Preliminary study a non-invasion method on early cardiac energy defect based on Hilbert Huang Transform
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Updated: Nov 28, 2025
Assessing Cardiac Reprogramming using High Content Imaging Analysis
Published on: October 26, 2020
Po-Lin Lin1, Kang-Ying Chen2, Heng Ma3
1Division of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan, ROC.
Insights
This study introduces a novel non-invasive method using Hilbert Huang Transform (HHT) to analyze electrocardiography (ECG) signals, significantly reducing false positives in cardiovascular disease screening.
Area of Science:
- Cardiology
- Biomedical Engineering
- Signal Processing
Background:
- Cardiovascular diseases are a leading cause of death globally.
- Electrocardiography (ECG) is crucial for diagnosing heart conditions.
- Current ECG methods can lead to high rates of pseudo-positive results, increasing healthcare costs.
Purpose of the Study:
- To evaluate a novel non-invasive method for analyzing ECG signals.
- To reduce pseudo-positive diagnoses in cardiovascular disease screening.
- To improve the efficiency and reduce the cost of cardiac diagnostics.
Main Methods:
- Utilized the Hilbert Huang Transform (HHT) for ECG signal decomposition via Empirical Mode Decomposition (EMD).
- Applied this non-invasive technique to analyze ECG signals from participants.
- Compared results with traditional 12-lead ECG detection methods.
Main Results:
- The HHT-EMD method successfully decomposed ECG signals.
- Significantly reduced pseudo-positive results by 83.3% in the study cohort.
- Identified 4 participants who were initially misclassified as pseudo-positive.
Conclusions:
- The Hilbert Huang Transform (HHT) offers a promising non-invasive approach for ECG analysis.
- This method can substantially decrease the number of individuals requiring follow-up cardiac testing.
- The HHT-EMD technique has the potential to lower medical expenses and save time in cardiovascular screening.
Abstract:
Statistics released by the World Health Organization in 2018 show that the total death of people is 56.9 million worldwide in 2016. The first one is cardiovascular diseases, including ischemic heart disease and stroke, which accounted for 17.65 million people (31%) [1]. Treadmill Exercise Test is suitable for measuring the changes in Electrocardiography (ECG) initial, middle, and after exercise [2]. They are using it to distinguish chest pain without apparent causes, judging the severity of coronary artery disease, and screening personnel with coronary artery disease risk factors. The most important contribution of this study is to use the Hilbert Huang Transform (HHT) [3], a non-invasive method, to decompose the original ECG signals of inspectors through the Empirical Mode Decomposition (EMD) [4-7], not the commonly used of 12-lead ECG detection method. There is a total of 49 participants in 24 pseudo-positive persons; 4 were re-judged into positive, reducing 83.3% pseudo-positive persons who need to do the follow-up testing, significantly reducing the consumption of medical and time.
