Speech Recognizing App- HearO helps predict heart failure - Video
Overview
Heart failure (HF) is a progressive condition that affects approximately 26 million people worldwide. Most patients with HF present to the hospital with fluid retention, which manifests as worsening dyspnea caused by pulmonary edema. In a recent study, researchers have developed a novel mobile app, HearO that detects changes in speech which predicts clinical congestion in patients with HF. The study findings were published in the journal JACC: Heart Failure on December 8, 2021.
Recent advances in speech, voice, and sound analysis enabled the identification of speech features of clinical significance. Various speech processing algorithms have been developed to use such features in screening for depression, pneumonia-asthma, coronary artery disease, and an autism spectrum disorder. Pulmonary edema is the main cause of heart failure (HF)−related hospitalizations. It is an important predictor of poor prognosis after discharge. Frequent monitoring is often recommended, but signs of decompensation are overlooked. Recently, Dr Offer Amir and his team conducted a study to assess the performance of an automated speech analysis technology in detecting pulmonary fluid overload in patients with acute decompensated heart failure (ADHF). They distinguishing between ADHF on admission ("wet") versus at discharge ("dry") by using a novel speaker verification, speech processing, and analysis technology, implemented within a proprietary Smartphone application (app) (HearO Cordio Medical Ltd, Or Yehuda, Israel).
For more details, check out the full story on the link below:
Novel Speech Recognizing App May Help Predict HF By Recognising Fluid Buildup In Lungs: Study
Speakers
Dr. Nandita Mohan
BDS, MDS( Pedodontics and Preventive Dentistry)
