According To Research Data Shared At The American Heart Rhythm Society Meeting This Week, Mayo Medical Center Researchers Have Created An Artificial Intelligence Algorithm That Can Use A Single Lead ECG Taken By Apple Watch To Find Patients With Low Ventricular Effective Pumping Force**
Low Ventricular Effective Pumping Force Or Left Ventricular Dysfunction Is A Problem Affecting 2% To 3% Of People Worldwide, Up To 9% Of People Over The Age Of 60. Like Atrial Fibrillation, Another Heart Problem That Apple Watch Can Detect, Low Ventricular Effective Pumping Force Can Be Asymptomatic. It May Also Be Accompanied By Some Symptoms, Including Rapid Heartbeat Or Shortness Of Breath.
Paul Friedman, Head Of The Department Of Cardiovascular Medicine At Mayo Medical Center, Said That AI Can Use The ECG Function Of Consumer Smart Watches To Detect This Situation, Which Is "absolutely Amazing" Because It Usually Needs Echocardiography, CT Scan Or MRI To Identify It.
The ECG Function On The Apple Watch Is A Single Lead ECG, Which Requires Users To Place Their Fingers On The Digital Crown Of The Apple Watch For 30 Seconds. The Results Will Be Uploaded To The Apple Health App And Shared With Healthcare Professionals. ECG Is Designed To Help Detect Atrial Fibrillation, But ECG Function And Other Functions Of Apple Watch Are Also Being Studied To Detect Other Diseases.
The Standard ECG Uses 12 Electrode Wires Placed On A Person's Chest, Arms And Legs To Monitor The Electrical Signal Of The Heart. In Order To Use The Single Lead ECG Results Of Apple Watch, The Researchers Modified The Existing 12 Lead Algorithm, Which Is Known To Detect The Weakness Of Heart Muscle.
The Study Included 125610 Electrocardiograms Collected From 46 States And 11 Countries Over A Six-month Period. Everyone Submitted Multiple ECG Reports, And The Cleanest Readings Were Used In The Algorithm. Hundreds Of Participants Conducted Clinical Tests To Measure The Strength Of The Pump, Which Were Used To Determine Whether The Apple Watch Could Detect A Problem.
About 420 Patients Recorded The Watch ECG Within 30 Days After The Clinical Ordered Echocardiography Or Echocardiography, Which Is The Standard Test To Measure The Pump Strength. We Use These Data To See If We Can Identify Low Ventricular Effective Pumping Force Through Artificial Intelligence Analysis Of Watch ECG. Although Our Data Are Early, The Area Under The Curve Of This Test Is 0.88, Which Means That It Is As Good Or Slightly Better Than The Medical Treadmill Test. Artificial Intelligence Analysis Of Watch ECG Is A Powerful Test, Which Can Identify The Low Effective Ventricular Pumping Force.
The Researchers Plan To Launch A Global Prospective Study And Conduct Further Tests In More Different Populations To Prove The Benefits Of Single Lead ECG Function In Apple Watch.
"That's What Medical Transformation Looks Like: Diagnosing Serious Diseases Cheaply From Your Couch," Friedman Said.