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
Lactic Acid
Fatigue Level
Blood Pressure
Calories, proteins, fats, carbohydrates
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).
– Arterial oxygen saturation (SaO2);
– Oxygen consumption (VO2);
– Pulmonary Vascular Permeability Index (PVPI);
– Pulmonary blood volume (PBV);
– Arterial oxygen tension (PaO2);
– Intrapulmonary shunt fraction (Qs/Qt);
– Mean pulmonary arterial pressure (MPAP);
– Oxygen extraction ration (O2ER).
– Alveolar ventilation (VA);
– Minute ventilation volume (VE);
– Oxygen consumption (VO2);
– Inspired oxygen tension (PiO2);
– Respiratory quotient (RQ);
– Arterial partial pressure of carbon dioxide (PaCO2);
– Vein partial pressure of carbon dioxide (PvCO2);
– Dead space ventilation (VD);
– Rapid Shallow Breath Index (RSBI).
– Blood Ammonia (BA);
– Aspartate aminotransferase (AST);
– Alanine aminotransferase (ALT);
– Blood lactic acid (Lac);
– Islets B cells insulin (HOMA-B);
– Insulin resistance index (HOMA-IR);
– Other parameters and indexes.
– Renal filtration fraction (GFF);
– Renal perfusion pressure (RPP);
– Renal blood flow (RBF);
– Uric acid (UA);
– Serum creatinine (SCr);
– Blood urea nitrogen (BUN).
– Cerebral blood flow (CVR);
– Jugular Oxygenation (SjVO2);
– Cerebral perfusion pressure (CPP);
– Jugular venous oxygen content (CjVO2);
– Cerebral blood flow (CBF);
– Cerebral blood volume (CBV);
– Intracranial pressure (ICP);
– Carotid-venous oxygen content (ajVDO2);
– Fibrinogen (FIB);
– Cerebral oxygen metabolic rate (CMRO2).
Monitoring and measurement of parameters related to the prevention of cerebral infarction, aneurysm, cerebral arterial and venous malformation and other diseases.
Whole blood viscosity measurements are performed for the diagnosis, treatment and prevention of pre-thrombotic conditions and thrombotic diseases.
– Systemic blood flow (QS);
– Microcirculation half update rate (MHR);
– Microcirculation half update time (MRT);
– Mean retention time of microcirculation (MST).
– Arterial oxygen tension (PaO2);
– Vein oxygen saturation (SvO2);
– Pulmonary vascular resistance (PVR);
– Artery blood oxygen pressure (OI);
– Mean pulmonary arterial pressure (MPAP);
– Alveolar ventilation (VA);
– Oxygen consumption (VO2).
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.
– MBI (body mass index). |
– RMR (resting metabolic rate). |
– Fat percentage. |
– Muscle mass (%). |
– Obese mass. |
– O and CO, metabolic P(va)CO analyses. |
– Analysis of daily heat intake. |
– Carbohydrate, fat and protein intake. |
Heart work during exercise is monitored in the app for the selected period by parameters -.
– Effective left ventricular energy utilization.
– Total final ejection fraction.
– Effective left ventricular pumping power.
– Cardiac function index.
– Left ventricular work capacity.
– Cardiac ejection force.
– Cardiac index.
– Left ventricular stroke work index.
Charts with trends of indicators related to daily physical activity:
– Oxygen consumption.
– Cardiac output.
– Blood lactic acid content.
– Alveolar ventilation volume.
– Oxygen metabolism, brain oxygen consumption.
– Myocardial blood requirement.
– Cardiac ejection force.
– Entropy of respiration.
– Lung ventilation per minute.
Physical Fitness Assessment.
Athletic goals and timelines for achieving them.
A guidebook with exercise groups.
Before the user receives personalized exercise recommendations and can follow them and track analytics, the AI will take some time to collect data about the user's health status.
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.
Select from the list of prescribed medications you take and monitor their effect on the body state in the form of reports generated by the results of measurements and AI work.
The user can choose between medicines or Chinese medicine products.
There is a reminder of the need to take medication.
Mental and physical fatigue is analysed. The fatigue index for both is divided into three levels - Vigorous (0-13), Mild fatigue (30-80), Severe fatigue (80-100). The app generates tips for normalising fatigue levels.
Monitoring of possible from problems - poor metabolism, obesity, overeating, low muscle mass, etc.
The results of the analysis generate graphs of actual protein, fat and carbohydrate intake, as well as a graph of calories consumed and calories expended.
This section shows how nutrition affects the functioning of the major body systems - heart, lungs, liver and brain. Recommendations are framed in context - modify the diet according to the level of reasonable total energy intake. For example, a particular set of diets will be recommended for unstable heart function.
We have created several balanced nutrition packages to help the user reduce body weight, reduce body fat, reduce inflammation, components of metabolic syndrome and cardiovascular disease factors. Product bundles are listed for each package:
✓ Energy value in kilocalories.
✓ Nutrient analysis in percentages.
✓ A separate section contains our favourite recipes for a healthy lifestyle.
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.
Chongqing Red Cross Hospital (Jiangbei County People's Hospital), under the supervision of Prof. Liang, tested the measurement performance of Accofrisk Watch AI. The results confirm that the measurements meet the requirements set out in the “Chinese Guideline on Clinical Application of Blood Glucose Monitoring” (2021 edition).
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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