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    Sharif-human movement instrumentation system (SHARIF-HMIS) for daily activities

    , Article 2012 19th Iranian Conference of Biomedical Engineering, ICBME 2012, 20 December 2012 through 21 December 2012 ; 2012 , Pages 143-148 ; 9781467331302 (ISBN) Mokhlespour, M. I ; Zobeiri, O ; Akbari, A ; Milani, Y ; Narimani, R ; Moshiri, B ; Parnianpour, M ; Sharif University of Technology
    2012
    Abstract
    Wearable measuring system has major effects on biomechanics of human movements especially in daily activities in order to monitor and analyze the human movements to achieve the most important kinematics parameters. In the recent decade, inertial sensors were utilized by researchers in order to developing wearable system for instrumentation of human movements. In this study, Sharif-Human Movement Instrumentation System (SHARIF-HMIS) was designed and manufactured. The system consists of inertial measurement units (IMUs), stretchable clothing and data logger. The IMU sensors are installed on the human body. The system can be used at home and also industrial environments. The main features of... 

    Trunk motion system (TMS) using printed body worn sensor (BWS) via data fusion approach

    , Article Sensors (Switzerland) ; Volume 17, Issue 1 , 2017 ; 14248220 (ISSN) Mokhlespour Esfahani, M. I ; Zobeiri, O ; Moshiri, B ; Narimani, R ; Mehravar, M ; Rashedi, E ; Parnianpour, M ; Sharif University of Technology
    MDPI AG  2017
    Abstract
    Human movement analysis is an important part of biomechanics and rehabilitation, for which many measurement systems are introduced. Among these, wearable devices have substantial biomedical applications, primarily since they can be implemented both in indoor and outdoor applications. In this study, a Trunk Motion System (TMS) using printed Body‐Worn Sensors (BWS) is designed and developed. TMS can measure three‐dimensional (3D) trunk motions, is lightweight, and is a portable and non‐invasive system. After the recognition of sensor locations, twelve BWSs were printed on stretchable clothing with the purpose of measuring the 3D trunk movements. To integrate BWSs data, a neural network data... 

    Sharif-Human movement instrumentation system (SHARIF-HMIS): Development and validation

    , Article Medical Engineering and Physics ; Volume 61 , 2018 , Pages 87-94 ; 13504533 (ISSN) Mokhlespour Esfahani, M. I ; Akbari, A ; Zobeiri, O ; Rashedi, E ; Parnianpour, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    The interest in wearable systems among the biomedical engineering and clinical community continues to escalate as technical refinements enhance their potential use for both indoor and outdoor applications. For example, an important wearable technology known as a microelectromechanical system (MEMS) is demonstrating promising applications in the area of biomedical engineering. Accordingly, this study was designed to investigate the Sharif-Human Movement Instrumentation System (SHARIF-HMIS), consisting of inertial measurement units (IMUs), stretchable clothing, and a data logger—all of which can be used outside the controlled environment of a laboratory, thus enhancing its overall utility.... 

    Design and prototyping of wearable measuring system for trunk movement using textile sensors

    , Article ICEE 2012 - 20th Iranian Conference on Electrical Engineering, 15 May 2012 through 17 May 2012 ; May , 2012 , Pages 1571-1575 ; 9781467311489 (ISBN) Mokhlespour, M. I ; Zobeiri, O ; Narimani, R ; Hoviattalab, M ; Moshiri, B ; Parnianpour, M ; Sharif University of Technology
    2012
    Abstract
    Wearable system is a proper solution for rehabilitation and instrumentation applications for human daily activities. Recently, several researches are concentrated on this technology significantly because of new progress in sensors and fusion sensors. In the near future, wearable and ambulatory devices will be used considerably in biomedical applications. In this study, we reviewed some methods about wearable measuring system then introduced and designed innovative wearable clothing for this purpose. Some specifications and advantages of our system in comparison with relevant researches are; using painted sensors that are manufactured through nano electro active polymer technology, low... 

    Using a motion sensor to categorize nonspecific low back pain patients: A machine learning approach

    , Article Sensors (Switzerland) ; Volume 20, Issue 12 , 2020 , Pages 1-16 Abdollahi, M ; Ashouri, S ; Abedi, M ; Azadeh Fard, N ; Parnianpour, M ; Khalaf, K ; Rashedi, E ; Sharif University of Technology
    MDPI AG  2020
    Abstract
    Nonspecific low back pain (NSLBP) constitutes a critical health challenge that impacts millions of people worldwide with devastating health and socioeconomic consequences. In today’s clinical settings, practitioners continue to follow conventional guidelines to categorize NSLBP patients based on subjective approaches, such as the STarT Back Screening Tool (SBST). This study aimed to develop a sensor-based machine learning model to classify NSLBP patients into different subgroups according to quantitative kinematic data, i.e., trunk motion and balance-related measures, in conjunction with STarT output. Specifically, inertial measurement units (IMU) were attached to the trunks of ninety-four...