Search for: wearable-sensors
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    Using Blockchain to achieve Privacy in E-health

    , M.Sc. Thesis Sharif University of Technology Meisami, Sajad (Author) ; Aref, Mohammad Reza (Supervisor)
    With the advent of the Internet of Things (IoT), e-health has become one of the main topics of research. Due to the sensitivity of patient information, patient privacy seems challenging. Nowadays, patient data is usually stored in the cloud in healthcare programs, making it difficult for users to have enough control over their data. The recent increment in announced cases of security and surveillance breaches compromising patients' privacy call into question the conventional model, in which third-parties gather and control immense amounts of patients' Healthcare data. In this work, we try to resolve the issues mentioned above by using blockchain technology. We propose a blockchain-based... 

    Design and Implementation of Wearable Sensor for Cardiac Arrhythmia Detection

    , M.Sc. Thesis Sharif University of Technology Banaei Kashani, Amir Ali (Author) ; Fakharzadeh Jahromi, Mohammad (Supervisor)
    Today, by emerging wearable technologies and digital health, it is possible to constantly monitor vital signals of people without time-consuming and costly referrals to medical centers. Applications of wearable sensors for health monitoring include electrocardiograms (ECG), blood pressure measurement, and blood sugar measurement, etc. One of the important fields of health monitoring is cardiac arrhythmia detection. Cardiac arrhythmia is any kind of anomalies in heart beat rhythm that can lead to serious damage to vital organs of the body. It is estimated that between 750 thousand to 1.5 million people are facing cardiac arrhythmia in Iran. Therefore, early detection of cardiac arrhythmia is... 

    A new approach to flexible humidity sensors using graphene quantum dots

    , Article Journal of Materials Chemistry C ; Volume 5, Issue 35 , 2017 , Pages 8966-8973 ; 20507534 (ISSN) Hosseini, Z. S ; Iraji Zad, A ; Ghiass, M. A ; Fardindoost, S ; Hatamie, S ; Sharif University of Technology
    Highly sensitive flexible humidity sensors based on graphene quantum dots (GQDs) were developed. The GQDs were prepared using a facile hydrothermal method and characterized considering morphological, structural, and compositional experiments. Then, their humidity sensing properties in correlation with flexibility characteristics were investigated. Good selectivity and response (∼390 for a RH change of 99%), broad detection range (1-100% RH), rather short response and recovery times (12 and 43 s, respectively) as well as flexibility were obtained, demonstrating that the GQD sensors have potential for application in wearable electronics and RH monitoring. Detection of hydrogen (H2) gas by the... 

    Review - Textile based chemical and physical sensors for healthcare monitoring

    , Article Journal of the Electrochemical Society ; Volume 167, Issue 3 , 2020 Hatamie, A ; Angizi, S ; Kumar, S ; Pandey, C. M ; Simchi, A ; Willander, M ; Malhotra, B. D ; Sharif University of Technology
    Institute of Physics Publishing  2020
    The emergence of textile-based wearable sensors as light-weight portable devices to monitor desired parameters, has recently gained much interest and has led to the development of flexible electronics on non-rigid substrates. The flexible biosensors may result in improved sports performance, to monitor the desired bodies for injuries, improved clinical diagnostics and monitor biological molecules and ions in biological fluids such as saliva, sweat. In addition, they could help users with different types of disorders such as blindness. In this context, new composite and nanomaterials have been found to be promising candidates to obtain improved performance of the textile based wearable... 

    A review on the features, performance and potential applications of hydrogel-based wearable strain/pressure sensors

    , Article Advances in Colloid and Interface Science ; Volume 298 , 2021 ; 00018686 (ISSN) Rahmani, P ; Shojaei, A ; Sharif University of Technology
    Elsevier B.V  2021
    Over the past few years, development of wearable devices has gained increasing momentum. Notably, the demand for stretchable strain sensors has significantly increased due to many potential and emerging applications such as human motion monitoring, prosthetics, robotic systems, and touch panels. Recently, hydrogels have been developed to overcome the drawbacks of the elastomer-based wearable strain sensors, caused by insufficient biocompatibility, brittle mechanical properties, complicated fabrication process, as the hydrogels can provide a combination of various exciting properties such as intrinsic electrical conductivity, suitable mechanical properties, and biocompatibility. There are... 

