LifeLeafTM
LifeLeaf: a Revolutionary Smartwatch
The LifeLeaf solution is both client (the user) and server (the cloud) based and consists of four major components:
- our patent pending multi-sensor smartwatch hosting novel physiological parameter extraction algorithms
- mobile application
- cloud-based data hosting and
- AI-driven predictive analytics desktop portal
These technologies seamlessly operate in our integrated end-to-end solution, and perform individualized deep-learning with artificial intelligence. LifeLeaf provides optimal user-specific information, alerts, warnings and preventative action recommendations.
LifeLeaf: A Revolutionary Smartwatch
The LifeLeaf solution is both client (the user) and server (the cloud) based and consists of four major components:
- our patent pending multi-sensor smartwatch hosting novel physiological parameter extraction algorithms
- mobile application
- cloud-based data hosting and
- AI-driven predictive analytics desktop portal
These technologies seamlessly operate in our integrated end-to-end solution, and perform individualized deep-learning with artificial intelligence. LifeLeaf provides optimal user-specific information, alerts, warnings and preventative action recommendations.
Smartwatch
Our patent-pending LifeLeaf smartwatch non-invasively and continuously extract major physiological parameters in clinically accepted standards.It is the combination of these various clinically accepted health parameters that allow us to determine your level of risk for certain chronic diseases. We use an optical signal, called Photo-PlethysmoGraph (PPG) non-invasively, with minimal power consumption. This results in a mainstream Smartwatch, that is comfortable for continuous use – only now you get the added benefit of continuous tracking of your chronic health risks as well. The embedded novel parameter extraction algorithms combine the latest advances of digital signal processing and machine learning to continuously adapt to each individual’s health and generate personalized actionable insights in real-time.
Mobile Application
LifeLeaf mobile application is the primary user interface. It performs two critical functions: (1) Sends information from the Smartwatch to the backend cloud interface for permanent storage and further statistical analysis, and (2) Receives actionable alerts and push notifications resulting from analyzed information. Users may view the data in real-time through a friendly user interface.
Mobile Application
LifeLeaf mobile application is the primary user interface. It performs two critical functions: (1) Sends information from the Smartwatch to the backend cloud interface for permanent storage and further statistical analysis, and (2) Receives actionable alerts and push notifications resulting from analyzed information. Users may view the data in real-time through a friendly user interface.
Web Portal
The LifeLeaf web portal provides detailed vital health information, alerts, notifications and corrective actions to users at their fingertips. The data can also be shared with family members and medical community. With the real-time insights into the user’s daily vital health statistics, it is expected to cause a paradigm shift in preventative healthcare – from reactive to proactive.
Back-End Cloud Interface
Our backend cloud interface stores information for the longer term, performs deep statistical analysis, employs advanced artificial intelligence (AI) techniques on user data and provides actionable insights and alerts, for each individual user. In the cloud, vital physiological parameters are fed into a deep learning engine to derive sets of scores and indices commonly used, in a clinical setting, to track the state and trend of different chronic diseases, including chronic heart disease, respiratory disease, diabetes, hypertension and sleep apnea. Our deep learning engine and data analytics platform continuously adapt to the individual using individual health event data. Individual information is also aggregated to compile valuable population health statistics and deliver significant intelligence to our deep learning engine in a closed-loop system.
Back-End Cloud Interface
Our backend cloud interface stores information for the longer term, performs deep statistical analysis, employs advanced artificial intelligence (AI) techniques on user data and provides actionable insights and alerts, for each individual user. In the cloud, vital physiological parameters are fed into a deep learning engine to derive sets of scores and indices commonly used, in a clinical setting, to track the state and trend of different chronic diseases, including chronic heart disease, respiratory disease, diabetes, hypertension and sleep apnea. Our deep learning engine and data analytics platform continuously adapt to the individual using individual health event data. Individual information is also aggregated to compile valuable population health statistics and deliver significant intelligence to our deep learning engine in a closed-loop system.