Abdel Salam MALEK

Abdel Salam MALEK

Suez University

H-index: 4

Africa-Egypt

About Abdel Salam MALEK

Abdel Salam MALEK, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Suez University, specializes in the field of Mechanics, Smart and Technical Textiles, Automation, Artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Prediction of Fabric Stiffness Based On Fabric Construction

Wearable ECG systems for accurate mental stress detection: a scoping review

Prediction of fabric pilling tendency based on blended worsted fabric construction

Electrical behavior investigation of sewn textile transmission paths on weft-knitted fabrics used for muscle activity monitoring

From fabric to smart T-shirt: Fine tuning an improved robust system to detect arrhythmia

Behavior of FRP rods under uniaxial tensile strength with multiple materials as an alternative to steel rebar

A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

Abdel Salam MALEK Information

University

Suez University

Position

Assistant professor of Mechanical textile Engineering

Citations(all)

142

Citations(since 2020)

96

Cited By

74

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Suez University

Abdel Salam MALEK Skills & Research Interests

Mechanics

Smart and Technical Textiles

Automation

Artificial intelligence

Top articles of Abdel Salam MALEK

Prediction of Fabric Stiffness Based On Fabric Construction

Authors

Eman Mustafa,Sherwet El Gholmy,Adel EL Geiheini

Journal

Industrial Technology Journal

Published Date

2023/10/1

This research presents a statistical tool to predict fabric stiffness based on fabric construction to avoid material waste, effort and time consuming in laboratories testing. Three different blended material of fabric were used that made from wool and polyester with different percentages of material yarns, counts and type (single/ply) of weft yarn, and fabric weave pattern (plain, twill and satin). Quantitative and qualitative variables were used in prediction by applying regression analysis and Artificial Neural Network (ANN) with a suitable coding system for different variables. Three independent models were derived to predict fabric stiffness by using regression analysis and compared to ANN model. Model (3) is the best prediction tool depending on regression analysis to predict fabric stiffness due to higher interpretation of the relation between variables used in prediction of fabric stiffness. Whereas, ANN achieved higher performance of validation (MSE = 7.41E-05) and total value of (R2= 0.967) when comparing to regression analysis model.

Wearable ECG systems for accurate mental stress detection: a scoping review

Authors

Mohamed Naeem,Sahar Ali Fawzi,Hamed Anwar,Abdel Salam Malek

Published Date

2023/9/23

BackgroundMental and physical health is fundamentally linked. Both significantly impact people’s overall health, quality of life, demands on health care, and other publicly funded services, which generates consequences for society. Therefore, wearable sensors have become more commonly used to gather data and track mental stress in an unobtrusive manner. Our scoping review aims to investigate studies that employ wearable ECG sensors to detect and track stress.MethodsThe Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) framework databases were deemed to represent a majority of the literature. Moreover, websites that provide gray literature were also searched for articles of relevance. Three health and information technology research databases (PubMed, Google Scholar, and IEEE Xplore) were searched for papers covering non-invasive ECG-based wearables to collect …

Prediction of fabric pilling tendency based on blended worsted fabric construction

Authors

Sherien Elkateb,Eman Mustafa,Sherwet El Gholmy,Adel El Geiheini,Abdel Salam Malek

Journal

The Journal of The Textile Institute

Published Date

2023/5/4

This article investigates a comparison between three different models to predict pilling rates of blended worsted fabrics using the ICI box testing method. Regression analysis was used to relate between weft yarn counts, picks per inch, fabric weave structure and pilling rates. Based on three different selected materials of weft yarns, a coding system was established to differentiate between single and plied weft yarn counts. The results showed an independent equation for every model, whereas the R-square values were acceptable for all models. Furthermore, fabric weave structure was found as the closest variable affecting pilling rates in two models when considering the value of coefficient of correlation.

Electrical behavior investigation of sewn textile transmission paths on weft-knitted fabrics used for muscle activity monitoring

Authors

Abdel Salam Malek,Ashraf Elnahrawy,Doaa Wagdy

Journal

The Journal of The Textile Institute

Published Date

2022/9/26

In mobile health monitoring systems, particularly wearable electronic systems (WES), bio-signals measuring tools embedded in clothing becomes a viable alternative. Such an alternative is usually designed using flexible conductive media that can capture and transmit bio-signals while maintaining signal reliability and biocompatibility. In addition, WES products are effectuated by the emergence of conductive threads as an appropriate electrical medium for health monitoring through wearable garments. To accomplish this task, conductive threads are emerging as an appropriate electrical medium for bio-signals monitoring. Therefore, the conductive thread is to be considered as a key factor in designing and manufacturing textile-based electronics. However, the behavior of conductive threads under different sewing parameters has been studied to obtain high-quality bio-signals. The article herein the impact of …

From fabric to smart T-shirt: Fine tuning an improved robust system to detect arrhythmia

