scholarly journals Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2237
Author(s):  
Iosune Salinas-Bueno ◽  
Maria Francesca Roig-Maimó ◽  
Pau Martínez-Bueso ◽  
Katia San-Sebastián-Fernández ◽  
Javier Varona ◽  
...  
Keyword(s):  
Human Motion ◽  
Therapeutic Exercise ◽  
Non Invasive ◽  
Safety Parameters ◽  
Exploratory Experiment ◽  
High Motivation ◽  
Patient Profiles ◽  
Years Lived With Disability ◽  
Head Tracker ◽  
Rehabilitation Exercises

Vision-based interfaces are used for monitoring human motion. In particular, camera-based head-trackers interpret the movement of the user’s head for interacting with devices. Neck pain is one of the most important musculoskeletal conditions in prevalence and years lived with disability. A common treatment is therapeutic exercise, which requires high motivation and adherence to treatment. In this work, we conduct an exploratory experiment to validate the use of a non-invasive camera-based head-tracker monitoring neck movements. We do it by means of an exergame for performing the rehabilitation exercises using a mobile device. The experiments performed in order to explore its feasibility were: (1) validate neck’s range of motion (ROM) that the camera-based head-tracker was able to detect; (2) ensure safety application in terms of neck ROM solicitation by the mobile application. Results not only confirmed safety, in terms of ROM requirements for different preset patient profiles, according with the safety parameters previously established, but also determined the effectiveness of the camera-based head-tracker to monitor the neck movements for rehabilitation purposes.

Rapid and Non-Invasive Techniques

2022 ◽  
pp. 41-66
Author(s):  
Muhammad Haseeb Ahmad ◽  
Amna Sahar ◽  
Muhammad Imran ◽  
Muhammad Kamran Khan ◽  
Rabia Shabir Ahmad ◽  
...  
Keyword(s):  
Food Safety ◽  
Quality And Safety ◽  
Safety Issues ◽  
Non Invasive ◽  
Food Items ◽  
Business Meetings ◽  
Safety Parameters ◽  
Invasive Techniques ◽  
Modern Era ◽  
Non Destructive

In this modern era of digitalization and consumer awareness regarding food safety issues, it has become important to build proper strategies that can ensure the quality and safety of the food items from farm to forks. People love to eat at restaurants not only during business meetings but also with their family for fun and entertainment. The choice and safety of the food is vital to attract the consumer in this competitive environment. Previously, conventional methods have been employed for assurance of quality and safety parameters of the food. But in this modern era, there are many potential alternatives that can serve the purpose rapidly and non-destructively. Hence, this chapter describes the rapid and non-destructive methodologies such as fluorescence, NIRS, MIR, and Raman spectroscopy that can be used for the food safety evaluations.

scholarly journals Non-invasive interventions in idiopathic scoliosis: a systematic review

2017 ◽  
Vol 30 (suppl 1) ◽  
pp. 325-333
Author(s):  
André Ivaniski Mello ◽  
Ana Carolina Kanitz ◽  
Flávia Gomes Martinez
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Literature Review ◽  
Idiopathic Scoliosis ◽  
Scientific Basis ◽  
Evidence Based ◽  
Therapeutic Exercise ◽  
Non Invasive ◽  
Noninvasive Therapy ◽  
Invasive Intervention

Abstract Introduction: Idiopathic Scoliosis (IS) is an idiopathic curvature of the spine in all three plans, been treated conservatively (non-invasive) or surgicaly (invasive). The effectiveness of noninvasive therapy still remains lacking in a scientific basis to support their evidence-based applicability. Objective: Evaluate the effects of non-invasive interventions in spine lateral inclination in IS through a systematic literature review. Methods: The search of studies in MEDLINE, SCOPUS and COCHRANE databases was performed on 24th March, 2014. The terms used were: Scoliosis, therapeutic exercise, physical therapy. Clinical trials with scoliotic patients undergoing some type of non-invasive intervention were included. The outcome was spine lateral inclination. Results: The research found 941 studies, seven of these were included after a screening performed by two independent reviewers. Six studies (85.7%) have adopted some sort of kinesiotherapeutic technic, and three studies (42.8%) used corrective orthosis. The average intervention time in kinesiotherapeutic technique studies was of 37.6 weeks and 91.6 weeks in the studies of corrective brace. The progression improvement of the spine lateral inclination was reported by 83.3% (5 of 6) of the kinesiotherapeutic technique studies and in 66.6% (2 of 3) of studies with corrective brace. Conclusion: An improvement was found, in general, in the progression of spine lateral inclination in IS subjects of both sexes from 11 to 25 years of age undergoing non-invasive interventions.

scholarly journals Machine Vision System Measuring the Trajectory of Upper Limb Motion Applying the Matlab Software

2019 ◽  
Vol 19 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Piotr Kuryło ◽  
Elena Pivarčiová ◽  
Joanna Cyganiuk ◽  
Peter Frankovský
Keyword(s):  
Machine Vision ◽  
Upper Limb ◽  
Vision System ◽  
Electronic Records ◽  
Application System ◽  
Non Invasive ◽  
Invasive Method ◽  
Full Analysis ◽  
Method Of Measurement ◽  
Rehabilitation Exercises

Abstract This paper discusses the problem of possibilities for applying a machine vision in the measurement of the trajectory of the upper limb movement in rehabilitation exercises. The fundamental presumption of designed system was to get the image from the camera’s CCD processor, possibilities of measuring and its processing. As a result of the application system, it is possible to dynamically determine the radius between the shoulder and forearm, and also the angle between the shoulder and the chest of the man, as function of the limb motion. The created system gives the possibility to use a non-invasive method of measurement, allows visualization and full analysis of the rehabilitation progress and also allows keeping electronic records of patients.

