Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration.

Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it

0cells of the map it votes in

5citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

An Intelligent IoT-Compatible Arrhythmia Detection System Using a Hybrid Vision Transformer-LSTM Framework.Cardiovascular engineering and technology · 2026
Article
A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network.Diagnostics (Basel, Switzerland) · 2025
Article
Dementia and Heart Failure Classification Using Optimized Weighted Objective Distance and Blood Biomarker-Based Features.Bioengineering (Basel, Switzerland) · 2025
Article
Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset.Diagnostics (Basel, Switzerland) · 2025
Article
A Secure and Efficient Framework for ECG Signal Digitization and Encryption for Internet of Medical Things Applications.Healthcare technology letters
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mostafa AhmadComputer Science Department, Faculty of Computers and Information, Menoufia University, Shibin el Kom, Menofia Governorate 6131567, Egypt.

Ali AhmedInformation Technology Department, Faculty of Computers and Information, Menoufia University, Shibin el Kom, Menofia Governorate 6131567, Egypt.

Hasan HashimDepartment of Information Systems, College of Computer Science and Engineering, Taibah University, Taibah 42353, Saudi Arabia.

Mohammed FarsiDepartment of Information Systems, College of Computer Science and Engineering, Taibah University, Taibah 42353, Saudi Arabia.

Nader MahmoudComputer Science Department, Faculty of Computers and Information, Menoufia University, Shibin el Kom, Menofia Governorate 6131567, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DL modelsheart failure diagnosismedical imagessignal image processing and classification

Identifiers

PMID40564822

DOI10.3390/diagnostics15121501

PMCPMC12191851

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.