AI Heart Health Tracker ACCO. Artificial Intelligence Heart Health Scoring During Physical Activity.

🏃❤️ Your heart during exercise is far more than just heart rate numbers on a screen. Ordinary fitness trackers can count beats per minute, but they cannot tell whether your myocardium is getting enough oxygen, whether coronary perfusion is falling, or whether your blood is becoming dangerously viscous under stress. Ischemia, hypoxia, thrombosis, arrhythmias, and hidden perfusion disorders can develop silently within 10–15 minutes of intense activity — often before the first symptom appears. In this article, we break down the 9 most dangerous heart conditions during sports that the ACCO AI Heart Health Tracker can detect every 5 minutes using advanced artificial intelligence and non-invasive monitoring. Learn how predictive cardiac analytics, microcirculation assessment, oxygen consumption analysis, and AI-powered risk forecasting transform a smartwatch from a simple fitness gadget into a personal cardiologist on your wrist. 🚨⌚

AI-Powered Brain Health Monitoring During Physical Activity and Sports.

Have you ever felt "brain fog" after a hard workout? Or sudden weakness in the middle of a run? Or dizziness when you stood up with a barbell? We usually chalk it up to fatigue. To simply "overdoing it." To the weather, lack of sleep, stress. But what if the cause isn't your muscles — but your brain? What if your brain is getting overloaded, suffocating without oxygen, while the blood vessels inside your skull are working at their limit — and you don't even suspect it? 👉 In this post, we explore how the ACCO AI smartwatch can help you monitor your brain during physical activity, running, and sports

AI Watches Reveal Your Slippery Pulse.

Can a AI watch detect the ancient Chinese medicine pattern known as "slippery pulse"? Modern AI-powered wearables like ACCO AI Health Watch do not rely on subjective pulse reading. Instead, they analyze dozens of physiological indicators related to blood viscosity, insulin resistance, microcirculation, body composition, liver function, kidney health, oxygen metabolism, stress, and cardiovascular performance. In this article, we explore how artificial intelligence transforms a traditional diagnostic concept into measurable health insights, helping users identify potential metabolic and cardiovascular risks long before symptoms appear.

AI-Powered Lung Health. How ACCO AI Watches Monitor Lung Health During Running and Sports Activities.

Your lungs do not hurt. They do not send signals like the heart. You can run a marathon with decreased alveolar ventilation or elevated CO₂ in your blood — and feel nothing beyond ordinary fatigue. ACCO AI Watches measure 16 respiratory parameters every 5 minutes and warn about risks of hypoxia, hypercapnia, and right ventricular overload before you collapse or lose consciousness. No symptoms. No shortness of breath. But AI already sees the risk. Read the full post.

Abu Dhabi Global Health Week 2025.

The Accofrisk team participated in the Abu Dhabi Global Health Week 2025, which took place from April 15 to 17 in Abu Dhabi. These three days were the busiest of the year for us. Hundreds of presentations of our AI, dozens of contacts, several signed partnership agreements - these were our main results. Thank you to the Abu Dhabi Department of Health for inviting us to a mega-significant event in the world of medicine.

CheckApp AI Conference on October 10th, 2024.

We became speakers at the conference. The event was attended by all those interested in artificial intelligence, healthcare, preventive and predictive medicine, and emerging technologies. The event brought together leading experts and developers implementing machine learning technologies that will shape the future of AI diagnostics and innovation. The event was attended by individuals and representatives from the United States, Latin America, the Caribbean, Europe, the Middle East and Asia.

Clinical Trials of Our Non-invasive Watch in China.

Accofrisk's AI measurement performance was tested at the Chongqing Red Cross Hospital (Jiangbei County People's Hospital) under the supervision of Prof. Liang. The results confirm that the measurements meet the requirements set forth in the “Chinese Guideline on Clinical Application of Blood Glucose Monitoring” (2021 edition).

Author Oleg Tikhonenko.

Accofrisk's AI Health Assistant.

This paper proposes a method for non-invasive blood sugar determination by arterial pulse. A technique has been developed to collect volumetric pulse wave signal and thermal metabolic signal at the radial artery of the subject's wrist. This method will allow everyone to monitor blood glucose levels according to a personalized effective range of blood glucose levels based on a scientific approach.

Author Oleg Tikhonenko.

Method Of Non-Invasive Of Blood Sugar By Arterial Pulse.

This paper proposes a method for non-invasive blood sugar determination by arterial pulse. A technique has been developed to collect volumetric pulse wave signal and thermal metabolic signal at the radial artery of the subject's wrist. This method will allow everyone to monitor blood glucose levels according to a personalized effective range of blood glucose levels based on a scientific approach.

Author Zlata Tikhonenko.

Defining The Concept Of Pulse Conditions.

The article is devoted to the objectification of pulse diagnostics, methods of extraction and analysis of pulse parameters and pulse signal processing, to explain morphological changes in various pulse wave forms, based on optical methods and the use of wearable devices working with photoplethysmography to solve these problems.

Author Zlata Tikhonenko.