Welcome to the LSTM Autoencoder for ECG Analysis project! This repository contains an advanced machine learning workflow to analyze heart rhythm patterns using a recurrent autoencoder, determining ...

Results 94% of rowers had one or more training-related ECG patterns including sinus bradycardia (51%), sinus arrhythmia (55%), and incomplete right bundle branch block (42%). Males were more likely ...

It integrates ECG, cuffless blood pressure, breathing pattern and volume, core body temperature, oxygen saturation (SpO2), ...

Wearable technology is transforming healthcare through continuous monitoring, real-time data collection, and personalized ...

Table 1. Summary of case report literature, categorized by patient demographics (age and gender), route of cocaine use, time from last drug exposure to first noted electrocardiogram abnormality or ...

After several years of intensive investment in R&D, TMA Solutions launched a new set of HealthTech solutions, focus on senior ...

Upon review of this body and the described ECG findings, certain common patterns emerge (Table 2). The reviewed literature on the association between cocaine use and AV conduction as assessed by ...

This lets you save time and make an interface that might be somewhat familiar to your users already. We’ve compiled a list of some of the best places to find UI design patterns on the web. Some are ...

1 The majority of disorders associated with increased risk of sudden cardiac death (SCD), such as cardiomyopathies and primary electrical diseases, are suggested by abnormal findings present on an ECG ...

This work proposes a formal method-based runtime verification approach for hypertension monitoring using ECG and PPG sensing, which is explainable. The pulse arrival time (PAT) feature extracted using ...

Personalized neurodevelopment uses genetic, environmental and behavioral data to create customized treatment plans.