Method and
system for the analysis and
source localization of the dynamical patterns in medical and
health data, and linking such dynamical patterns with the individual's genetic and / or molecular data. The invention makes use of optimally positioned sensors (sensor arrays) providing input data for
signal processing, time-series analysis,
pattern recognition and mathematical modeling to facilitate dynamical tracking of systemic arterial pressure without a pressure
cuff, local vascular activity, electrocardiographic (ECG), respiratory, physical, muscular, gastrointestinal and
neural activity, temperature and other physiological /
health data. The invention also facilitates separation of local signals (such as local aneurisms or local vascular activity) from non-local, central or systemic patterns (e.g.
systemic blood pressure). In addition, the invention improves identification of dynamical patterns associated with a specific
genotype / disorder for screening, personalized
risk assessment, diagnosis and treatment control. The
system can be implemented in a specialized processor, such as an
ambulatory blood pressure monitor, Electrocardiograph, Holter monitor located outside subject's body or implanted inside the body, mobile /
cell phone or
Smart Phone / Personal Digital Assistant, computer or
computer network (
the Internet), including
wireless or mobile network. The
system can be also linked to the electronic health / medical records and other databases.