress assessment, mental health risks and emotion monitoring.
Then, for each assessment, recommendations are generated in the format - assessment results, psychological suggestions, behavioural recommendations, dietary recommendations.
You can connect up to 20 accounts of people close to you - family or friends - and track their health status. You will be notified if the parameters deviate from the norm or if the SOS button is pressed on the connected watch.
Monitor a number of important body systems across more than 100 parameters and indices.
Highly accurate measurement of parameters - measuring sugar to the nearest hundredth.
The AI itself interprets the parameters and generates recommendations for each body system.
Compared to analyses and other methods of measuring baseline parameters.
Manual or automatic measurement of parameters at 10-minute intervals.
The user's wrist is scanned by a sensor with safe LED emission.
The watch's sensors read volumetric pulse wave and thermal metabolism signals on the radial artery of the user's wrist, and health parameters and major body systems are calculated by ARIA semantic artificial intelligence.
LCD display - 1.63-1.78 AMOLED.
Screen resolution - 368 * 488 pixels.
Square shape of the dial.
Metal and plastic case (Germany Bayer PC materials), zirconium, sapphire crystal.
Natural leather strap (Italian cowhide strap). The bracelet has a disc-shaped sensor that rests on the radial artery of the wrist when worn.
Colours - blue, gold, grey, black.
Processor (CPU)- MTK6737 - MTK6740, 4 core, 1.5 GHZ.
Memory (RAM) - 1GB.
Memory (ROM) - 8GB.
Heart rate sensor, accelerator, air pressure sensor - Optical chip low-power heart rate monitor PAH8011ES (PixArt Imaging Inc.).
Operating system - Android 4.4+ and IOS 8.0+.
WI-FI, Bluetooth, eSIM.
Wireless distance - 10 metres.
Version for iOS and Android.
Accessible via QR code located on the watch box.
The battery capacity is a 510 mAh polymer lithium battery.
It takes 1 hour to charge fully from scratch.
Operating time of one battery charge / manual monitoring mode - 120 hours.
Operating time of one battery charge / automatic monitoring mode - 60 hours.
Charging mode - magnetic suction charging base.
Electrical sensing - three-axis motion sensor.
Plastic case.
$1,350
$950
Zirconium case.
$1,750
$1350
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