Yi Zhang

发表

A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices: Results From the MultiSENSE Study.

Yi Zhang, Pramodsingh H Thakur, Giulio Molon, 2017, JACC. Heart failure.

Multiparameter diagnostic sensor measurements during clinically stable periods and worsening heart failure in ambulatory patients

P. Thakur, K. Ferrick, J. Boehmer, 2021, ESC heart failure.

Ambulatory monitoring of heart sounds via an implanted device is superior to auscultation for prediction of heart failure events.

P. Thakur, J. Boehmer, R. Gardner, 2020, Journal of cardiac failure.

Trends in Respiration Rate as an Indicator of Worsening Heart Failure

John D. Hatlestad, Marina V. Brockway, R. Kuenzler, 2007 .

Ambulatory respiratory rate trends identify patients at higher risk of worsening heart failure in implantable cardioverter defibrillator and biventricular device recipients: a novel ambulatory parameter to optimize heart failure management

Yi Zhang, Ljubomir Manola, Pier Lambiase, 2015, Journal of Interventional Cardiac Electrophysiology.

HeartLogic Multisensor Algorithm Identifies Patients During Periods of Significantly Increased Risk of Heart Failure Events: Results From the MultiSENSE Study

Michael Cao, Christopher Schulze, Pramodsingh H. Thakur, 2018, Circulation. Heart failure.

Device-Based Sensors in the MultiSENSE Study: A Preliminary View

P. Thakur, J. Boehmer, R. Sweeney, 2012 .

Haemodynamic monitoring of cardiac status using heart sounds from an implanted cardiac device

P. Thakur, R. Gardner, Qi An, 2017, ESC heart failure.

A Multisensor Algorithm Predicts HeartFailure Events in Patients With Implanted Devices

Jagmeet P. Singh, A. Capucci, P. Thakur, 2017 .

A Multi‐Sensor Algorithm Predicts Heart Failure Events in Patients with Implanted Devices: Results from the MultiSENSE Study: 1

Jagmeet P. Singh, P. Thakur, J. Boehmer, 2017 .