Journal of Healthcare Engineering

Medical Signal Processing in Biomedical and Clinical Applications


Status
Published

Lead Editor

1National Institute of Technology, Rourkela, India

2Florida Institute of Technology, Melbourne, USA

3National Institute of Technology, Raipur, India

4CAMIN Project Team, Inria, France

5Kaziranga University, Assam, India


Medical Signal Processing in Biomedical and Clinical Applications

Description

Despite advances in biomedical and clinical research, real-time acquisition and signal processing of many biological signals for point-of-care assessment are still a challenging task. Application of signal processing techniques for processing biosignals has received much attention in the recent past. In fact, this has opened up a new domain of research, popularly known as Medical Signal Processing. Many diseases (e.g., preeclampsia, cardiovascular abnormalities, and epilepsy) can be diagnosed at earlier stages by proper interpretation of the physiological and cellular signaling responses. Signaling response, thus obtained, may not be associated with a singular source of origin. Rather a collective response is often a frequent phenomenon. Signals are also obtained in two, three, and four dimensions for better representation of spatiotemporal responses of cellular masses.

Postprocessing techniques of Medical Signal Processing techniques involve recent state-of-the-art application of artificial intelligence (including but not limited to artificial neural network, support vector machine, and genetic algorithm) and component analysis for feature extractions and efficient redundancy of parameters. Optimization of signal processing techniques also improves both diagnostic interpretation and therapeutic solution for many critical diseases. Medical Signal Processing also involves processing of cellular signaling to various metabolic pathways associated with progression of cancer or neurodegenerative diseases.

We invite original papers, review articles, and clinical studies focused on various aspects of Medical Signal Processing.

Potential topics include but are not limited to the following:

  • Biosignal (including EEG, ECG. EMG, and PCG) processing
  • Multimodal signal analysis
  • Processing and interpretation of cellular signaling pathways
  • Univariate signal processing
  • Time-frequency domain signal processing (includes wavelet, s-transform, WVD, Cohen class, and STFT)
  • Multivariate signal processing
  • Heart rate variability

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 3932471
  • - Editorial

Medical Signal Processing in Biomedical and Clinical Applications

Kunal Pal | Kunal Mitra | ... | Anilesh Dey
  • Special Issue
  • - Volume 2018
  • - Article ID 6920420
  • - Review Article

A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal

Suraj K. Nayak | Arindam Bit | ... | Kunal Pal
  • Special Issue
  • - Volume 2018
  • - Article ID 4832605
  • - Research Article

Detection of Heart Rate through a Wall Using UWB Impulse Radar

Hui-Sup Cho | Young-Jin Park
  • Special Issue
  • - Volume 2018
  • - Article ID 3253519
  • - Research Article

Identification of Cerebral Artery Stenosis Using Bilateral Photoplethysmography

Hyun Goo Kang | Seogki Lee | ... | Youngsuk Shin
  • Special Issue
  • - Volume 2018
  • - Article ID 2350834
  • - Research Article

sEMG Signal Acquisition Strategy towards Hand FES Control

Cinthya Lourdes Toledo-Peral | Josefina Gutiérrez-Martínez | ... | Lorenzo Leija-Salas
  • Special Issue
  • - Volume 2018
  • - Article ID 8632436
  • - Research Article

Improved Multiscale Entropy Technique with Nearest-Neighbor Moving-Average Kernel for Nonlinear and Nonstationary Short-Time Biomedical Signal Analysis

S. P. Arunachalam | S. Kapa | ... | E. G. Tolkacheva
  • Special Issue
  • - Volume 2018
  • - Article ID 1817485
  • - Research Article

Dynamic Analysis of the Abnormal Isometric Strength Movement Pattern between Shoulder and Elbow Joint in Patients with Hemiplegia

Yali Liu | Yuezhen Hong | Linhong Ji
  • Special Issue
  • - Volume 2018
  • - Article ID 7901502
  • - Research Article

Enhancement of the Comb Filtering Selectivity Using Iterative Moving Average for Periodic Waveform and Harmonic Elimination

José L. Ferreira | Yan Wu | Ronald M. Aarts
  • Special Issue
  • - Volume 2017
  • - Article ID 5707162
  • - Research Article

A Predictive Model to Classify Undifferentiated Fever Cases Based on Twenty-Four-Hour Continuous Tympanic Temperature Recording

Pradeepa H. Dakappa | Keerthana Prasad | ... | Chakrapani Mahabala
  • Special Issue
  • - Volume 2017
  • - Article ID 9451342
  • - Research Article

Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews

Elena Tutubalina | Sergey Nikolenko
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate37%
Submission to final decision99 days
Acceptance to publication48 days
CiteScore2.600
Impact Factor1.803
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