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Sinopsis
Walking is the most fundamental activity that is associated with every human being and is most widely used for the purpose of traveling short distances. Free joint mobility and appropriate muscle force increases walking efficiency. This process of walking is known as gait. Every human being has a unique gait pattern. Hence by analyzing the gait behavior abnormalities associated with the gait can be identified. Also, by analyzing the temperature, blood pressure and pulse rate most of the diseases can be identified.So a health monitoring procedure is described that depict the complete health status of a person by analyzing both the physical body parameters i.e. temperature, blood pressure and pulse rate and some of the gait parameters viz. cadence, stride length and cycle time(gait cycle time) with the help of fuzzy logic. The proposed procedure with the help of FIS (fuzzy inference system) evaluates the input parameters and maps them into a output parameter that tells the normality and abnormality of the given parameter. And then the gait abnormalities are further determined by analyzing the energy expenditure of the person (patient).
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Reseña del editor
Walking is the most fundamental activity that is associated with every human being and is most widely used for the purpose of traveling short distances. Free joint mobility and appropriate muscle force increases walking efficiency. This process of walking is known as gait. Every human being has a unique gait pattern. Hence by analyzing the gait behavior abnormalities associated with the gait can be identified. Also, by analyzing the temperature, blood pressure and pulse rate most of the diseases can be identified.So a health monitoring procedure is described that depict the complete health status of a person by analyzing both the physical body parameters i.e. temperature, blood pressure and pulse rate and some of the gait parameters viz. cadence, stride length and cycle time(gait cycle time) with the help of fuzzy logic. The proposed procedure with the help of FIS (fuzzy inference system) evaluates the input parameters and maps them into a output parameter that tells the normality and abnormality of the given parameter. And then the gait abnormalities are further determined by analyzing the energy expenditure of the person (patient).
Biografía del autor
Ashutosh Kharb is working as an Assistant Professor in BMIET, sonipat, INDIA. He did his engineering in Instrumentation and Controls and Masters in Electronics and communication.He has published various research papers in national and international conferences and journals.
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Fuzzy Based Estimation of Health Using Gait & Physical Body Parameters
Publicado por
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847301772
ISBN 13: 9783847301776
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Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Walking is the most fundamental activity that is associated with every human being and is most widely used for the purpose of traveling short distances. Free joint mobility and appropriate muscle force increases walking efficiency. This process of walking is known as gait. Every human being has a unique gait pattern. Hence by analyzing the gait behavior abnormalities associated with the gait can be identified. Also, by analyzing the temperature, blood pressure and pulse rate most of the diseases can be identified.So a health monitoring procedure is described that depict the complete health status of a person by analyzing both the physical body parameters i.e. temperature, blood pressure and pulse rate and some of the gait parameters viz. cadence, stride length and cycle time(gait cycle time) with the help of fuzzy logic. The proposed procedure with the help of FIS (fuzzy inference system) evaluates the input parameters and maps them into a output parameter that tells the normality and abnormality of the given parameter. And then the gait abnormalities are further determined by analyzing the energy expenditure of the person (patient). 88 pp. Englisch. Nº de ref. del artículo: 9783847301776
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Fuzzy Based Estimation of Health Using Gait & Physical Body Parameters
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847301772
ISBN 13: 9783847301776
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kharb AshutoshAshutosh Kharb is working as an Assistant Professor in BMIET, sonipat, INDIA. He did his engineering in Instrumentation and Controls and Masters in Electronics and communication.He has published various research papers . Nº de ref. del artículo: 5508591
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Imagen del vendedor
Fuzzy Based Estimation of Health Using Gait & Physical Body Parameters
Publicado por
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847301772
ISBN 13: 9783847301776
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Walking is the most fundamental activity that is associated with every human being and is most widely used for the purpose of traveling short distances. Free joint mobility and appropriate muscle force increases walking efficiency. This process of walking is known as gait. Every human being has a unique gait pattern. Hence by analyzing the gait behavior abnormalities associated with the gait can be identified. Also, by analyzing the temperature, blood pressure and pulse rate most of the diseases can be identified.So a health monitoring procedure is described that depict the complete health status of a person by analyzing both the physical body parameters i.e. temperature, blood pressure and pulse rate and some of the gait parameters viz. cadence, stride length and cycle time(gait cycle time) with the help of fuzzy logic. The proposed procedure with the help of FIS (fuzzy inference system) evaluates the input parameters and maps them into a output parameter that tells the normality and abnormality of the given parameter. And then the gait abnormalities are further determined by analyzing the energy expenditure of the person (patient).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Nº de ref. del artículo: 9783847301776
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Fuzzy Based Estimation of Health Using Gait & Physical Body Parameters : Health Monitoring System
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847301772
ISBN 13: 9783847301776
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Walking is the most fundamental activity that is associated with every human being and is most widely used for the purpose of traveling short distances. Free joint mobility and appropriate muscle force increases walking efficiency. This process of walking is known as gait. Every human being has a unique gait pattern. Hence by analyzing the gait behavior abnormalities associated with the gait can be identified. Also, by analyzing the temperature, blood pressure and pulse rate most of the diseases can be identified.So a health monitoring procedure is described that depict the complete health status of a person by analyzing both the physical body parameters i.e. temperature, blood pressure and pulse rate and some of the gait parameters viz. cadence, stride length and cycle time(gait cycle time) with the help of fuzzy logic. The proposed procedure with the help of FIS (fuzzy inference system) evaluates the input parameters and maps them into a output parameter that tells the normality and abnormality of the given parameter. And then the gait abnormalities are further determined by analyzing the energy expenditure of the person (patient). Nº de ref. del artículo: 9783847301776
Comprar nuevo
EUR 49,00
Envío por EUR 60,75
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Cantidad disponible: 1 disponibles