| DataCruncher™ | | DataCruncher™ is a generic cloud-based data tracking and relationship
database that can be readily converted and optimized to meet our clients' specific requirements. | | DataCruncher™ was originally developed
for the electronics industry, where it has collected hundreds of millions of data points. However, the existing architecture and functionality can be utilized
in a number of applications where data collection, tracking, and conversion into information adds value to the product or process. Potential applications include: | | | Environmental monitoring | | Vital sign monitoring (continuous and point-of-care) | | Metabolite monitoring | | Gas monitoring | | Sports performance monitoring | | Emergency service personnel monitoring | | Defense applications | | Smart meter applications | The existing functionality in DataCruncher™ includes: | | | Automatic data collection - Existing software routines to upload data from multiple
remote locations and sensors and subsequently store the data at a remote server. Data types include vital signs, bioelectrochemical signals,
electromechanical signals, test data, etc. | | Automatic data interpretation - Application-specific algorithms can be loaded onto the database
to convert data into information, e.g., the conversion of voltage to velocity, heart rate into calories, electric current into analyte
concentration, etc. | | Correlation - The correlation of one metric within the database with other metrics, e.g., the
correlation of carbohydrates with blood glucose, pedometer data with weight loss, etc. | | Mapping - Data is contextualized by display on a number of map types, including geographical or process
maps. | | Customer and application-specific tuning - BEST-Bio can update the database architecture and functionality
with routines and algorithms specific to our clients' needs. | | Smart phone / device intergration - The database can be interrogated or controlled via web-enabled smart
devices including iPhones, Androids, tablets, etc. | | Remote login - The existing architecture allows customers and collaborators to access the data via
a web portal by logging in using a unique and secure user name and password. | Calculations can be performed on the data to produce reports on testing, including summaries and statistical
analyses including max/min, mean/median, standard deviation, etc. | | | | | | | | | | | | | | | |
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