Study on the postural rehabilitation devices used in the prevention of postural defects and the need to use a smart orthosis (original) (raw)
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Evaluation of scoliosis using baropodometer and artificial neural network
Research on Biomedical Engineering
Introduction: One of the most recurrent pathologies in the spine is scoliosis. It occurs in the frontal plane and is formed by one or more curves in the spinal column. The scoliosis causes global postural misalignment in an individual. One of the modifications produced by postural misalignment is the way in which an individual distributes weight to the feet. We aimed to implement an electronic system for separating patients with Degree I scoliosis (i.e., 1° to 19° scoliosis according to the Ricard classification) into two groups: C1 (1°-9°) and C2 (10°-9°). The highest percentage of patients with scoliosis is in this range: those who do not need to wear vests or undergo surgery and whose treatment is performed via special physical exercise and frequent evaluations by healthcare professionals. Methods: The electronic system consists of a baropodometer and artificial neural networks (ANNs). The classification of patients in the scoliosis groups was performed with MATLAB software and a Single Layer Perceptron network using the backpropagation training algorithm. Evaluations were performed on 63 volunteers. Results: The mean classification sensitivity was 93.7% in the C1 group and 94.5% in the C2 group. The classification accuracy was 83.3% in the C1 group and 96.0% in the C2 group. Conclusion: The implemented system can contribute to the treatment of patients with scoliosis grades ranging from 1° to 19°, which represents the highest incidence of this pathology, for which the monitoring of the clinical condition using noninvasive techniques is of fundamental importance.
Commercial Postural Devices: A Review
Sensors
Wearables are devices worn on the human body and are able to measure various health parameters, such as physical activity, energy expenditure and gait. With the advancement of technology, the general population are now spending more hours craning our necks and slouching over smartphones, tablets and computers, et cetera. Bodily posture is representative of physical and mental health. Poor posture can lead to spinal complications and the same can be said vice versa. As the standard of living increases, there is an increase in consumerism and the expectation to maintain such a lifestyle even in the aging population. Therefore, many are able to afford small luxuries in life, such as a piece of technology that could potentially improve their health in the long run. Wearable technology is a promising alternative to laboratory systems for movement and posture analysis. This article reviews commercial wearable devices with a focus on postural analysis. The clinical applicability of posture...
An Intelligent Active Brace System for the Treatment of Scoliosis
IEEE Transactions on Instrumentation and Measurement, 2004
Page 1. 1146 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 53, NO. 4, AUGUST 2004 An Intelligent Active Brace System for the Treatment of Scoliosis Edmond Lou, Member, IEEE, Suraj Venkateswaran ...
Sensors, 2016
This paper presents a mathematical model that can be used to virtually reconstruct the posture of the human spine. By using orientation angles from a wearable monitoring system based on inertial sensors, the model calculates and represents the curvature of the spine. Several hypotheses are taken into consideration to increase the model precision. An estimation of the postures that can be calculated is also presented. A non-invasive solution to identify the human back shape can help reducing the time needed for medical rehabilitation sessions. Moreover, it prevents future problems caused by poor posture.
A novel technique for analysis of postural information with wearable devices
2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2018
These days, as many jobs involve sitting behind desks and working with computers for extended periods, more and more people are suffering from back problems. Maintenance of an appropriate posture may prevent future back problems. There are various medical methods for studying postures abnormalities of the back but most of these methods are limited to be utilized in diagnostics and follow-up of treatment and not used in a continuous or in a preventive manner. Therefore, designing and developing methods for measuring, analyzing and reporting of posture information, aimed for prevention of future back problems is of fundamental interest. In this work, a proof-of-concept system, including five accelerometer sensor units is presented. Additionally, an index, which we call spine inclination index (SII), is introduced and used for converting the raw data to meaningful presentable information. Initial evaluation includes measurements with six subjects. Subjects were asked to mimic accentuated kyphotic, straight and accentuated lordotic postures while sitting. Our results show that the designed device and SII index are able to distinguish between different postures very well. In addition, since this device measures the inclination angle of different spinal postures, its output can be directly compared with other widely used methods.
