scholarly journals GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4146 ◽  
Author(s):  
Roman Chereshnev ◽  
Attila Kertész-Farkas
Keyword(s):  
Experimental Tests ◽  
The Body ◽  
Thigh Muscle ◽  
Human Gait ◽  
Portable Devices ◽  
Mobile Platforms ◽  
Biologically Inspired ◽  
Non Invasive ◽  
Standing Up ◽  
Different Parts

Several studies have analyzed human gait data obtained from inertial gyroscope and accelerometer sensors mounted on different parts of the body. In this article, we take a step further in gait analysis and provide a methodology for predicting the movements of the legs, which can be applied in prosthesis to imitate the missing part of the leg in walking. In particular, we propose a method, called GaIn, to control non-invasive, robotic, prosthetic legs. GaIn can infer the movements of both missing shanks and feet for humans suffering from double trans-femoral amputation using biologically inspired recurrent neural networks. Predictions are performed for casual walking related activities such as walking, taking stairs, and running based on thigh movement. In our experimental tests, GaIn achieved a 4.55 prediction error for shank movements on average. However, a patient’s intention to stand up and sit down cannot be inferred from thigh movements. In fact, intention causes thigh movements while the shanks and feet remain roughly still. The GaIn system can be triggered by thigh muscle activities measured with electromyography (EMG) sensors to make robotic prosthetic legs perform standing up and sitting down actions. The GaIn system has low prediction latency and is fast and computationally inexpensive to be deployed on mobile platforms and portable devices.

scholarly journals GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering From Double Trans-Femoral Amputation

2018 ◽  
Author(s):  
Roman Chereshnev ◽  
Attila Kertész-Farkas
Keyword(s):  
Experimental Tests ◽  
The Body ◽  
Thigh Muscle ◽  
Human Gait ◽  
Portable Devices ◽  
Mobile Platforms ◽  
Biologically Inspired ◽  
Non Invasive ◽  
Standing Up ◽  
Different Parts

Several studies have analyzed human gait data obtained from inertial gyroscope and accelerometer sensors mounted on different parts of the body. In this article, we take a step further in gait analysis and provide a methodology for predicting the movements of the missing parts of the legs. In particular, we propose a method, called GaIn, to control non-invasive, robotic, prosthetic legs. GaIn can infer the movements of both missing shanks and feet for humans suffering from double trans-femoral amputation using biologically inspired recurrent neural networks. Predictions are performed for casual walking related activities such as walking, taking stairs, and running based on thigh movement. In our experimental tests, GaIn achieved a 4.55 degree prediction error for shank movements on average. However, a patient's intention to stand up and sit down cannot be inferred from thigh movements. In fact, intention causes thigh movements while the shanks and feet remain roughly still. The GaIn system can be triggered by thigh muscle activities measured with electromyography (EMG) sensors to make robotic prosthetic legs perform standing up and sitting down actions. The GaIn system has low prediction latency and is fast and computationally inexpensive to be deployed on mobile platforms and portable devices.

Measurement and Analysis of Human Lower Limbs Movement Parameters during Walking

2015 ◽  
Vol 220-221 ◽  
pp. 538-543 ◽  
Author(s):  
Sergei Zhigailov ◽  
Artem Kuznetcov ◽  
Victor Musalimov ◽  
Gennady Aryassov
Keyword(s):  
Human Motion ◽  
The Body ◽  
Lower Limbs ◽  
Human Gait ◽  
Inertial Measurement ◽  
Double Support ◽  
Motion Parameters ◽  
Using Data ◽  
Movement Parameters ◽  
Different Parts

It is necessary to analyze human gait for treatment and rehabilitation of human with musculoskeletal disorders of the locomotion apparatus (LA). The main goal of this work is evaluation of locomotion apparatus motion parameters captured by inertial measurement units (IMU) during walking. Motion Capture technology is process of getting practical results and data from IMU installed in different parts of human lower limbs. Synchronously, IMU send information about human movements to PC at the same moment of time. Such method gives an opportunity to follow parameters in some points of human leg in real time. The way of devices mounting and instruction for human under monitoring are based on related medical projects. Walking is selected for estimation of the musculoskeletal system as typical action. Experiment results got from several experiments were considered and analyzed.Basically, walking is described as a set of the system “human” discrete states. In the same time, the IMU sensors transmit motion parameters data continuously. It is proposed to present the man as a system with a control signal in the form of the double support period. The length will be measured using data from IMU. Double support period is chosen because its presence distinguishes walking from running.The most attention is given to getting the same practical results and data that can be obtained by placing the devices in different parts of the body. Moreover, a technique of using inertial measurement devices for measuring human motion to get some numerical results is shown. The use of this technique in practice demonstrated that it can be used to obtain an objective parameter describing the motion of the person. Continuation of this work is directed to create a complete model of the lower limbs motion for usage in practice [1].

Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools

2018 ◽  
pp. 144-149
Author(s):  
Ria Hayatun Nur ◽  
Indahwati A ◽  
Erfiani A
Keyword(s):  
Diabetes Mellitus ◽  
Linear Regression ◽  
Good Health ◽  
Cubic Spline ◽  
The Body ◽  
Spline Regression ◽  
Linear Quadratic ◽  
Important Thing ◽  
Non Invasive

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.

Updating long-held assumptions about fat stigma: For women, body shape plays a critical role

2020 ◽  
Author(s):  
Jaimie Krems ◽  
Steven L. Neuberg
Keyword(s):  
Body Shape ◽  
Critical Role ◽  
The Body ◽  
Theoretical Assumption ◽  
Obesity Stigma ◽  
Obese Female ◽  
Three Samples ◽  
Female Bodies ◽  
Different Parts ◽  
Fat Stigma

Heavier bodies—particularly female bodies—are stigmatized. Such fat stigma is pervasive, painful to experience, and may even facilitate weight gain, thereby perpetuating the obesity-stigma cycle. Leveraging research on functionally distinct forms of fat (deposited on different parts of the body), we propose that body shape plays an important but largely underappreciated role in fat stigma, above and beyond fat amount. Across three samples varying in participant ethnicity (White and Black Americans) and nation (U.S., India), patterns of fat stigma reveal that, as hypothesized, participants differently stigmatized equally-overweight or -obese female targets as a function of target shape, sometimes even more strongly stigmatizing targets with less rather than more body mass. Such findings suggest value in updating our understanding of fat stigma to include body shape and in querying a predominating, but often implicit, theoretical assumption that people simply view all fat as bad (and more fat as worse).

Study on Pramana Shareera in relation to Prakriti

2016 ◽  
Vol 2 (3) ◽  
Author(s):  
Rajendra Pai N. ◽  
U. Govindaraju
Keyword(s):  
Observational Study ◽  
Upper Limb ◽  
Lower Limb ◽  
Characteristic Property ◽  
The Body ◽  
Artificial Limbs ◽  
Body Parts ◽  
Unit Of Measurement ◽  
The Individual ◽  
Different Parts

Ayurveda in its principle has given importance to individualistic approach rather than generalize. Application of this examination can be clearly seem like even though two patients suffering from same disease, the treatment modality may change depending upon the results of Dashvidha Pariksha. Prakruti and Pramana both used in Dashvidha Pariksha. Both determine the health of the individual and Bala (strength) of Rogi (Patient). Ayurveda followed Swa-angula Pramana as the unit of measurement for measuring the different parts of the body which is prime step assessing patient before treatment. Sushruta and Charaka had stated different Angula Pramana of each Pratyanga (body parts). Specificity is the characteristic property of Swa-angula Pramana. This can be applicable in present era for example artificial limbs. A scientific research includes collection, compilation, analysis and lastly scrutiny of entire findings to arrive at a conclusion. Study of Pramana and its relation with Prakruti was conducted in 1000 volunteers using Prakruti Parkishan proforma with an objective of evaluation of Anguli Pramana in various Prakriti. It was observed co-relating Pramana in each Prakruti and Granthokta Pramana that there is no vast difference in measurement of head, upper limb and lower limb. The observational study shows closer relation of features with classical texts.

scholarly journals Sensors for the detection of ammonia as a potential biomarker for health screening

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter P. Ricci ◽  
Otto J. Gregory
Keyword(s):  
Vapor Phase ◽  
Detection System ◽  
Health Screening ◽  
The Body ◽  
Peptic Ulcers ◽  
Non Invasive ◽  
Sensing Platform ◽  
Potential Biomarker ◽  
Screening Protocol ◽  
H Pylori

