algorithms and medical imagingAnalytics 4 Life is a new company that is working on bringing a device to market that uses Phase Space Tomography to provide a new form of digital imaging for diagnostic purposes. Their initial focus is on coronary artery disease.

Their CorVista system uses 7 sensors that attach to a patient’s chest and back. From an interview in MedGadget with Don Crawford, CEO of Analytics 4 Life:

“We capture an unfiltered phase signal that contains approximately 10 million data points. Specifically, the PSR device scans the unfiltered voltage gradient at a rate of 8,000Hz at each of six observation points on the patient for 210 seconds, time-synced to 10 quadrillionths of a second (10 femtoseconds), effectively capturing all sources of energy originating from the thorax (from intrinsic physiologic processes such as, but not limited to, electrical conduction, myocyte mechano-electric transduction feedback, responses to the autonomic nervous system, and peripheral resistance).

The system then employs advanced, machine-learned algorithms that translate the captured data into an imaged model of the heart that indicates areas of potential heart damage related to the presence of coronary artery disease.

In a post from way back in 2012, I predicted that computational algorithms would be employed to enhance signal data and provide unprecedented views of the body and its physiology. The CorVista effort is one more step toward that reality. Companies involved in medical diagnostics should take note.