The specific objectives and methods of this project are: (1) To test the feasibility and accuracy of integrating EEG, MECG and EMG for detecting the severity of diseases such as aortic stenosis, heart failure and ischemic stroke. (2) Improve the accuracy of this multi-channel brain-heart-muscle device by using an artificial intelligence auxiliary system. (3) Provide tailor-made interdisciplinary treatment strategies for patients with different disease states.
Age≥20 year-old
Healthy subjects or patients with A. Metabolic syndrome (MetS) ；B. HF with reduced ejection fractions (HFrEF, defined by left ventricular ejection fraction≤40%) and current or previous symptoms of HF；C. Severe aortic stenosis (defined aortic valve area < 1.0 cm2 or mean pressure gradient ≥ 40 mmHg), preparing to receive transcatheter aortic valve replacement ；D. Acute ischemic stroke and admitted to stroke intensive care unit (ICU), within 24 hours after onset
Abdominal obesity: waist circumference (for Asians) ≥ 90 cm in men and ≥ 80 cm in women;
Hyperglycemia: serum fasting glucose level ≥ 100 mg/dl, or receiving drug treatment for elevated blood sugar;
Under treatment for malignancy
Currently receiving immunosuppressants
Modified Rankin Scale (mRS) ≥2 prior to the stroke
Symptomatic HF in patients with acute ischemic stroke
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Trial groupsSee each trial group below.