AbstractThe presence of ammonia within the body has long been linked to complications stemming from the liver, kidneys, and stomach. These complications can be the result of serious conditions such as chronic kidney disease (CKD), peptic ulcers, and recently COVID-19. Limited liver and kidney function leads to increased blood urea nitrogen (BUN) within the body resulting in elevated levels of ammonia in the mouth, nose, and skin. Similarly, peptic ulcers, commonly from H. pylori, result in ammonia production from urea within the stomach. The presence of these biomarkers enables a potential screening protocol to be considered for frequent, non-invasive monitoring of these conditions. Unfortunately, detection of ammonia in these mediums is rather challenging due to relatively small concentrations and an abundance of interferents. Currently, there are no options available for non-invasive screening of these conditions continuously and in real-time. Here we demonstrate the selective detection of ammonia using a vapor phase thermodynamic sensing platform capable of being employed as part of a health screening protocol. The results show that our detection system has the remarkable ability to selectively detect trace levels of ammonia in the vapor phase using a single catalyst. Additionally, detection was demonstrated in the presence of interferents such as carbon dioxide (CO2) and acetone common in human breath. These results show that our thermodynamic sensors are well suited to selectively detect ammonia at levels that could potentially be useful for health screening applications.

Loading comparison of two structures in the moving tube of a non-invasive prosthesis

2021 ◽  
pp. 1-9
Author(s):  
Jie Zhang ◽  
Ping Ye ◽  
Lizheng Zhang ◽  
Hongliu Wu ◽  
Tianxi Chi ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Normal Growth ◽  
Limb Length Discrepancy ◽  
The Body ◽  
Lower Limbs ◽  
Lower Body ◽  
Element Analysis ◽  
Non Invasive ◽  
Testing Method ◽  
Finite Element Analysis Simulation

BACKGROUND: The treatment of adolescent patients with distal femoral cancer has always been a concern. The limb-salvage, regarded as a mainstream treatment, had been developed in recent years, but its application in children still remains challenging. This is because it can lead to potential limb-length discrepancy from the continued normal growth of the contralateral lower body. The extendable prosthesis could solve this problem. The principle is that it can artificially control the length of the prosthesis, making it consistent with the length of the side of the lower limbs. However, this prosthesis has some complications. The extendable prosthesis is classified into invasive and minimally invasive, which extends the prosthesis with each operation. OBJECTIVE: We designed a new non-invasive prosthesis that can be extended in the body. Based on the non-invasive and extendable characteristics, we need to verify the supporting performance of this prosthesis. METHODS: We carried out a mechanical testing method and finite element analysis simulation. CONCLUSION: The support performance and non-invasively extension of this prosthesis were verified.

Biologically inspired motion synthesis method of two-legged robot with compliant feet

Robotica ◽  
2011 ◽  
Vol 29 (7) ◽  
pp. 1049-1057 ◽  
Author(s):  
Teresa Zielinska ◽  
Andrzej Chmielniak
Keyword(s):  
Central Pattern Generator ◽  
Coupled Oscillators ◽  
Synthesis Method ◽  
Pattern Generator ◽  
Experimental Results ◽  
Human Gait ◽  
Legged Robot ◽  
Biologically Inspired ◽  
Reference Pattern ◽  
Periodic Signals

SUMMARYThis work presents biologically inspired method of gait generation. It uses the reference to the periodic signals generated by biological central pattern generator. The coupled oscillators with correction functions are used to produce leg joint trajectories. The human gait is the reference pattern. The features of generated gait are compared to the human walk. The spring-loaded foot design is presented together with experimental results.

Respiratory disease in foreign body aspiration in children

1927 ◽  
Vol 23 (11) ◽  
pp. 1145-1150
Author(s):  
G. M. Lopatin
Keyword(s):  
Foreign Body ◽  
Respiratory Tract ◽  
Respiratory Disease ◽  
Foreign Bodies ◽  
Foreign Body Aspiration ◽  
The Body ◽  
Different Parts

Aspiration of foreign bodies into the windpipe usually results in respiratory damage. This lesion may be of varying intensity and may be localized in different parts of the respiratory tract or lungs. Both the intensity and the localization of the lesion may depend on a number of reasons and above all on the location of the foreign body and its type, but also on the constitutional characteristics of the body and on many other causes. Aspirated foreign bodies are found in the trachea or larynx and almost as often in the bronchi.

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