Reza Saatchi

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Reader

Sheffield Hallam University

United Kingdom

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About

Reza Saatchi is a Reader at Sheffield Hallam University in the United Kingdom. His research focuses on eHealth applications, medical imaging analysis, and the development of innovative monitoring devices for pediatric health. Recent publications highlight his work in fuzzy logic, deep learning techniques, and the implementation of novel algorithms for health monitoring and analysis.

Recent Grants

Grant: Close

Confidence-in-Concept scheme, 'Vibrascan: Vibration as a Tool for Bone Density Assessment in Children

Open Date: 2016-05-01

Close Date: 2017-05-01

Grant: Close

Development of the 'BreathEasy: a non-contact, hand-held device for measurement of respiratory rate (CPRM)

Open Date: 2012-11-01

Close Date: 2013-07-01

Articles (16)

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2025

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2020

Collaborators (3)

Melissa Lacey

Lecturer in Microbiology

Sheffield Hallam University

UNITED KINGDOM

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Olamilekan Shobayo

Senoir Lecturer

Sheffield Hallam University

UNITED KINGDOM

View details

Xu Xu

Reader

Sheffield Hallam University

UNITED KINGDOM

View details

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Reza Saatchi

Research Interests

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Contact this professor

About

Recent Grants

Articles (16)

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation

Development and Evaluation of a Multi-Robot Path Planning Graph Algorithm

A Fuzzy Logic-Based eHealth Mobile App for Activity Detection and Behavioral Analysis in Remote Monitoring of Elderly People: A Pilot Study

Design, Development, and Evaluation of a Contactless Respiration Rate Measurement Device Utilizing a Self-Heating Thermistor

Development of a New Prototype Paediatric Central Sleep Apnoea Monitor

Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics

Fuzzy Logic Concepts, Developments and Implementation

Infrared Thermal Imaging Analysis in Screening for Toddler’s Fracture: A Proof-of-Concept Study

Infrared Thermal Imaging and Artificial Neural Networks to Screen for Wrist Fractures in Pediatrics

Proof-of-Concept Study of the Use of Accelerometry to Quantify Knee Joint Movement and Assist with the Diagnosis of Juvenile Idiopathic Arthritis

Infrared thermography can detect previsual bacterial growth in a laboratory setting via metabolic heat detection

Juvenile Idiopathic Arthritis: A Review of Novel Diagnostic and Monitoring Technologies

Kohonen Neural Network Investigation of the Effects of the Visual, Proprioceptive and Vestibular Systems to Balance in Young Healthy Adult Subjects

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

Thermal and Visual Imaging to Assist with Juvenile Idiopathic Arthritis Examination of the Knees

Demonstration of the Effect of Centre of Mass Height on Postural Sway Using Accelerometry for Balance Analysis

Collaborators (3)

Melissa Lacey

Olamilekan Shobayo

Xu Xu

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