Authors

Abdel Salam Malek,Ashraf Elnahrawy,Hamed Anwar,Mohamed Naeem

Journal

Textile Research Journal

Published Date

2022/9

Wearable electrocardiogram (ECG) systems should be comfortable, non-stigmatizing, and capable of producing high-quality data. Many different designs of wearable textile ECG systems have recently emerged. Some of them are not considered to be smart garments, whereas most of the others present only the electronic side of the system. Our research work introduces a comprehensive study for an improved single-lead ECG smart shirt to identify automatically premature ventricular contraction as a common form of arrhythmia.For artifact-free results, Marvelous Designer is implemented to design our optimized relaxed slim fit shirt. In addition, a weft-knitted fabric of 80% nylon–20% spandex is used to manufacture the outer part of the shirt.Moreover, lightweight and small size electronic components are integrated to the outer part via low-resistance dry textile electrodes and 100% cotton fabric as an inner layer for …

Behavior of FRP rods under uniaxial tensile strength with multiple materials as an alternative to steel rebar

Authors

Mohamed M Attia,Osama Ahmed,Osama Kobesy,Abdel Salam Malek

Journal

Case Studies in Construction Materials

Published Date

2022/12/1

Steel corrosion raises maintenance costs and reduces the durability of steel-reinforced concrete structures. Therefore, societies must create their own sustainable model based on finding new technologies that enable them to benefit from the available resources thus reducing their construction cost and maintenance burdens. Fiber Reinforced Polymer (FRP) introduces an innovative and alternative approach to replace traditional steel bars and strands. So, this paper investigates the behavior of synthetic and natural FRP of different fiber volume fractions (Vf) under uniaxial tensile load. To carry out this, four types of fiber are made by hand lay-up technique. Three of them are synthetic fibers which include glass fibers, nylon fibers, and polypropylene fibers, whereas jute is used as natural fibers. The results show hand lay-up technique of FRP gives resembles the results of the Pultrusion process. The tensile strength …

A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity

Authors

Sherien El kateb Eman Mustafa,AbdelSalam Malek,Sherwet El Gholmy,Adel El Geiheini

Journal

Alexandria Engineering Journal

Published Date

2022/12

A laboratory statistical tool based on fabric bending rigidity and weft yarn count to predict fabric pilling grades of blended worsted fabrics is proposed. Multiple regression analysis is performed to obtain three dependent models as evaluation tools for pilling tendency. Three different materials of weft yarns; 60/40% blend of wool/polyester fibers, 35/65% blend of viscose/polyester fibers and 20/40/40% blend of viscose/polyester/acrylic fibers were considered. Moreover, four different counts of weft yarns, different ranges of picks per inch (44–50) and three structures of fabric weave (Plain, twill and satin) were used. Results showed that the first model recorded the best performance to predict fabric pilling grades when considering coefficient of regression analysis was (R2 = 0.92) and Mean Square Error was (MSE = 0.074). Moreover, measuring of fabric bending rigidity and counts of weft yarns is sufficient to be an …

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

Authors

Abdel Salam Malek,Ashraf Elnahrawy,Hamed Anwar,Mohamed Naeem

Journal

Biomedical Physics & Engineering Express

Published Date

2020/1/20

Nowadays, with the increasing number of people who suffer from cardiovascular diseases such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to healthcare conditions. Therefore, the production of smart biomedical garments becomes of great necessity. The first step of manufacturing such smart garments is to build an electrocardiogram (ECG) analysis system. In this paper, the premature ventricular contraction (PVC), which is a serious life-threatening cardiovascular condition, is recognised. In addition, an improved template matching technique is developed, implemented, and evaluated to identify the irregularity of PVC beats in the QRS complex and T wave. The improvement in this technique is that a PVC recogniser is established by analysing the maximum and minimum correlation coefficient values instead of the maximum values only. Moreover, a sufficient number of features are …

See List of Professors in Abdel Salam MALEK University(Suez University)

Abdel Salam MALEK FAQs

What is Abdel Salam MALEK's h-index at Suez University?

The h-index of Abdel Salam MALEK has been 4 since 2020 and 4 in total.

What are Abdel Salam MALEK's top articles?

The articles with the titles of

Prediction of Fabric Stiffness Based On Fabric Construction

Wearable ECG systems for accurate mental stress detection: a scoping review

Prediction of fabric pilling tendency based on blended worsted fabric construction

Electrical behavior investigation of sewn textile transmission paths on weft-knitted fabrics used for muscle activity monitoring

From fabric to smart T-shirt: Fine tuning an improved robust system to detect arrhythmia

Behavior of FRP rods under uniaxial tensile strength with multiple materials as an alternative to steel rebar

A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity

Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm

are the top articles of Abdel Salam MALEK at Suez University.

What are Abdel Salam MALEK's research interests?

The research interests of Abdel Salam MALEK are: Mechanics, Smart and Technical Textiles, Automation, Artificial intelligence

What is Abdel Salam MALEK's total number of citations?

Abdel Salam MALEK has 142 citations in total.

What are the co-authors of Abdel Salam MALEK?

The co-authors of Abdel Salam MALEK are Sherwet EL Gholmy, Sherien Elkateb.

    Co-Authors

    H-index: 4
    Sherwet  EL Gholmy

    Sherwet EL Gholmy

    Alexandria University

    H-index: 4
    Sherien Elkateb

    Sherien Elkateb

    Alexandria University

    academic-engine

    Useful Links