    Design and Manufacturing of Wearable System for Assessment Risk Factor in Symmetric Lifting Task

    , M.Sc. Thesis Sharif University of Technology Keshavarz Moghadam, Hossein (Author) ; Firoozbakhsh, Keikhosro (Supervisor) ; Narimani, Roya (Supervisor)
    Low back disorders (LBD) is one of the most musculo-skeletal disorders in industrial environments in which it can impose to the society.Therefore, it is very important to reaserch the causes of LBDs, prevention methods and evaluation risk factor in lifting tasks in order to avoid the prevalence of LBDs in society. There is no doubt heavy lifting has a significant role in emerging of LBDs. Hence, many safety risk assessment tools have been made by researchers.Using assessment tools, we need to know the input parameters corrospending to the assessment tools. Input parameters in assessment tools have been measured in a way of traditional method or by expensive equipment in laboratories. On... 

    Design and Development of a Mobility Recognition System in PD Patients for Tele-rehabilitation

    , M.Sc. Thesis Sharif University of Technology Mohammadi Nasrabadi, Amin (Author) ; Behzadipour, Saeed (Supervisor) ; Alibiglou, Laila (Co-Supervisor)
    Parkinson's disease is a neurodegenerative disorder that affects motor functions. Performing mobility exercises help patients slowing down the progression of the illness and improving symptoms of the disease. Assessment and evaluation of activities of mobility exercises are critical for any treatment program particularly in tele-rehabilitation system. The purpose of the current study is to design an affordable and accurate wearable device with inertial measurement units (IMUs) for mobility activity recognition in Parkinson’s patients. The optimum number and arrangement (i.e. configuration) were found to minimize the cost while maintaining a fair accuracy. The activity recognition was... 

    Development of a Classifier for the Human Activity Recognition System of PD Patients Using Biomechanical Features of Motion

    , M.Sc. Thesis Sharif University of Technology Ejtehadi, Mehdi (Author) ; Behzadipour, Saeed (Supervisor)
    Parkinson’s disease (PD) is a neurodegenerative disorder and during the last few years considerable measures have been taken to rehabilitate its patients. To prevent the disorder from deteriorating and to control its progress, patients have to undergo some therapy sessions that incorporate some mobility exercises e.g. walking, sitting up and down, and etc. Since transporting the patients to the clinical centers is too burdensome, growing attention is drawn towards telerehabilitation. To this end, DMRCINT has developed a telerehab system for PD patients. This system is an intelligent classifier that uses features of linear acceleration and angular velocity signals to detect the activity that... 

    Development of a Human Activity Recognition System with an Adaptive Neuro-Fuzzy Post-Processing for the Lee Silverman Voice Treatment-BIG and Functional Activities

    , M.Sc. Thesis Sharif University of Technology Partovi, Ehsan (Author) ; Behzadipour, Saeed (Supervisor)
    Human Activity Recognition (HAR) has had tremendous improvements in the field of elderly monitoring and telerehabilitation. An anchor point for HAR systems in telerehabilitation is supervising rehabilitative excercises. For Parkinson’s disease (PD) patients, a group of rehabilitative activities, known as Lee Silverman Voice Treatment-BIG, or LSVT-BIG, have shown to be effective in improving motor performance. Similar to any rehabilitative measure, delivering these activities requires the supervision of an expert or clinician, so that the patient receives proper feedbacks. HAR systems can replace human experts. They can recognize activities and provide the user with proper feedback. HAR... 