Estimation of ACL Forces Utilizing a Novel Non-Invasive Methodology That Reproduces Knee Kinematics Between Sets of Knees

2003 ◽  
Author(s):  
Shon P. Darcy ◽  
Robert H. P. Kilger ◽  
Savio L.-Y. Woo ◽  
Richard E. Debski
Keyword(s):  
Degrees Of Freedom ◽  
Cruciate Ligament ◽  
Knee Kinematics ◽  
Acl Injuries ◽  
Non Invasive ◽  
Rehabilitation Protocols ◽  
Anterior Cruciate ◽  
6 Degrees Of Freedom ◽  
Rehabilitation Exercises

A non-invasive, non-contact methodology to estimate forces in the anterior cruciate ligament (ACL) in response to in vivo knee kinematics will allow surgical procedures and rehabilitation protocols for ACL injuries to be improved. During the last decade, intensive efforts have been made to quantify the forces in the ACL in vivo (Holden, 1994; Lundberg, 1997; Zacharias, 2001). With the use of these methods, valuable information on the forces experienced by the ACL has been obtained, however many of these methods were invasive, and involved direct contact with the ACL, which may affect the force measurements. It has been proposed at our research center that the forces in the ACL during activities of daily living and rehabilitation exercises can be estimated in a non-contact, non-invasive manner by reproducing in vivo kinematics in 6-degrees of freedom (DOF) on a cadaveric knee. Therefore, the specific aim of this study was to evaluate the feasibility of a non-invasive, non-contact methodology for estimating force in the ACL by reproducing average kinematics in 6-DOF degrees of freedom from one set of porcine knees (source) onto a separate set of porcine knees (target).

scholarly journals Ultrasound Sensors for Diaphragm Motion Tracking: An Application in Non-Invasive Respiratory Monitoring

2018 ◽  
Author(s):  
Amirhossein Shahshahani ◽  
Carl Laverdiere ◽  
Sharmistha Bhadra ◽  
Zeljko Zilic
Keyword(s):  
Motion Tracking ◽  
Detection System ◽  
Sensory System ◽  
Human Motion ◽  
Motion Artifacts ◽  
Diaphragm Wall ◽  
Pulsed Ultrasound ◽  
Ultrasound Waves ◽  
Non Invasive ◽  
Diaphragmatic Function

This paper introduces a novel respiratory detection system based on diaphragm wall motion tracking using an embedded ultrasound sensory system. We assess the utility and accuracy of this method in evaluating diaphragmatic function and its contribution to respiratory workload. The developed system is able to monitor the diaphragm wall activities when the sensor is placed in the zone of apposition (ZOA). This system allows the direct measurements with only one ultrasound PZT5 piezo transducer. The system both generates pulsed ultrasound waves at 2.2 MHz and amplifies reflected echoes. According to the diaphragmatic motions, the respiratory signals of the proposed system is insensitive to human motion artifacts. Promising results were obtained from six subjects on six different tests with an average sensitivity and specificity of 84% and 93% of respiration detection, respectively. Measurements are referenced to a SPR-BTA commercial spirometer. In this study, we also evaluated inertial and photoplethysmography (PPG) sensors as other conventional methods in this area.

scholarly journals Pathophysiological targets for non-pharmacological treatment of migraine

Cephalalgia ◽  
2016 ◽  
Vol 36 (12) ◽  
pp. 1103-1111 ◽  
Author(s):  
Gianluca Coppola ◽  
Cherubino Di Lorenzo ◽  
Mariano Serrao ◽  
Vincenzo Parisi ◽  
Jean Schoenen ◽  
...  
Keyword(s):  
Side Effects ◽  
Functional Anatomy ◽  
Treatment Strategies ◽  
Scientific Progress ◽  
Migraine Treatment ◽  
Disease Modifying Drugs ◽  
Anatomy And Physiology ◽  
Non Invasive ◽  
Years Lived With Disability ◽  
All Diseases

