Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data demonstrating how Viz HCM enables faster, accurate detection of hypertrophic ...
Background: Pulmonary hypertension (PH) is a life-threatening disease affecting up to 1% of the global population. Diagnosis can be challenging and is often delayed due to the need for advanced ...
Abstract: Electrocardiogram (ECG), as a crucial fine-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the ...
ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
Outflow tract ventricular arrhythmias (OT-VAs) are the most common type of idiopathic VAs.1 Despite their often benign clinical presentation, patients may experience symptoms that may severely impact ...
Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...
Abstract: A wavelet-based electrocardiogram (ECG) data compression algorithm is proposed in this paper. The ECG signal is first preprocessed, the discrete wavelet transform (DWT) is then applied to ...
As far as I understand, only the sender and receiver handle compression and decompression, while mesh nodes just relay the data. So wouldn’t it make more sense to use an algorithm with better ...
ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results