A New Application of Robotic Devices for Correction of Spinal Disorders
2009
The production of corsets for the correction of spinal disorders recently is concerned with painful procedure of getting geometrical models and mostly handwork based manufacturing. The production and the product are not flexible at all. Our recent research and development works are directed to get 3D models by scanners. An 1D motion and 4 cameras and a 6D robotic motion and laser length measurement device systems were developed. Based on the 3D models after medical corrections the corsets are to be manufactured by modern CAD/CAM systems. Rapid prototyping, dieless sheet metal forming (DSF) and other methods are considered and promising. Extended research on materials, the usage of sensors, etc. are planned. The results are important from antropomorphing measurement aspect too.
IRJET, 2022
Lower spinal back pain problem treatments costs to billions of dollars every year. Low back pain is often caused by improper seating posture, which in turn affect the spinal muscles. Regularly switching shape and maintaining proper posture helps to improve and maintain a person's health and prevents muscular problems. By indulging into sedentary lifestyle and working long hours in front of technology, good body shape of people gets deteriorated and leads to abandoning of spine health. Proper posture plays an important role to lead a healthy lifestyle. Back pain is the one of the major reasons for people of young age group to seek medical help. The human ability to stay upright has been compromised over a past few years, and health is been overshadowed by improper routine. The purpose of this project is to identify and implement strategies that can be practically used to determine spinal posture alignment. The system identifies and records the user status and it as proper and improper. It also provides statistics to user about his/her posture and prevents user from improper alignment.
A Smart Spinal Orthopedic Bed for General Purpose Rehabilitation
2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME), 2019
Critical spinal cord injuries and paralyzation are amongst the leading medical concerns. Lack of movement associated with post-operative phases and paralization complicates the lives of patients from one side, and subject the nurses and families to an excessive load from the other side. Despite the presence of Stryker and one function orthopedic beds for rehabilitation purposes, they were either expensive or non-automated. Thereby, it was not prevailing to see these beds in hospitals and/or houses as assistive tools. The aim of our innovative and exploratory study is to design a smart orthopedic bed for patients, starting with children, in order to facilitate their movement while maintaining their posture. Rotation was considered laterally from one side to another while maintaining their body fixed. The smart bed was automatically controlled by sound recognition, and manually controlled through a touchscreen for safety. Simulation results showed the best fit and architecture of the building up parts of the smart bed. Experimental results revealed the compact design, the touchscreen with its facilities, and various immobility functions to provide feasibility while performing daily activities. The feasibility of triggering the smart system reduced the time deducted from nurses and family members. Statistical Evaluation showed that the smart design was 95% efficient in performing the movement as opposed to the Stryker (55%) and one function orthopedic beds (45%). The net cost of the system was low ($775) as opposed to alternatives ($1000-1300). The time of rotation of the smart bed was in seconds. As a future prospect more complicated movements could be considered to provide specific types of rehabilitation for the spinal cord.
A wearable computer for physiotherapeutic scoliosis treatment
IEEE Transactions on Instrumentation and Measurement, 2003
A posture monitoring system for the treatment of idiopathic scoliosis using electromagnetic and accelerometer technology is discussed. Distributed processors are used to allow parallel execution of data collection. The system is carried by the patient and provides feedback to allow correction of posture during daily activities.
Intelligent Composite Corset for Correction of Spinal Disorders
2018
Plastic corsets have been used for treatment of spinal disorders for decades. Corsets are made traditional polyethilene material in a practical way so the corset was big and heavy and interferences between the corset and the patient are not known exactly. Similarly, even the perfect tool can’t help in case one does not wear it. The paper is about the development of a composite material based corset equipped by an intelligent measurement and data collection system in this field. There is a battery powered equipment attached to corset. The intelligent instrument measures forces between patient and corset at selected points, detects corset’s position, measures temperature, and saves the collected data to the internal memory. The equipment can be connected to PCs, in order to download and analyse collected data: it checks wearing times, force change after several days, extreme forces in different life situations.