    Improving the Performance of an Activity Recognition System Using Meaningful Data Augmentation and Deep Learning Methods

    , M.Sc. Thesis Sharif University of Technology Riazi Bakhshayesh, Parsa (Author) ; Behzadipour, Saeed (Supervisor)
    Researchers working at Mowafaghian Rehabilitation Research Center have decided to develop a telerehabilitation system named SEPANTA, especially designed for activity recognition of Parkinson's Disease patients. In this regard, the system uses 34 mobility exercises, including 20 LSVT-BIG activities (especially designed for PD patients) and 14 functional daily activities. Human Activity Recognition (HAR) systems faces various challenges e.g., intra-class variabilities, meaning differences in an activity performance by different persons or a person. Data augmentation and utilizing deep learning models are the most common solutions for the risen challenges. However, deep structures require an... 

    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
    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... 

    NAFAS: non-rigid air flow active sensor, a cost-effective, wearable, and ubiquitous respiratory bio-sensor

    , Article IEEE Sensors Journal ; Volume 21, Issue 7 , 2021 , Pages 9530-9537 ; 1530437X (ISSN) Annabestani, M ; Esmaeili Dokht, P ; Khazaee Nejad, S ; Fardmanesh, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    A Non-rigid Air Flow Active Sensor (NAFAS) to detect the respiratory patterns is introduced in this paper. The main part of NAFAS is an ionic electroactive polymer-based ( ${i}$ -EAP) soft sensor. It can accurately detect breathing patterns and has promising features to develop low cost, wearable, and ubiquitous spirometers. Patients with respiratory diseases need to take pulmonary function tests consistently. Hence, it is time-consuming and expensive. To address these problems, NAFAS presents point-of-care testing (POCT) of the respiratory system's function. The proposed ${i}$ -EAP based sensor is a small strip of Ionic Polymer Metal Composite (IPMC) that has been fabricated using a Nafion... 

    Converter Design for Hybrid Thermoelectricity and Solar Energy Harvesting for Wearable Sensors

    , M.Sc. Thesis Sharif University of Technology Kadkhodaei, Mohammad Reza (Author) ; Zolghadri, Mohammad Reza (Supervisor) ; Fakharzadeh Jahromi, Mohammad (Co-Supervisor)
    Power harvesters are used to generate energy for electronic devices. These electrical energy generators consist of three main parts: energy source, power electronic converter and energy storage. In order to minimize some of the weaknesses of these devices, including low power density and low reliability, the hybrid power harvesting method can be utilized. In this thesis, we design and build a hybrid energy harvester considering the advantages of simultaneous usage of solar and thermal energies for a wearable sensor, focusing on "efficiency enhancement" and "availability improvement". In the designed device, both solar and thermal energy harvesting units operate independently. In the solar... 

    Development and Validation of Biomechanical Model for Calculation of Moment into the Intervertebral L5-S1 Disc and the amount of NIOSH Permissible Limit Load During Lifting Activity

    , M.Sc. Thesis Sharif University of Technology Rajabtabar, Mahmood (Author) ; Parnianpor, Mohammad (Supervisor) ; Narimani, Roya (Supervisor)
    Lifting is considered a major risk to people's health in life, particularly to the workers. Appropriate wearable tools for measuring the individual’s kinematic and kinetic movement are required for examining and analyzing the lifting activity to prevent injury in the workplace. Different wearable systems have been developed to calculate the force applied on the foot sole to analyze movement in various areas of gait analysis, occupational biomechanics, sports, and other areas. The accuracy and precision of these systems need to be tested before application in any of these areas. In this study, 3 subjects performed five different activities of symmetrical lifting by placing Pedar insoles in... 

    Complex Activity Recognition by Means of an IMU-Based Wearable System for the Purpose of PD Patients’ Rehabilitation

    , M.Sc. Thesis Sharif University of Technology Tahvilian, Ehsan (Author) ; Behzadipour, Saeed (Supervisor) ; Ali Beiglou, Leila (Co-Supervisor)
    Parkinson's is a disease caused by a disorder in the central nervous system of the body. There is no definite cure for this disease, but one of the ways to prevent the progress of this disease is to use movement therapy. One of the goals of designing wearable systems consisting of inertial sensors is to make it possible to perform this movement therapy from a distance. The purpose of the present study and research is to use the approach of simple and complex activities in order to increase the accuracy in the detection of activities and also to solve the problems of the previous system, with the help of creating the ability to detect complex meaningful activities for Parkinson's patients. In... 

