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AlMOMxck7aHnfWUg4ZuZXJRfnJ9WouCaklmSX6SQkqqQmlyamJyZn5darGCsZ8DAA1TmEqzgWlia WAIUZeAG8mEcPWOGL5abCvGnZkZ80gSADAOoHbPgkCKUfyJegsHmpjjEZEZGZi4uRqHmCAamNjsG oeYKBqYmDQamDmMgrUmBpYMIuDIUMpQyJAJL/kxg6ZMHrAf8oLwyokplBWDoIacnYuwElVW2lDkb BZBqP7XBULYfADvPPHiWDgAAAAADAAAAAAAAAAAAAAAAAAAAAAAAAAEAAABws5MOAAAAAAMAAAAA AAAAAAAAAAAAAAAAAAAAAQAAAICzkw4AAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAABAAAAkLOTDgAA AAADAAAAAAAAAAAAAAAAAAAAAAAAAAEAAACgs5MOAAAAAAMAAAAAAAAAAAAAAAAAAAAAAAAAAQAA ANCzkw4AAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAABAAAA4LOTDgAAAAADAAAAAAAAAAAAAAAAAAAA AAAAAAEAAADws5MOAAAAAAMAAAAAAAAAAAAAAAAAAAAAAAAAAQAAADC0kw4AAAAAAwAAAAAAAAAA AAAAAAAAAAAAAAABAAAAQLSTDgAAAAADAAAAAAAAAAAAAAAAAAAA Análisis cinético de indicadores difusos en tobillo y rodilla para clasificar la marcha hemipléjica espástica utilizando diagrama de flujo(Kinetic analysis of fuzzy indicators at ankle and knee to classify spastic hemiplegic up using flowchart)Ubaldo Rafael Padilla-Liendo 1 1 Departamento de Tecnología Industrial, Universidad Simón Bolívar, Estado Vargas, Venezuela.Recibido: 02 de Marzo de 2016. Aceptado: 04 de Julio de 2016. Publicado online: 3 de Septiembre de 2016. [TRABAJO ORIGINAL]Resumen (español)Esta investigación pretende modelar características difusas de indicadores cinéticos en tobillo y rodilla de pacientes hemipléjicos espásticos por parálisis cerebral. Estos indicadores son consistentes con los utilizados por los especialistas, en la interpretación clásica para clasificar la hemiplejia, propuesta por el Dr. Gage. Cumpliendo los protocolos del Hospital Ortopédico Infantil en Caracas, Venezuela, se procesan los registros de 178 pacientes hemipléjicos. A través de análisis de varianza (ANOVA) se determina cuales indicadores son apropiados para clasificar patrones. Se calcula la media, desviación estándar y umbral de separación en aquellos indicadores determinados. La función de membresía describe los rangos de pertenencia a grupos específicos. Basado en los parámetros calculados y la información obtenida, se construye un modelo difuso sobre un diagrama de flujo para discriminar entre los tipos hemipléjicos, comparable a la interpretación clásica. Se procesa el 75% de los registros y el 25% restante validan los resultados, según el grado de pertenencia y sensibilidad. Se obtiene una sensibilidad de 83,33% para el tipo 1; 75% para el tipo 2; 62,5% para el tipo 3 y 85,7% para el tipo 4. Los indicadores son descritos para todos los especialistas a través de un lenguaje médico apropiado.Palabras clave (español)Hemiplejía, espástica, clasificación, tobillos, rodilla, indicadores, cinéticos, difusos, membresía, patrones. Abstract (english)The goal of this research is to model diffuse kinetic characteristics of ankle and knee indicators of spastic hemiplegic patients by cerebral palsy. For those indicators consistent with those used by specialists, in the classical interpretation to classify hemiplegia, proposed by Dr. Gage. Complying with the Children's Orthopedic Hospital protocols in Caracas, Venezuela, records of 178 hemiplegic patients are processed. Through analysis of variance (ANOVA) which indicators are appropriate to classify patterns is determined. The mean, standard deviation and separation threshold in those specific indicators are calculated. The membership function describes the ranges belonging to specific groups. According to the calculated parameters and the information obtained, a diffuse pattern on a flowchart used to discriminate between types hemiplegic is constructed, as done in the classical interpretation. 75% of records are processed and remaining 25% validates the results, depending on the degree of membership and sensitivity. A sensitivity of 83.33% for type 1 is obtained; 75% for type 2; 62.5% for type 3 and 85.7% for type 4. The indicators are described for all specialists through an appropriate medical language.Keywords (english)Hemiplegic, spastic, classification, ankles, knee, indicators, kinematic, fuzzy, membership, patterns. Clasificación difusa de la marcha hemipléjica espática. Padilla-Liendo UR.Padilla-Liendo UR. Clasificación difusa de la marcha hemipléjica espática. 