IntelliCARE is an innovative healthcare application designed to enhance the ageing experience by empowering seniors through advanced technology. This comprehensive app integrates a user-friendly interface with multiple functionalities to monitor, assess, and provide personalised health programmes to senior users.IntelliCARE leverages a combination of wearable technology and software application. While comparable to established platforms, IntelliCARE sets itself apart through the integration of advanced machine learning algorithms. These algorithms can predict vital health indicators such as spO2, blood sugar levels, and heart rate variability from photoplethysmography (PPG) signals emitted by wearables.With this technology, IntelliCARE aims to improve senior health management by providing continuous health monitoring, early detection of potential health issues, and personalised health interventions. It seeks to enhance the seniors' quality of life, reduce the incidence of hospital visits, and support independent living. Healthcare providers and caregivers can also benefit from the app’s comprehensive data and monitoring capabilities to better support the seniors under their care.
Use of machine learning (ML) algorithms to predict vital health indicators from wearable devices.
Analyses photoplethysmography (PPG) signals to predict spO2, blood sugar levels, and heart rate variability, providing a proactive approach to health monitoring.
Integrates mood and emotional health tracking, together with physical health metrics, offering a holistic view of the user's health.
Customised health monitoring and improvement plans based on real-time data.
Enhanced safety through computer vision-enabled environmental risk assessments.
Engaging health improvement programmes involving physical exercise and mental health activities like art and music therapy.
Rehabilitation services
Insurance health programmes
Corporate wellness programmes
Integrated health apps
Customised wellness devices
Home safety products
Seamless integration of real-time data monitoring using Machine Learning algorithms to predict critical health indicators.
Utilises advanced computer vision technology to identify potential fall hazards.
Personalised health programmes adhering to the principles of sports science.
Encourages social interaction through a shared platform, fostering a community of support and motivation.
This technology is available for licensing and technology transfer.
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