Advances in biomedical signal and image processing – A systematic review

Rajeswari, J.; Mani, Mohan Prasath

doi:10.1016/j.imu.2017.04.002

Cited by 41 publications

(22 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within the field of signal processing, studies include a review of biomedical signal and image processing for biomedical engineering and clinical procedures [38] and works focused on specific types of biomedical signals: for example, EEG [39], ECG [40], and EMG [41].…”

Section: Related Workmentioning

confidence: 99%

A review of feature selection methods in medical applications

Remeseiro

Bolón-Canedo

2019

Computers in Biology and Medicine

536

280

View full text Add to dashboard Cite

Feature selection is a preprocessing technique that identifies the key features of a given problem. It has traditionally been applied in a wide range of problems that include biological data processing, finance, and intrusion detection systems. In particular, feature selection has been successfully used in medical applications, where it can not only reduce dimensionality but also help us understand the causes of a disease. We describe some basic concepts related to medical applications and provide some necessary background information on feature selection. We review the most recent feature selection methods developed for and applied in medical problems, covering prolific research fields such as medical imaging, biomedical signal processing, and DNA microarray data analysis. A case study of two medical applications that includes actual patient data is used to demonstrate the suitability of applying feature selection methods in medical problems and to illustrate how these methods work in real-world scenarios.

show abstract

Section: Related Workmentioning

confidence: 99%

A review of feature selection methods in medical applications

Remeseiro

Bolón-Canedo

2019

Computers in Biology and Medicine

536

280

View full text Add to dashboard Cite

show abstract

“…To enhance classification precision, uncertainties in the image processing [10] chain must be identified and reduced [7]. Because of band continuity and limited sampling bandwidth, multiple mathematical techniques can be applied.…”

Section: Hyperspectral Data Analysismentioning

confidence: 99%

Matlab Simulation For Fault Analysis of Electrical Circuit on Hyperspectral Signal Processing

Devi*,

Muthukumar,

2019

IJEAT

View full text Add to dashboard Cite

The power system contains generation, transmission and Distribution. Abnormal conditions which cause flow of huge current in the conductors through improper paths in the circuit can be defined as a fault. The fault created transient parts which contain inexhaustible flaw data and are resistant to the framework's anomaly have been broadly utilized in the fault examination. The simulation findings demonstrate the system voltage and load currents effects of faults. In this paper, the different voltage circuit information levels will be evaluated using Hyperspectral processing and it is used to determine the exact difference in voltage magnification and evaluate it through signal processing.

show abstract

“…Using those data essential medical report is generated. This signal processing approach can be used in various data such as MRI, EMG, ECG, and Ultrasound [20].…”

Section: E Biomedical Signal Processingmentioning

confidence: 99%

Role and Impact of Biomedical Engineering Discipline for Developing Country Perspective

Asif¹,

Roy²,

Abdullah³

et al. 2018

IJIRCST

View full text Add to dashboard Cite

For a developing and largely populated country, it is quite difficult to solve all healthcare related issues using existing technology with affordable cost and desired precision. Moreover, to carry out biomedical research and design to improve biomedical equipment, devices and maintenance are usually very expensive. Thus, it is imperative and possible to extent indigenous technologies and raw materials for the research activities to design and develop sustained biomedical devices and equipment, artificial organ and tissue, prosthetics and implants, image modalities and healthcare related software at low-cost. Thus, the research and study related to biomedical engineering need to improve to understand the role and impact of this subject as a discipline.

show abstract

Advances in biomedical signal and image processing – A systematic review

Cited by 41 publications

References 50 publications

A review of feature selection methods in medical applications

A review of feature selection methods in medical applications

Matlab Simulation For Fault Analysis of Electrical Circuit on Hyperspectral Signal Processing

Role and Impact of Biomedical Engineering Discipline for Developing Country Perspective

Contact Info

Product

Resources

About