ZOLL LifeVest ECG Classifier: See Actionable Arrhythmias
Developed with machine learning, LifeVest ECG Classifier filters out noise and identifies arrhythmias that may require intervention — from ablation to ICD implant.
1 IN 14 PATIENTS
experience an actionable arrhythmia during LifeVest use.1
HIGHLY ACCURATE,
FDA-APPROVED
CLASSIFICATION OF ECGs
that may require clinical intervention.2
ZOLL LifeVest ECG Case Studies
Learn how ECGs captured by the LifeVest® wearable cardioverter defibrillator (WCD) enabled physicians to modify the treatment path for their patients.
Atrial Fibrillation
Newly diagnosed heart failure patient with an EF of 20%. Atrial fibrillation events recorded by LifeVest altered the course of treatment for the patient.
Bradycardia
NSTEMI patient with an EF of 30%. Bradycardia events recorded by LifeVest revealed significant underlying cardiovascular disease.
Sinus Tachycardia
STEMI patient post-PCI with an EF of 29%. Sinus tachycardia events recorded by LifeVest altered the course of treatment for the patient.
Sustained VT
Dilated cardiomyopathy patient with an EF of ≤ 35%. A ventricular tachycardia event recorded by LifeVest altered the course of treatment for the patient.
Syncope
STEMI patient with an EF of 30%. Data recorded by LifeVest revealed recurring bradycardia events that required pacemaker implantation.
Trends
Non-ischemic cardiomyopathy patient with an EF of 20%. Data collected from LifeVest altered the course of treatment for the patient.
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References
- Kutyifa V, Moss A J, Klein H, et al. Use of the wearable cardioverter defibrillator in high-risk cardiac patients: Data from the prospective registry of patients using the wearable cardioverter defibrillator (WEARIT-II Registry). Circulation 2015;132(17):1613–1619.
- Pre-clinical test data on file at ZOLL as of July 2020.