The science
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At Hinlab, we strive for continuous innovation. These are the key technologies that set our products apart from the competition.

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Physiological measurement & diagnostics

Hinlab uses the latest advances in optical technologies. We have partnered with leading researchers ensuring that our PPG (photoplethysmography) is world-class. By applying innovative, advanced algorithms, we provide monitoring that meets the most stringent requirements. We have begun to develop a patent portfolio that will be particularly valuable in the years to come.

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The internet of things (IoT)

Mastering IoT for medical devices is in our DNA. From energy consumption to ease of use, we design and manufacture devices that operate at low power, while offering sustained functionality over long periods. Cybersecurity is built in. From communication protocols to charging technologies, we carefully consider the features of all the product components and software.

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Hardware & Software

Hinlab is an ISO 13485 certified company. The hardware and software in our medical devices and solutions must meet the most rigorous standards, from design to manufacturing. Hinlab's quality management system is based on a particularly powerful system that documents and tracks every stage of the development process. Comprehensive and reliable, it rapidly documents all required processes, including risk management and unit testing.

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Artificial Intelligence (AI)

Hinlab products use AI to monitor patients' health parameters and predict potential complications. Our AI-powered diagnostics and smart alarms provide physicians with advanced tools to monitor health status of patients. By continuously extracting key biomarkers from multiple vital signs, our data-driven technology is paving the way for the future of personalized medicine. Our machine learning algorithms play a major role in the prevention and early detection of cardiovascular and respiratory diseases. Similarly, deterioration in a patient’s condition can be predicted more quickly by recognizing trends in biomarkers variations.

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