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Sede Litoral, Camurí Grande, Parroquia Naiguatá, Estado Vargas, Naiguatá-Vargas 1160, Venezuela. Teléfono: 04127605689. E-mail: ubaldorpl@usb.ve, ubaldorpl@gmail.com Introducción La Hemiplejia Espástica (HE) es una patología compleja en pediatría ortopédica, caracterizada por una alteración neuronal músculo esquelética en un lado del cuerpo. Gage (1991), describe la HE basada en el miembro inferior afectado (Ipsilateral), examinando las alteraciones de los registros normales cinemáticos en el plano sagital (1).Tradicionalmente los registros cinéticos, como momentos y potencia, no son utilizados para clasificar la HE, pero son necesarios en el estudio de rehabilitación clínica (2).Las desviaciones de las marchas observadas en niños con HE, requiere un sistema de clasificación que permita establecer patrones de marcha en grupos ampliamente diferenciados, para el diagnóstico, tratamiento y comunicación clínica. Se insiste en una adecuada validación clínica cuya muestra significativa depende de la profundidad de la investigación y el seguimiento de los pacientes en su rehabilitación (3).En casos clínicos donde el diagnóstico médico es complejo, se debe coordinar un modelo basado en la colaboración de un grupo de médicos, considerando el impacto dinámico del flujo de trabajo de los especialistas en la ejecución de un protocolo de diagnóstico. Se concluye que los rasgos más característicos en la toma de decisión de un grupo, es el apoyo cognitivo, estilo individual en la toma de decisión, soporte integral en la labor médica, toma de decisiones con criterio múltiple e interacción de la base de conocimiento (4).Toro et al 2003, evalúa cómo los médicos y fisioterapeutas emplean el uso de herramientas e instrumentos clínicos para valorar la marcha y si existe condiciones para proponer un método de estandarización. Concluye que la valoración de la marcha mediante técnicas observacionales es limitada y compromete su validez por su naturaleza subjetiva. Los médicos y fisioterapeutas manifestaron necesidad de capacitarse en avanzadas técnicas de evaluación de la marcha y requerir herramientas que puedan manejar cómodamente (5).El objetivo de esta investigación es extraer indicadores cinéticos en tobillo y rodilla apropiados para clasificar pacientes HE y modelarlos en forma difusa, en función de ese modelo proponer un algoritmo para clasificar pacientes HE con un lenguaje cómodo para los médicos traumatólogos y fisioterapeutas. Es necesario cumplir con los siguiente pasos: Generar patrones cinéticos en tobillos y rodilla para cada tipo de HE, proporcionar la media y desviación estándar separada por fases del ciclo de marcha en los patrones cinéticos hemipléjicos, evaluar la capacidad que tiene los rangos de momento y potencia articular en tobillo y rodilla para separar tipos HE, calcular el umbral de separación de los tipos HE, determinar los rangos difusos de los datos y obtener las funciones de membresía vinculada al tipo HE, validar la clasificación utilizando el 25% de los registros cinéticos y crear un modelo apropiado para clasificar utilizando diagrama de flujo.Un diagnóstico efectivo significa clasificar correctamente un paciente HE en uno de los cuatro patrones homogéneos propuesto por Gage (1991). Una clasificación correcta garantiza la adecuada evolución al tratamiento. El método de clasificación clásica compara las curvas cinemáticas del paciente con el patrón de marcha normal y los patrones HE. Este procedimiento introduce elevados niveles de error para clasificar correctamente, dado que depende de la experiencia y factores emocionales del especialista, la subjetividad y condiciones ambientales. Sin embargo, aún en condiciones ideales la característica difusa de los datos, apreciada por el solapamiento de los patrones, genera una incertidumbre adicional. 