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A deformable CNN architecture for predicting clinical acceptability of ECG signal

Allam Jaya Prakash, Samantray Saunak, Sahoo Suraj Prakash, Ari Samit

Biocybernetics and Biomedical Engineering

2023

Vol. 43, no. 1

335--351

The degraded quality of the electrocardiogram (ECG) signals is the main source of false alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to decide its clinical acceptability. In conventional techniques, different handcrafted features are extracted from the ECG signal based on signal quality indices (SQIs) to predict clinical acceptability. A one-dimensional deformable convolutional neural network (1DDCNN) is proposed in this work to extract features automatically, without manual interference, to detect the clinical acceptability of ECG signals efficiently. In order to create DCNN, the deformable convolution and pooling layers are merged into the regular convolutional neural network (CNN) architecture. In DCNN, the equidistant sampling locations of a regular CNN are replaced with adaptive sampling locations, which improves the network’s ability to learn based on the input. Deformable convolution layers concentrate more on significant segments of the ECG signals rather than giving equal attention to all segments. The proposed method is able to detect acceptable and unacceptable ECG signals with an accuracy of 99.50%, recall of 99.78%, specificity of 99.60%, precision of 99.47%, and F-score of 0.999. Experimental results show that the proposed method performs better than earlier state-of-the-art techniques.

The quality of supplied parts and their influence on manufactured quality in serial production

Dian Milan

Quality Production Improvement - QPI

2019

Vol. 1, Iss. 1

512--519

The quality of manufactured products itself has long been playing significant role in nowadays business as well as in customers satisfaction with all kinds of products and services provided. Since all of us face to the poor quality results on daily basis, it is necessary to deploy an appropriate set of quality tools in order to improve the total quality level. The quality level of supplied parts in terms of the product quality including the design, development, and manufacturing process has significantly been influencing the quality results of serial production. The contemporary business philosophy for supplier`s selection uses merely the only criterion, the lowest price. The article describes some problems stemming from this philosophy and practice, determines a systemic approach and proposes a solution in order to improve supplier`s reliability in terms of quality of supplied parts and customer satisfaction.