This study is to collect human activity and electrocardiogram (ECG) data from heart failure (HF) patients to aid in the development of a novel chronotropic incompetence (CI) algorithm designed to diagnose CI in patients with HF.
The Investigation of the Chronotropic Incompetence Diagnostic Algorithm in Heart Failure Patients (CI Algorithm Study) is an acute data collection study using market released actigraphy devices (wGT3X-BT) and holter devices (DR 180) to measure study subjects' daily activities and surface ECG data simultaneously. The data will be analyzed to develop an algorithm to diagnose CI in patients with HF.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
48
Ruijin Hospital Luwan Branch, Shanghai JiaoTong University School of Medicine
Shanghai, Shanghai Municipality, China
Sixth People's Hospital Affiliated to Shanghai Jiaotong University
Shanghai, Shanghai Municipality, China
Chronotropic Incompetence Index of Patients With Heart Failure Disease
Compare chronotropic incompetence index in patients with heart failure using an interventional diagnostic algorithm compared to standard of care diagnostics. Chronotropic Index = \[achieved maximal HR-resting HR\]/\[age-predicted maximal HR-resting HR\]. Normal CI is \~ 1 with low CI considered \< 0.8 Measurement described as: Chronotropic index=HRR/metabolic reserve.
Time frame: Implant through 6 months
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