Multi-scale analysis and representation of physiological and health data

A system for detection of serial changes in physiological or health data and analysis in at least two levels of detail, said system comprising:

• at least one acquisition unit for collecting physiological or health data from a subject over a period of at least several seconds;
• at least one first analysis and processing unit for detecting at least one of a plurality of primary elements from said data and processing said primary elements in low level resolution to generate data respecting and comparing at least one reference value respecting said primary elements with data newly received by said first analysis and processing unit and producing at least one indicator respecting any differences between said at least one reference value and said newly received data;
• at least one storage unit for storing said at least one reference value respecting said primary elements, and
• a communications unit for sending data of said primary elements to at least one computer device for processing and detailed analysis of serial changes in at least some of the said primary elements in said data for a higher resolution analysis using at least one of the methods selected from mathematical decomposition, mathematical modeling, computer modeling, signal processing, time series analysis, statistical analysis, and methods of artificial intelligence for assessing small changes in serial data and for exchanging information with said first analysis and processing unit to improve at least one of said low-level and higher-level resolution.

A portable system for monitoring physiological or health data and analyzing the data in at least two levels of detail (or resolution), said portable system comprising:

• at least one acquisition unit for receiving physiological or health data generated by monitoring a subject for at least several seconds;
• at least one analysis unit for detecting at least one of a plurality of primary elements from said signals to detect one-time changes in such primary elements and thereby identify any abnormal or unstable primary elements, storing said at least one of a plurality of primary elements, comparing at least one of said plurality of primary elements which have been stored with at least one of a plurality of primary elements newly received from said analysis module and producing at least one indicator respecting any differences in the data in low level resolution, and analyzing said at least one of a plurality of primary elements in a higher level of resolution using at least one of the following methods selected from mathematical decomposition, mathematical modeling, signal processing, time-series analysis, statistical analysis and methods of artificial intelligence to provide detailed characterization of serial changes in said abnormal or unstable primary elements in higher level resolution;
• an output unit for displaying said at least one indicator;
• and
• a communications unit for sending data to at least one computer device for processing, analyzing, and exchanging information between said at least one analysis unit and said at least one computer device to improve functionality of at least one of said one analysis unit.

A system for detection of serial changes in health data and analysis of the data, said system comprising:

• at least one implantable acquisition unit;
• at least one external unit selected from a personal computer, a specialized processor, a personal digital assistant, and a computer organizer for collecting health data from a subject;
• said an external processing unit having wireless communication with said implantable acquisition unit;
• wherein said at least one of said implantable acquisition unit and said external unit have the capability of detecting a plurality of primary elements from said data and processing said primary elements to generate data respecting said primary elements, storing said data respecting said primary elements, comparing data newly received by said implantable acquisition unit with at least one reference value selected from at least one of said data which has been stored (threshold data), manually adjusted threshold data and preset default reference values using at least one of the following methods selected from methods of mathematical decomposition, mathematical modeling, artificial intelligence, statistical analysis, signal processing, time-series analysis, and mathematical decomposition to generate health data of differences between said reference data and said newly received data.

A system for detection of serial changes in physiological or health data and analysis in at least two levels of detail, said system comprising:

• at least one acquisition unit connected to at least one computer device for collecting physiological or health data from a subject over a period of at least several seconds;
• at least one first analysis and processing unit for detecting at least one of a plurality of primary elements from said data and processing said at least one of a plurality of primary element in low level resolution to generate data respecting said primary elements, and comparing at least one reference value with data newly received by said first analysis and processing unit and producing at least one type of indicator of differences between said at least one reference value and said newly received data;
• at least one storage unit for storing said at least one reference value respecting said primary elements selected from among data previously generated by said at least one first analysis and processing unit (threshold values), manually adjusted threshold values, and preset default values;
• a communications unit for sending data respecting at least one of said plurality of primary elements to at least one computer device for processing and detailed analysis of serial changes in at least one of the said primary elements in said data, said at least one computer device for a higher resolution analysis using at least one method analysis for assessing small changes in serial data and for exchanging information with said first analysis and processing unit to improve at least one of said low-level and higher-level resolution.

A system for detection of serial changes in physiological or health data and analysis in at least two levels of detail, said system comprising:

• at least one acquisition unit for collecting physiological or health data from a subject over a period of at least several seconds;
• at least one first analysis and processing unit for detecting at least one of a plurality of primary elements from said data and processing said at least one of a plurality of primary elements in low level resolution to generate data respecting said primary elements, and comparing data received by said first analysis and processing unit with at least one reference value to produce at least one indicator respecting any differences between said newly received data and said at least one reference value;
• and
• a communications unit for sending said at least one type of data selected from among said qualitative indicators, said quantitative data, said physiological data and said health data to at least one computer device for processing and detailed higher level analysis of serial changes in at least some of the said primary elements in said data using at least one of the methods selected from mathematical decomposition, mathematical modeling, computer modeling, signal processing, time-series analysis, statistical analysis, and methods of artificial intelligence for assessing small changes in serial data and for exchanging information with said first analysis and processing unit to improve at least one of said low-level and higher-level resolution.

A system for at least one of monitoring and discrete examination of physiological or health data using at least two levels (resolutions) of processing, said system comprising:

• at least one acquisition unit for collecting data from a subject over a period of at least several seconds;
• a first processing (analysis) unit for detecting at least one of a plurality of primary elements from said data and processing said at least one of a plurality of primary elements (referred to as low resolution analysis) to generate data respecting said at least one of a plurality of primary elements;
• at least one storage unit for storing at least one reference value of said plurality of primary elements;
• a comparative unit for comparing said at least one reference value with data newly received from said first analysis and processing unit;
• a second processing (analysis) unit (referred to as higher resolution analysis);
• and
• a communications unit for exchanging information between said processing in low resolution and said higher resolution processing.