BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 depicts the components of a comprehensive assessment of vascular health.
FIG. 2 depicts functional assessment modules provided in one embodiment of the invention.
FIGS. 3A and B depict contributory factors in a DTM response.
FIGS. 4A and 4B depict the measured components of a DTM response.
FIG. 5 provides a block diagram depicting one embodiment of an entire system level design.
FIG. 6 provides a block diagram depicting one embodiment of DTM Module controller.
FIG. 7 provides a block diagram depicting one embodiment of a Cuff Management Module controller.
FIG. 8 depicts a resident GUI application for operating with the system.
FIG. 9 depicts one embodiment of a DTM Module.
FIG. 10 depicts one embodiment of a DTM sensor.
FIG. 11 depicts one embodiment of a Doppler flow velocity sensor.
FIG. 12 depicts results of measuring the response to reactive hyperemia using a Doppler flow velocity sensor.
FIGS. 13A-C depict Doppler arrays for smart Pulse Wave Form (PWF) analysis.
FIG. 14 graphically depicts the generation of a pulse pressure wave in an artery.
FIG. 15A graphically depicts the oscillatory waveform produced by the pressure wave of arterial flow and reflectance. FIG. 15B graphically depicts the oscillatory waveform produced by the pressure wave of arterial flow and reflectance in a healthy artery. FIG. 15C graphically depicts the oscillatory waveform produced by the pressure wave of arterial flow and reflectance in a stiff artery.
FIG. 16 depicts a set up for measuring pulse wave velocity.
FIG. 17 depicts Doppler signals form brachial and radial arteries overlaid.
FIG. 18A depicts the results of a baseline PWV analysis. FIG. 18B depicts the results of a post reactive challenge PWV analysis.
FIG. 19 depicts IR thermography of two hands during a CLVR response.
FIG. 20 depicts ability of DTM to identify individuals with known CHD as compared with FRE.
FIG. 21 depicts the significant inverse linear relationships observed between DTM parameters and increasing CV risk.
FIG. 22 depicts the predictive ability of DTM and CLVR in relation to Metabolic Syndrome.
FIGS. 23A and B depict suitable designs, among others, for skin temperature sensors.