Highly stretchable metallic nanowire networks reinforced by the underlying randomly distributed elastic polymer nanofibers via interfacial adhesion improvement

Z Jiang, MOG Nayeem, K Fukuda, S Ding… - Advanced …, 2019 - Wiley Online Library
On‐skin electronics require conductive, porous, and stretchable materials for a stable
operation with minimal invasiveness to the human body. However, porous elastic …

Towards real-time heartbeat classification: evaluation of nonlinear morphological features and voting method

RN Kandala, R Dhuli, P Pławiak, GR Naik… - Sensors, 2019 - mdpi.com
Abnormal heart rhythms are one of the significant health concerns worldwide. The current
state-of-the-art to recognize and classify abnormal heartbeats is manually performed by …

Nonlinear dynamic approaches to identify atrial fibrillation progression based on topological methods

B Safarbali, SMRH Golpayegani - Biomedical Signal Processing and …, 2019 - Elsevier
In recent years, atrial fibrillation (AF) development from paroxysmal to persistent or
permanent forms has become an important issue in cardiovascular disorders. Information …

Speech emotion classification using fractal dimension-based features

G Tamulevičius, R Karbauskaitė… - … Analysis: Modelling and …, 2019 - zurnalai.vu.lt
Abstract During the last 10–20 years, a great deal of new ideas have been proposed to
improve the accuracy of speech emotion recognition: eg, effective feature sets, complex …

Automated characterization of cardiovascular diseases using wavelet transform features extracted from ECG signals

A Mohsin, O Faust - Journal of mechanics in medicine and biology, 2019 - World Scientific
Cardiovascular disease has been the leading cause of death worldwide. Electrocardiogram
(ECG)-based heart disease diagnosis is simple, fast, cost effective and non-invasive …

Biomedical signal analysis and its usage in healthcare

A Subasi - Biomedical Engineering and its Applications in …, 2019 - Springer
Biomedical signals are collected from a body that can be at the organ level, cell level, or
molecular level. There are different biomedical signals including the electroencephalogram …

The issue of automatic classification of heartbeats

PRF Rodrigues, JM da Silva Monteiro Filho… - … and Applications for …, 2019 - Elsevier
Considering the increasing number of individuals suffering from heart diseases, in last few
decades the ECG signal has been extensively used for the investigation and diagnosis of …

Visualization of ECG Data on Variant Maps

Z Hou, J Zheng - Practical Applications of Electrocardiogram, 2019 - books.google.com
This chapter presents variant maps for showing potential features in ECG data sets. The
variant map is a visualization method different from a traditional ECG. In this chapter, the …

[PDF][PDF] Cardiac beat classification based on wavelet analysis of empirical mode decomposed ECG signals

TB Anowar - 2019 - academia.edu
The information of electrocardiograms (ECG) signal is the most important bioelectrical
message of human body, which reflects the basic law of heart activity. To improve the …

[PDF][PDF] Visual Analysis of ECG Sequences on Variant Maps

Z Hou, J Zheng - Variant Construction from Theoretical …, 2019 - library.oapen.org
This chapter presents the variant measurement based on the variant logic, which uses the
ECG sequence as the signal source, and outputs the variant maps of ECG sequences. It …