We've created a smartwatch powered by artificial intelligence that provides users with continuous health data.
How it Works
A volumetric pulse wave is a signal that can be used for non-invasive monitoring and forms the foundation of our technology for determining key health metrics.
The pulse wave is captured by sensors on the Acoofrisk smartwatch and transmitted in real-time to ARIA artificial intelligence for processing.
ARIA includes both a neural network (NN) and a semantic network (SN). The NN is responsible for learning from incoming data and generating personalized benchmarks for the user. The SN is a graph of health parameters, biological knowledge, interdisciplinary insights, and personalized recommendations.
Key Parameters Measured by the Watch
Currently, the watch measures over 100 different health parameters. It tracks major body systems and the user’s lifestyle factors, such as nutrition and diet, physical activity, and sleep. It also monitors mental health, fatigue levels, and the effects of medication.
Popular Measurements Include:
- Glucose
- Cholesterol
- Hemoglobin
- Arteriosclerosis
- Uric Acid
- Lactic Acid
- Fatigue Level
- Blood Pressure
- Calories, proteins, fats, carbohydrates
Non-invasive Glucometer
We've paid special attention to people with all types of diabetes. The watch includes a function for monitoring blood glucose levels, both automatically and in manual measurement modes.
The watch measures:
- Fructosamine or glycated albumin
- Health parameters related to hypoglycemia
- Glycated hemoglobin (HbA1c)
- Health parameters related to diabetes
Features of the Glucometer:
- Automatic or manual monitoring mode
- Measurement frequency as low as every 10 minutes
- Customizable measurement intervals
- Measurement accuracy to two decimal places
Predictions and Risk Assessment
The watch can evaluate disease risks and provide predictions based on these risks.
Heart: Myocarditis, myocardial hypoxia, ischemic heart disease
Brain: Cerebral infarction, aneurysm, cerebral arterial and venous malformation
Kidneys: Gout, glomerulonephritis, uremia, hyperuricemia, severe urinary tract infections
Lungs: Supportive diagnosis of chronic obstructive pulmonary disease
Blood: Prediabetes and all types of diabetes
Getting Started
When using the watch for the first time, you need to sync it with a conventional glucometer. This should be done in the morning before breakfast. After that, enter your personal data and preferred measurement parameters (e.g., desired measurement intervals). Once this setup is complete, the watch is ready to use, and all measurement data will be displayed in the mobile app.
Features of the Watch
✓ SOS Button: The watch has an SOS feature to send messages to your loved ones in case of critical health measurements. You can connect up to 20 contacts.
✓ Continuous Measurement Mode: The watch can continuously measure your health data with a minimum interval of once every 10 minutes, or you can initiate on-demand measurements.
✓ Heart Rate Monitor: The watch strap features a safe, low-power optical chip that measures the user's pulse wave.
✓ Mobile App Integration: *All data is visible in the mobile app, and key metrics can be displayed on the watch face.
*✓ Battery Life:
- Manual monitoring mode: 120 hours of battery life.
- Automatic monitoring mode: 60 hours of battery life.
✓ Durability: The watch case is available in two versions: high-quality plastic and zirconium.
We’ll be covering more of the watch's features in upcoming posts.
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