Dr. Pouyan Mehryar

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Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2016 in BioMed Research International

Journal Article

Biosynthesis and Characterization of Silver Nanoparticles byAspergillusSpecies

Kamiar Zomorodian

Seyedmohammad Pourshahid

Arman Sadatsharifi

Pouyan Mehryar

Keyvan Pakshir

Ali Arabi Monfared

Currently, researchers turn to natural processes such as using biological microorganisms in order to develop reliable and ecofriendly methods for the synthesis of metallic nanoparticles. In this study, we have investigated extracellular biosynthesis of silver nanoparticles using fourAspergillusspecies includingA. fumigatus,A. clavatus,A. niger,andA. flavus. We have also analyzed nitrate reductase activity in the studied species in order to determine the probable role of this enzyme in the biosynthesis of silver nanoparticles. The formation of silver nanoparticles in the cell filtrates was confirmed by the passage of laser light, change in the color of cell filtrates, absorption peak at 430 nm in UV-Vis spectra, and atomic force microscopy (AFM). There was a logical relationship between the efficiencies of studiedAspergillusspecies in the production of silver nanoparticles and their nitrate reductase activity.A. fumigatusas the most efficient species showed the highest nitrate reductase activity among the studied species whileA. flavusexhibited the lowest capacity in the biosynthesis of silver nanoparticles which was in accord with its low nitrate reductase activity. The present study showed thatAspergillusspecies had potential for the biosynthesis of silver nanoparticles depending on their nitrate reductase activity.

1 August 2016

Conference Paper

Real-time gait event detection for lower limb amputees using a single wearable sensor

H. F. Maqbool

M. A. B. Husman

Mohammed Awad

Alireza Abouhossein

Pouyan Mehryar

A. A. Dehghani-Sanij

This paper presents a rule-based real-time gait event/phase detection system (R-GEDS) using a shank mounted inertial measurement unit (IMU) for lower limb amputees during the level ground walking. Development of the algorithm is based on the shank angular velocity in the sagittal plane and linear acceleration signal in the shank longitudinal direction. System performance was evaluated with four control subjects (CS) and one transfemoral amputee (TFA) and the results were validated with four FlexiForce footswitches (FSW). The results showed a data latency for initial contact (IC) and toe off (TO) within a range of ± 40 ms for both CS and TFA. A delay of about 3.7 ± 62 ms for a foot-flat start (FFS) and an early detection of -9.4 ± 66 ms for heel-off (HO) was found for CS. Prosthetic side showed an early detection of -105 ± 95 ms for FFS whereas intact side showed a delay of 141 ±73 ms for HO. The difference in the kinematics of the TFA and CS is one of the potential reasons for high variations in the time difference. Overall, detection accuracy was 99.78% for all the events in both groups. Based on the validated results, the proposed system can be used to accurately detect the temporal gait events in real-time that leads to the detection of gait phase system and therefore, can be utilized in gait analysis applications and the control of lower limb prostheses.

1 September 2015 in Journal of Cranio-Maxillofacial Surgery

Journal Article

Intraosseous heat generation during sonic, ultrasonic and conventional osteotomy

Ashkan Rashad

Pooyan Sadr-Eshkevari

Max Heiland

Ralf Smeets

Henning Hanken

Johannes Wikner

1 February 2020 in Gait & Posture

Journal Article

Differences in muscle synergies between healthy subjects and transfemoral amputees during normal transient-state walking speed

Pouyan Mehryar

Mohammad S. Shourijeh

Tahmineh Rezaeian

Amin R. Khandan

Neil Messenger

Abbas Dehghani-Sanij

5 September 2019 in Journal of Biomaterials Applications

Journal Article

Electrospun poly(3-hydroxybutyrate)/chicken feather-derived keratin scaffolds: Fabrication, in vitro and in vivo biocompatibility evaluation

Moein Zarei

Nader Tanideh

Shahrokh Zare

Fatemeh Sari Aslani

Omid Koohi-Hosseinabadi

Rajendran Muthuraj

Keratin was extracted from chicken feather to produce scaffolds with poly(3-hydroxybutyrate) (P(3HB)) for tissue engineering applications. The scaffolds with different concentrations (10%, 20%, and 30%) of keratin were produced by electrospinning. The keratin presence in the produced scaffold was confirmed by FTIR analysis. The surface wettability of the P(3HB)/keratin scaffold was much higher compared to neat P(3HB) scaffold because of hydrophilic nature of the keratin. All the scaffolds showed over 80% porosity with an average fiber diameter of less than 750 nm. Mechanical properties of the P(3HB) scaffolds with up to 20% keratin were superior compared to neat P(3HB) scaffold. However, the mechanical properties of the P(3HB)/keratin scaffolds were deteriorated when the keratin concentration was 30% in the scaffold. The observed mechanical properties reduction was mainly attributed to the poor interaction between the keratin and P(3HB) matrix. Due to better biocompatibility of keratin, cell culture studies suggested that the P(3HB)/keratin scaffolds can have better cell attachment and proliferation compared to the neat P(3HB) scaffold. Owing to good biological response and mechanical properties, the P(3HB)/keratin scaffolds with an optimal concentration of keratin (20%) could be used as potential material for tissue engineering application.

1 January 2017

Conference Paper

Heuristic based gait event detection for human lower limb movement

M. Zakria

H.F. Maqbool

T. Hussain

Mohammed Awad

Pouyan Mehryar

A.A. Dehghani-Sanij

Gait event detection is important for intent predication in lower limb prostheses and exoskeletons during different activities. Human gait cycle is divided into two main phases i.e. swing phase and stance phase. Initial contact (IC) with the ground indicate the start of stance phase while Toe Off (TO) is the start of swing phase. This article presents algorithm based on set of heuristic rules for gait event detection using a single gyroscope attached on shank of subjects performing activities of daily living such as normal walking, fast walking, ramp ascending and ramp descending. The algorithm sequentially detected gait events like IC, TO, Midswing (MSw) and Midstance (MSt). Results were compared with the reference pressure measurement system using Flexiforce footswitches (FSW). The mean difference error between the reference and proposed system was for IC is about +4ms and for TO is about -6.5ms. The results showed that proposed algorithm achieved high detection performance compared to the existing algorithms and will lead to powerful tool to develop an intent recognition system for lower limb amputees.

About Me

Pouyan Mehryar obtained his Master of Engineering (MEng) with first-class honours (within-top 1%) in Mechanical and Medical Engineering from the University of Hull. He received his PhD degree from the institute of Design, Robotics and Optimisation (iDRO), School of Mechanical Engineering at the University of Leeds, UK, in 2018. After obtaining his PhD, he became a Postdoctoral Research Fellow in iDRO working on the Development of Intelligent Control for a Wearable Soft Robotic System. Following that, he was appointed as a Postdoctoral Teaching Fellow responsible for teaching Biomechatronics and Medical Robotics to master students which mainly involved the use of Artificial Intelligence (i.e., machine learning techniques) in robotic applications. In addition, he worked as a Postdoctoral Researcher at the Healthcare Innovation Centre of Teesside University based at TWI, Cambridge/UK. Currently, he is a postdoctoral research associate at Imperial College London, working on Orthopaedic Surgical Technologies. His research interests lie in the areas of biomechanics, clinical movement analysis, rehabilitation robotics, artificial intelligence, multibody dynamics, and biostatistics. His previous research focused on the neuromuscular coordination strategy of lower limb amputees from a biomechanics and robotic control perspective. Subsequently, He has been involved in developing intelligent techniques and devices for a wide range of applications.

Dr. Pouyan Mehryar

Dr. Pouyan Mehryar

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About Me