Beyond Verbal, a company that provides voice analysis software, has announced that its algorithms were used successfully to help detect the presence of coronary artery disease (CAD) in a group of patients. Results of a study conducted at the Mayo Clinic show that voice can be used as a biomarker for CAD, with certain sound characteristics pointing to the existence of the disease. The firm has already identified some voice biomarkers that indicate autism and Parkinson’s.
The research, presented at the American Heart Association Scientific Sessions in New Orleans, Louisiana this week, involved a double-blind study with 120 patients undergoing both an angiography and a voice analysis and a group of controls. One voice characteristic in particular indicated an almost 20-fold increase in the likelihood of CAD. Since such voice characteristics can even be identified over a phone call, it is even feasible that people will be screened for CAD over the phone. Beyond that, identifying more voice biomarkers can produce a comprehensive test that would identify the possibility of a number of different conditions.
“A patient’s voice is the most readily available, easy to capture, and rich output the body offers. We are very excited to be able to work with Mayo Clinic on such a breakthrough research, studying the potential of using the human voice in healthcare monitoring and specifically CAD,” said Yuval More, the CEO of Beyond Verbal in a statement.