BioSync: Artificial Intelligence Model from Wearable Devices

Wearable technologies and mobile devices collect individually reviewed health data, but these data can be noisy and missing. BioSync is a new artificial intelligence model, cardiac measurements, neurological activity, behaviour indicators and speech analysis by collecting data from multiple physiological sources such as BioSync Index (BSI).

The basic features of the system are:

• Multi-head individually assesses the importance of each data type using self-attention mechanism
• A continuous compound defined under the BEST frame creates digital biomarker
• Adopting a linear branch, the standard feature is compatible with combination methods
• Learning relations between data from different sensors and reducing noise

This approach provides more reliable health screening by combining data resources, unlike traditional methods that work only with a sensor data. Thanks to the transformer architecture, the system can dynamically identify which physiological indicators are more important in certain situations.

As a result, BioSync has the potential to convert data to a more meaningful health indicator by moving the implementation of artificial intelligence in personal health monitoring and disease diagnosis.