67Winters et al, 1987, obtuvo patrones homogéneos de la marcha de pacientes HE, analizando los registros cinemáticos del miembro afectado en el plano sagital y los datos electromiográficos. En tal sentido, el estudio se realizó con pacientes entre 3 y 30 años de edad, además se incluyó pacientes HE secuela de parálisis cerebral, accidente cerebro vascular y traumatismo cráneo encefálico. Esto diverge con las investigaciones en niños y adolescentes HE, secuela únicamente de parálisis cerebral (6).Se ha creado modelos difusos empleando registro cinemáticos para los mejores indicadores en rodilla y pelvis. Aun cuando el lenguaje especializado es apropiado, no plantea un algoritmo de clasificación (7, 8).La clasificación hemipléjica empleando el método tradicional, requiere evaluar la posibilidad de mover los pacientes de un grupo a otro, luego de ser sometido a una intervención quirúrgica. Un trabajo futuro abriría la posibilidad de clasificar pacientes HE, con un complemento robusto al incorporar la interpretación del experto en el análisis clínico de la marcha e integrando los patrones cinemáticos y cinéticos (9).El desarrollo de un prototipo de una única base de datos, implementada en Postgres, con todos los reportes integrados del laboratorio de marcha del Hospital Ortopédico Infantil, para evaluar las consultas difusas con datos reales. Aunque permite almacenar archivos con diversos formatos, su uso y lenguaje es difícil de entender por los especialistas (10, 11, 12). Empleando técnicas de construcción para un modelo de clasificación como: árboles de decisión de regresión logística, metaclasificadores y datos de estudios. Se ha obtenido un algoritmo de clasificación de HE basado en registros cinéticos que logra discriminar exitosamente entre los cuatro tipos de la patología. Sin embargo, el lenguaje empleado no es de fácil comprensión y manipulación para los especialistas (13).Las dificultades y restricciones que enfrentan los usuarios y especialistas en la toma de decisiones, para la interpretación y análisis de los registros del movimiento, son del tipo de razonamiento: inductivo, deductivo, creencias o conjeturas. La limitación que afrontan los usuarios es la dificultad para utilizar métodos de aproximación objetivas: modelos matemáticos, estadísticos, sistema experto y redes neurales (14).68Armand et al, 2007, propone un método que vincula el análisis de movimiento con los elementos de interpretación, mediante la técnica de inteligencia artificial para disminuir la subjetividad y proporcionar una herramienta útil para la interpretación. De manera que, la gran cantidad de datos que proporciona los dispositivos de captura de movimiento, hacen que la interpretación sea una tarea difícil para el razonamiento humano (15).La hipótesis planteada en esta investigación es: Existirá indicadores cinéticos en tobillo y rodilla capaces de clasificar pacientes HE, utilizando un lenguaje conocido y coherente con la naturaleza difusa de los datos cinéticos.La marcha normal aprovecha un mínimo gasto energético para desplazar hacia adelante el centro de masa, a través de movimientos alternantes y equilibrados de las extremidades, donde una de las características que la identifica es la conservación de la energía (16, 17). La articulación en tobillo y rodilla tiene porcentajes de tiempo que permite segmentar el ciclo de marcha. La cinética integra las fuerzas internas y externas como la fuerza de gravedad, la fuerza de reacción del suelo, la contracción muscular e inercia durante la fase de apoyo, específicamente entre contacto inicial y apoyo terminal (16, 17).El presente estudio además de validar los aportes existentes en la clasificación hemipléjica utilizando los registros cinéticos, pretende aportar el análisis de las ineludibles características difusas de los indicadores cinéticos obtenidos.Materiales y métodos Población. Los registros procesados en esta investigación son un conjunto de datos recopilados del laboratorio de marcha del Hospital Ortopédico Infantil, Caracas, Venezuela. En la investigación realizada la muestra estuvo conformada