Background Migraine is the most prevalent neurological disorder worldwide and ranked sixth among all diseases in years lived with disability. Overall preventive anti-migraine therapies have an effect in one patient out of two at the most, many of them being endowed with disabling adverse effects. No new disease-modifying drugs have come into clinical practice since the application to migraine of topiramate and botulinum toxin, the latter for its chronic form. There is thus clearly a need for more effective treatments that are devoid of, or have acceptable side effects. In recent years, scientific progress in migraine research has led to substantial changes in our understanding of the pathophysiology of migraine and paved the way for novel non-drug pathophysiological-targeted treatment strategies. Overview Several such non-drug therapies have been tested in migraine, such as oxidative phosphorylation enhancers, diets and non-invasive central or peripheral neurostimulation. All of them are promising for preventive migraine treatment and are quasi-devoid of side effects. Their advantage is that they can in theory be selected for individual patients according to their pathophysiological profile and they can (and probably should) be combined with the classical pharmacological armamentarium. Conclusion We will review here how knowledge of the functional anatomy and physiology of migraine mechanisms holds the key for more specific and effective non-pharmacological treatments.

A New Scheme for Soft Tissue Artifact Compensation in Human Motion Analysis

2010 ◽  
Author(s):  
Bo Gao ◽  
Scott Banks ◽  
Nigel Zheng
Keyword(s):  
Soft Tissue ◽  
Motion Analysis ◽  
Normal Function ◽  
Human Motion ◽  
Human Motion Analysis ◽  
Relative Movement ◽  
Non Invasive ◽  
Pathological Conditions ◽  
Skin Marker ◽  
Soft Tissue Artifact

Skin marker-based stereophotogrammetry provides a non-invasive and radiation-free approach in human motion analysis. It has been widely used to study the normal function and pathological conditions of human musculoskeletal system. One major limitation of this technique is usually referred to as soft tissue artifact (STA), which is defined as the relative movement between skin markers and the underlying bone. Much effort has been devoted to developing techniques for STA compensation and better motion analysis accuracy. However, the problem has not yet been solved satisfactorily.

scholarly journals An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2653 ◽  
Author(s):  
William Taylor ◽  
Syed Aziz Shah ◽  
Kia Dashtipour ◽  
Adnan Zahid ◽  
Qammer H. Abbasi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Recognition System ◽  
Learning Model ◽  
Wearable Devices ◽  
Human Motion ◽  
Direct Care ◽  
Non Invasive ◽  
Human Motion Detection ◽  
Machine Learning Model

Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI) driven healthcare systems. Human motion can be used to provide remote healthcare solutions for vulnerable people by identifying particular movements such as falls, gait and breathing disorders. This can allow people to live more independent lifestyles and still have the safety of being monitored if more direct care is needed. At present wearable devices can provide real-time monitoring by deploying equipment on a person’s body. However, putting devices on a person’s body all the time makes it uncomfortable and the elderly tend to forget to wear them, in addition to the insecurity of being tracked all the time. This paper demonstrates how human motions can be detected in a quasi-real-time scenario using a non-invasive method. Patterns in the wireless signals present particular human body motions as each movement induces a unique change in the wireless medium. These changes can be used to identify particular body motions. This work produces a dataset that contains patterns of radio wave signals obtained using software-defined radios (SDRs) to establish if a subject is standing up or sitting down as a test case. The dataset was used to create a machine learning model, which was used in a developed application to provide a quasi-real-time classification of standing or sitting state. The machine-learning model was able to achieve 96.70% accuracy using the Random Forest algorithm using 10 fold cross-validation. A benchmark dataset of wearable devices was compared to the proposed dataset and results showed the proposed dataset to have similar accuracy of nearly 90%. The machine-learning models developed in this paper are tested for two activities but the developed system is designed and applicable for detecting and differentiating x number of activities.

Emerging Treatment Options for Migraine

2020 ◽  
Vol 49 (4) ◽  
pp. 226-235
Author(s):  
Yi Jing Zhao ◽  
Jonathan JY Ong ◽  
Peter J Goadsby
Keyword(s):  
Side Effects ◽  
Treatment Options ◽  
Preventive Treatment ◽  
Calcitonin Gene Related Peptide ◽  
Non Invasive ◽  
Related Peptide ◽  
Calcitonin Gene ◽  
The World ◽  
Integral Role ◽  
Years Lived With Disability

Migraine is one of top 5 medical conditions that contribute to Years Lived with Disability and affects approximately 1 billion people from around the world. To date, preventive treatment and acute therapies for migraine are limited, have undesirable side effects and are poorly tolerated in patients. In the last few decades, considerable advances in our understanding of migraine and its pathophysiology have paved the way for the development of targeted treatment options. Calcitonin gene-related peptide (CGRP) plays an integral role in the neurobiology of migraine, and new classes of drugs that target the CGRP pathway have included gepants and CGRP pathway monoclonal antibodies. Serotonin 5-HT1F receptor agonists—namely ditans—have also been developed to treat acute migraine. Lastly, non-invasive neuromodulation offers another treatment option for migraine patients who prefer treatments that have fewer side effects and are well tolerated. In this review, we discussed emerging treatment options for migraine that were made available in recent years. Ann Acad Med Singapore 2020;49:226–35 Key words: Calcitonin gene-related peptide monoclonal antibody, Gepants, Headache, Lasmiditan, Neuromodulation

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