Abstract: At least one swing value is determined responsive to a difference between maximum and minimum amplitude values of an auscultatory sound signal within a temporal region of a heart-cycle segment spanning an entire heart cycle of an auscultatory sound signal, wherein a location of at least one temporal region is responsive to a duration of the heart-cycle segment. S4 sound presence is detected responsive to ratio of S4SWING to S2SWING in relation an associated median value thereof from a population of test-subjects. A Support Vector Machine trained responsive to age, sex, S4 presence and a plurality of heart sound swing measures provides for detecting CAD. Unsupervised classification of an S3swing and median and mean values of a Short Time Fourier Transform within associated frequency intervals, based upon data from a plurality of heart cycles of a plurality of test-subject provides for detecting presence of an S3 sound.

Abstract: One or more auscultation sensors attached to the skin of an at-least-prospectively contagiously-infected patient are connected via a corresponding associated one or more sensor cables so as to provide for one or more health care practitioners to listen to auscultation sounds from the one or more auscultation sensors from a relatively safe distance, without a need for close proximity to the patient when listening.

Abstract: An auscultatory sound signal from at least one auscultatory sound-or-vibration sensor is segmented into a plurality of associated heart cycle segments responsive to associated R-peak locations of an electrographic envelope signal representing an envelope response to an even power of an associated electrographic signal from an ECG sensor. A representation an envelope responsive to an even power of said auscultatory sound signal within said at least one heart cycle is locally modeled about at least a second peak to provide for locating the start of diastole of said at least one heart cycle.

Abstract: Systems and methods for providing an optimized-personalized health maintenance plan are presented. The teachings include a method for creating an iteratively-optimized, personalized health maintenance plan for a user. The method includes producing a recognized health profile for a subject, developing a first personalized health maintenance plan from the recognized health profile, and converting compiled information into a presentation format for the first personalized health maintenance plan, or an optimized-personalized health maintenance plan based on at least a first iterated questionnaire. The personalized health maintenance plan is optimized to increase the level of specificity of the personalized health maintenance plan for the user.

Abstract: Systems and methods for providing an optimized-personalized health maintenance plan are presented. The teachings include a method for creating an iteratively-optimized, personalized health maintenance plan for a user. The method includes producing a recognized health profile for a subject, developing a first personalized health maintenance plan from the recognized health profile, and converting compiled information into a presentation format for the first personalized health maintenance plan, or an optimized-personalized health maintenance plan based on at least a first iterated questionnaire. The personalized health maintenance plan is optimized to increase the level of specificity of the personalized health maintenance plan for the user.

Abstract: A personalized health information discovery and presentation system is presented. The system has an input device, a subject-profile module, an information database, an alignment module, a solutions module, an integration engine, a plan module, a graphical user interface, and a processor. The input device allows a user to enter a personalized subject-profile, the subject-profile module receives the subject-profile and converts it into a recognized health profile. The health information database comprises a library of health information, and the alignment module aligns the recognized health profile with relevant health information. The solution's module parses the relevant information into information subsets, and the integration engine integrates the information; identifies conflicting health information, contraindications, or health warnings; creates notifications; and compiles data for presentation to the user.

Abstract: A personalized health information discovery and presentation system is presented. The system has an input device, a subject-profile module, an information database, an alignment module, a solutions module, an integration engine, a plan module, a graphical user interface, and a processor. The input device allows a user to enter a personalized subject-profile, the subject-profile module receives the subject-profile and converts it into a recognized health profile. The health information database comprises a library of health information, and the alignment module aligns the recognized health profile with relevant health information. The solution's module parses the relevant information into information subsets, and the integration engine integrates the information; identifies conflicting health information, contraindications, or health warnings; creates notifications; and compiles data for presentation to the user.