From lengthy, noisy recordings to smooth, steady ECG signals
Streamline long-form electrocardiogram (ECG) analysis with MaxYield™ - automated, distinct, and scalable analysis at a fraction of the time and cost.
MaxYield™ is device-agnostic, capturing ECG recordings from any 1-lead or 3-lead device with ease. Effortless integration & compatibility enables seamless data capture from:
MaxYield™ maps ECG signals through noise, isolating and labeling key features in every heartbeat. Transform noisy recordings into detailed insights.
MaxYield™ delivers beat-by-beat analysis, outputting an analysis of 200,000 heartbeats in less than 5 minutes.
MaxYield™ delivers P-wave, QRS complex, & T-wave onsets, offsets, & time-series intervals for each heartbeat.
MaxYield™ helps the reader identify cardiac events, displays smooth waveforms, and supports confident clinical decisions.
Integrate MaxYield™ into your platform to rapidly highlight potentially meaningful ECG data. Scale clean signals & clear data across your entire workflow.
Our Patent-Pending MaxYield™ Neural Network uses Gold Standard Methodologies in ECG signal processing. Automated labeling of P-Waves and QRS-onsets provide clear inputs to help provide users with actionable insights.
Our noise filtering paired with P, QRS, and T Wave highlighting help streamline your workflow. Automate repetitive tasks with our data wall, processing more data in less time.
MaxYield™ returns a clean, "neuralized" signal and clear, beat-by-beat data wall. Consolidate your current workflow by including consistently smooth & distinct ECG waves.
MaxYield™ identifies and labels critical data, even in recordings with high levels of noise & artifact. Rapidly isolate ECG waves from recordings with baseline wander, movement & muscle artifact, and low amplitude. Salvage previously obscured sections of lengthy Holter, 1-Lead, and patch monitor recordings.
Traditional ECG interpretation technology relies on preset algorithms and pattern recognition that can struggle with large amounts of noise. Our algorithm evolves with each use in pursuit of the maximum diagnostic yield. Its accuracy and efficiency will continuously improve over time.
MaxYield™ harnesses cutting-edge AI and advanced signal processing technology. Our flagship innovation - our “X-Factor” - is a patent-pending Signal Mapping Algorithm that isolates and cleans ECG recordings. It delivers a beat-by-beat PQRST labeling and a clear, "neuralized" ECG signal.
This versatile algorithm is both device and application agnostic, capable of tackling complex signal processing challenges. While ECG labeling is at the core of MaxYield™, our technology extends to uncovering trends in digital biomarkers & supporting breakthroughs in cardiovascular diagnostics.
By seamlessly adapting to your unique needs, MaxYield™ empowers healthcare professionals to pursue the maximum diagnostic yield, streamline workflows, and quickly make informed decisions. With crisp signal clarity, MaxYield™ uses Gold Standard methodologies from across the cardiovascular industry.
Current long-form and ambulatory ECG monitoring analysis methods often rely heavily on semi-manual input. Technicians and healthcare professionals spend considerable time labeling ECG waveforms. This process is resource-intensive. The manual approach is a bottleneck in the analysis process, increasing operational costs and limiting overall efficiency.
ECG waveform shapes can vary significantly due to individual physiological differences. Factors such as age, sex, health conditions, and even lifestyle choices can alter ECG patterns. These variations complicate the analysis process, making it difficult to apply a one-size-fits-all solution. Traditional methods struggle to adapt to this variability, leading to less accurate interpretations.
ECG recordings often have noise and other signal artifacts, such as muscle contractions, movement, and external electrical interference. These artifacts can obscure the true ECG signals, making it challenging to identify and analyze the relevant features accurately. Traditional methods may fail to filter out these artifacts effectively, resulting in erroneous data interpretation and compromised singal integrity.
Neural Cloud Solutions Inc. addresses these challenges with advanced AI technology that clarifies the ECG analyzing process. Our solution provides automated labeling and crisp signals, aiming to support workflow efficiency and accuracy in ECG interpretation.
Our cutting-edge algorithm automates the labeling of ECG signals. It accurately maps the PQRST waveforms, determining the start and end points of the P wave, QRS complex, and T wave. From this, we also provide wave durations and intervals. This automation alleviates the need for manual input, saving time and resources.
We designed our AI models to adapt to the physiological variability present in ECG waveforms. By leveraging advanced neural networks, our technology can analyze diverse ECG patterns, ensuring clear interpretation regardless of individual differences. Our filtered, steady signals help specialists identify actionable insights even through varying recordings.
Our algorithms use sophisticated noise reduction techniques to filter for noise and signal artifacts. This ensures that the ECG data remains clear and isolated. Even in the presence of significant noise and interference, feature extraction and reliable waveform analysis is still possible.
