Tissues and Biomaterial Research Group-(TBRG)
Journal of Bioengineering Research
2645-5633
2
4
2020
12
04
Study of Genes Associated With Parkinson Disease Using Feature Selection
1
11
EN
Hoda
Rafieipour
Department of Computer Science, Memorial University of Newfoundland, NF, Canada
hrafieipour@mun.ca
Azadeh
Abdollah Zadeh
0000-0002-5962-119X
Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
aabdollahzad2016@fau.edu
Atefeh
Moradan
Department of Computer Science, Aarhus University, Aarhus, Denmark
atefeh.moradan@cs.au.dk
Zahra
Salekshahrezaee
0000-0003-0734-0983
Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, FL, USA
zsalekshahre2018@fau.edu
10.22034/jbr.2020.251812.1035
The second most prevalent age-related neurodegenerative disease is Parkinson's (PD) and Genes associated with human diseases like Parkinson are descriptive. Genome-wide association study (GWAS) is used to classify the genes associated with Parkinson’s and other diseases. The information of identified genes empowers scientists to early diagnose, treat, and sop diseases. Due to the complexities of the illness, identifying such genes is a challenging task. In this article, we apply two methods of feature selection to choose a subset of genes that are used to predict PD with high precision in classification. The chromosome corresponding to selected features is analyzed by Perturbation-based Feature Selection (PFS) and Hilbert-Schmidt independence criterion (HSIC)-Lasso. These algorithms are used to identify how chromosomes play an important role with respect to PD. We used a dataset consist of 50 predominantly patients gene expression profiles with early-stage Parkinson's disease (PD) and 55 normal GEO samples. These methods provide a series of features involved in disease-specific processes that are applied to prioritize candidate genes in GWAS loci.
Genome-wide association (GWAS),Single Nucleotide Polymorphisms,Perturbation- based feature selection,Support vector machine (SVM),Adaboost
https://www.journalbe.com/article_119745.html
https://www.journalbe.com/article_119745_70020972d36e404d1cf7b917f4b871a0.pdf
Tissues and Biomaterial Research Group-(TBRG)
Journal of Bioengineering Research
2645-5633
2
4
2020
12
31
A Portable Motion Sensor to Measure the Movements of Runners for Biomechanics Analysis
12
22
EN
Elham
Zare
Faculty of Science and Medical Technologies, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran
elham0zare20@gmail.com
Seyed Mohsen
Mohammadi
Department of Mathematics, Faculty of Basic Sciences, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.
s11mohamadi@yahoo.com
Reza
Abbasi Kesbi
0000-0001-5726-5315
MEMS & NEMS Laboratory, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
reza.abbasi@ut.ac.ir
10.22034/jbr.2020.253869.1036
Learning the activities of professional runners has always been very important for researchers because it leads to learning their movements by amateurs. Therefore, learning and recording movements accurately help to learn amateurs. In this paper, a portable system to record the obtained data of runners is presented. The presented system consists of an accelerometer and gyroscope sensor, a Bluetooth module as well as a processor that the data of three-dimensional angular velocity and linear acceleration sensors are read and recorded with the help of the small processor. This data is then stored in the processor and then sent to a Bluetooth module through the UART protocol. The data are sent to a personal computer for recording and simulation. The data are read using Matlab software and then illustrated. The results show that this system measures motion parameters for runners and can be calculated steps of movement. Additionally, the outcome result can be compared with professional runners by the amateurs for learning. The presented system is very small and inexpensive that can be easily used to record the activities among amateurs and improve their movements.
Motion sensor,Runners,biomechanics analysis
https://www.journalbe.com/article_119748.html
https://www.journalbe.com/article_119748_cdb43d094b407657ccccf2a98ebfa12f.pdf
Tissues and Biomaterial Research Group-(TBRG)
Journal of Bioengineering Research
2645-5633
2
4
2020
11
01
The Effect of EMS on Strength of Biceps Brachii Muscle
23
32
EN
Mohammad
Najafi
Faculty of Science and Medical Technologies, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran.
info@mohammadnajafi.ir
Siamak
Khorramymehr
Faculty of Science and Medical Technologies, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran.
khorramymehr@gmail.com
Koorosh
Nakhaei
Faculty of Engineering, Department of Biomedical Engineering, Islamic Azad University, Islamshahr Branch, Islamshahr, Tehran, Iran.
koorosh.n2020@gmail.com
10.22034/jbr.2020.245454.1029
The method of electrical muscle stimulation (EMS) method, which is defined as the contraction of muscles by the creation of internal electrical stimuli, is used to increase the strength and volume of athletes' muscles in order to increase their performance. EMS has gained a lot of attention in recent years and can be used as a strength training tool for healthy people. EMS can be used as a test tool to assess neuro or muscular functions in vivo. In this paper, the effect of using the EMS method to strengthen muscle fibers is investigated by training the biceps brachii muscle. For this purpose, after studying many volunteers, 12 of them were selected and the strength of their biceps brachii muscles evaluated by a dynamometer before and after the EMS. The obtained results show that the biceps brachii muscle strength significantly increases in the volunteers after training by EMS for a duration of two weeks.
Electrical muscle simulation,elbow flexion,biceps brachii,dynamometer
https://www.journalbe.com/article_119746.html
https://www.journalbe.com/article_119746_d99c49a11a3e4824628ec560e3c0e9c0.pdf
Tissues and Biomaterial Research Group-(TBRG)
Journal of Bioengineering Research
2645-5633
2
4
2020
12
30
Developing an In-expensive Device for Measuring the Pressure of Children's Soles
33
41
EN
Mohammad
Najafi
Faculty of Science and Medical Technologies, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran.
info@mohammadnajafi.ir
Atefeh
Valipour
Department of Biomedical Engineering, Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research Branch, Tehran, Iran,
a.valipour42@yahoo.com
Seyed Mohsen
Mohammadi
Department of Mathematics, Faculty of Basic Sciences, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.
s11mohamadi@yahoo.com
10.22034/jbr.2020.245574.1030
Walking is one of the most necessary and important movements among humans, especially children. Walking problems can have serious consequences for children at an older age. In this paper, a system is developed that can show the pressure on the soles of children's feet. With this device, children's walking problems can be solved to a high extent. First, the weight sensor information is amplified with the help of an op-amp, and then it is read through an analog-to-digital converter, and with the help of this analog-to-digital converter, it is digitized. As it turns out, sensors have to translate information into machine language in order to transmit information, which can be done with the help of an analog-to-digital converter. After the micro converts this data to digital, the system is then calibrated and the calibrated data is sent to the computer via the UART protocol using a TTL to USB converter. This data is displayed on the computer for further review.
Pressure of foot sole,Load Cell,microcontroller,Hx711
https://www.journalbe.com/article_119747.html
https://www.journalbe.com/article_119747_7aa26083b2eeca54c1f0a3a6ee009e0b.pdf
Tissues and Biomaterial Research Group-(TBRG)
Journal of Bioengineering Research
2645-5633
2
4
2020
12
01
3D Bioprinting for Bone and Cartilage Tissue Engineering.
EN
10.22034/jbr.2020.119749
https://www.journalbe.com/article_119749.html
https://www.journalbe.com/article_119749_d41d8cd98f00b204e9800998ecf8427e.pdf