    Novel printed body worn sensor for measuring the human movement orientation

    , Article Sensor Review ; Volume 36, Issue 3 , 2016 , Pages 321-331 ; 02602288 (ISSN) Mokhlespour Esfahani, M. I ; Taghinedjad, S ; Mottaghitalab, V ; Narimani, R ; Parnianpour, M ; Sharif University of Technology
    Emerald Group Publishing Ltd  2016
    Purpose - the purpose of this study is the measuring of the human movement using printed wearable sensor. Human movement measurement is one of the usages for wearable sensors. This technology assists the researchers to collect data from the daily activities of individuals. In other words, the kinematics data of human motion will be extracted from this data and implemented in biomechanical aspects. Design/methodology/approach - This study presents an innovative printed wearable sensor which can be used for measuring human movement orientations. In this paper, the manufacturing process, implementation, measurement setup and calibration procedure of this new sensor will be explained, and the... 

    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
    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 fabrication of an ubiquitous, low-cost, and wearable respiratory bio-sensor using ionic soft materials

    , Article 26th National and 4th International Iranian Conference on Biomedical Engineering, ICBME 2019, 27 November 2019 through 28 November 2019 ; 2019 , Pages 55-59 ; 9781728156637 (ISBN) Annabestani, M ; Mirzaei, I ; Esmaeili Dokht, P ; Fardmanesh, M
    Institute of Electrical and Electronics Engineers Inc  2019
    The respiratory system is a vital organ system which makes breathing and gas exchange possible for human's body. The loss of functionality in this system is due to either genetical problems or environmental issues like pollution or toxic gases which in many cases is inevitable. These circumstances may cause different respiratory diseases which may not be curable presently but their side effects can be partly controlled by careful and timely analysis improving the quality of patient's life. So, an appropriate device for conducting different analysis can be effective for people who suffer from respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, occupational lung... 

    A practical sensor-based methodology for the quantitative assessment and classification of chronic non specific low back patients (NSLBP) in clinical settings

    , Article Sensors (Switzerland) ; Volume 20, Issue 10 , 2020 Davoudi, M ; Shokouhyan, S. M ; Abedi, M ; Meftahi, N ; Rahimi, A ; Rashedi, E ; Hoviattalab, M ; Narimani, R ; Parnianpour, M ; Khalaf, K ; Sharif University of Technology
    MDPI AG  2020
    The successful clinical application of patient-specific personalized medicine for the management of low back patients remains elusive. This study aimed to classify chronic nonspecific low back pain (NSLBP) patients using our previously developed and validated wearable inertial sensor (SHARIF-HMIS) for the assessment of trunk kinematic parameters. One hundred NSLBP patients consented to perform repetitive flexural movements in five different planes of motion (PLM): 0◦ in the sagittal plane, as well as 15◦ and 30◦ lateral rotation to the right and left, respectively. They were divided into three subgroups based on the STarT Back Screening Tool. The sensor was placed on the trunk of each... 

    A low-power signal-dependent sampling technique: analysis, implementation, and applications

    , Article IEEE Transactions on Circuits and Systems I: Regular Papers ; Volume 67, Issue 12 , 2020 , Pages 4334-4347 Hadizadeh Hafshejani, E ; Elmi, M ; Taherinejad, N ; Fotowat Ahmady, A ; Mirabbasi, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Sensors are among essential building blocks of any Cyber-Physical Systems (CPSs). Acquisition and processing of their sensory data contribute to the power consumption and computation load of the overall CPSs. For data acquisition, the conventional fixed frequency sampling in many such systems is sub-optimal since a sizable number of samples do not contain important information. In this work, we propose a Signal-Dependent Sampling (SDS) method and present its associated circuit implementation. Using the proposed SDS method, the number of retained samples is significantly reduced with little or negligible compromise in the quality of the (reconstructed) signal. The associated error and added...