Letter of Intent: Circular Health Limited to Enhance ECG Smart Ring with AI-Powered Signal Clarity with multi‑year, per‑user SaaS license targeting commercial launch by September 2025. Global ...

In signal classification, AEs extract robust latent features, enhancing performance in domains like ECG analysis [16] and IoT anomaly detection [17]. Several AE variants address specific signal ...

Signal, Telegram, and WhatsApp all claim to offer secure messaging, but significant differences exist in their privacy approaches and data collection practices.

Second, while some of the contemporary digital stethoscopes have the ability to acquire both ECG and PCG, we did not have a robust training data set to test whether addition of the ECG signal can ...

The difference between the average of at least five detected PCG and PPG signals and the peak R-wave of the ECG signal was used to determine the pulse delay time for each measurement site (Figure 1C).

Thus, the system’s accuracy was confirmed. The system test of the PCG-ECG synchronous auscultation system demonstrated that the P-QRS-T waveform of the ECG signal was distinctly visible, and the ...

Features of the PCG signal corresponding to specific heart disease can be extracted and used for PCG classification. Dwivedi et al 13 conducted a systematic review of automatic PCG analysis and ...

This Research Topic will help to demonstrate and provide the applications of various machine learning (deep learning) methods for the processing and classification of different biomedical signals such ...

To overcome the challenge of multi-modal signal training, we develop an alignment-based contrastive learning approach that generates shared feature space embeddings for ECG and PCG signals. Results: ...