por 178 pacientes en edades entre 4 y 16 años, con diagnóstico de hemiplejia espástica secuela de parálisis cerebral infantil con evidente trastorno patológico de la marcha.Pruebas funcionales. Las pruebas fueron realizadas para la adquisición de los registros cinemáticos, cinético, electromiografía dinámica y consumo energético. Dichas pruebas consistieron en el recorrido del paciente a lo largo de una pista de marcha, con placas de fuerza para registrar los momentos y potencias; las cámaras infrarrojas detectan los marcadores lumínicos adheridos en los puntos óseos anatómicos más prominentes del paciente; la electromiografía dinámica registra la sumatoria de los potenciales de acción que viaja a lo largo de la membrana celular de los músculos esqueléticos, durante la marcha son capturados en la superficie de los principales grupos musculares de los miembros inferiores. 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Patrones e indicadores cinéticos de los momentos articulares en tobillo y rodilla.utilizando el sistema VICOM 370(Web Site Vicon, 2015) (18), obtenidos en el laboratorio de marcha del Hospital Ortopédico Infantil, Caracas, Venezuela. El protocolo Davis es utilizado como parámetro fundamental en la colocación de los marcadores ópticos en los puntos óseos anatómicos más prominentes de ambos miembros inferiores del paciente, para obtener el modelo biomecánico que describe la cinemática de la marcha (19, 20).Análisis estadísticos. Los registros en formato original GCD son convertido y procesados en Microsoft Office Excel 2010 y software MATLAB® 2010. Se aplica herramientas estadísticas a los registros agrupados por tipo de HE, para hallar la media y desviación estándar, para graficar los patrones de momentos y potencia articular en tobillo y rodilla. La figura 1 describe los patrones e indicadores de momentos articulares en tobillo y rodilla, obtenidos al procesar los registros. Esta investigación se enfocó específicamente en los registros de los momentos y potencias articulares en tobillo y rodilla, desglosados en cada una de las fases del ciclo de marcha. Sobre estos registros se aplicó la prueba Análisis de Varianza (ANOVA) para evaluar la capacidad de los momentos y potencias en determinadas fases del ciclo marcha, que permita clasificar grupos hemipléjicos. La prueba de ANOVA es una herramienta estadística utilizada para evaluar, bajo ciertas premisas, la capacidad de los indicadores para discriminar entre grupos hemipléjicos. Las pruebas de ANOVA sobre el ciclo completo de marcha, demostraron que las potencias articulares en tobillo y rodilla no son adecuados para clasificar, mientras que los momentos en contacto inicial y apoyo medio en tobillo, al igual que apoyo terminal en rodilla, son excelentes indicadores apropiados para clasificar grupos hemipléjicos. La figura 1 muestra encerrada en círculo los indicadores cinéticos de los momentos articulares de tobillo de izquierda a derecha, contacto inicial y apoyo medio; en momentos articulares de rodilla muestra encerrada en círculo el apoyo terminal. 69A cada uno de los indicadores cinéticos obtenidos empleando ANOVA, se le determina la media y la desviación estándar, luego se calcula el umbral de separación entre grupos HE mediante la técnica de Análisis Lineal Discriminante (ALD). Se aplica (ALD) para determinar el umbral de separación entre tipos HE (21). Esto contribuirá para determinar las funciones de membresías necesarias para describir la naturaleza difusa de los datos en la clasificación. Se establece un algoritmo de clasificación siguiendo el proceso de interpretación desde distal a proximal utilizado en la clasificación tradicional, pero basada en la característica difusa de las funciones de membresía de los indicadores cinéticos de tobillo y rodilla (22). iVBORw0KGgoAAAANSUhEUgAAAwkAAAGkCAIAAAD15P7CAAAAAXNSR0IArs4c6QAATulJREFUeF7t nWfXldWdh0GaIM2CiNiQphRBxWBs2AiaqDEzrjXlK8yXcNaa+Qjzbl7MmjWZZDLRqBkztmgQEwVF AUEQxIJ0pAlIFeYKO3PEp5xz93rdL846z3nue5drl/u3//u/9x567ty5IV4SkIAEJCABCUhAAucJ XCQHCUhAAhKQgAQkIIEOAbWRlUECEpCABCQgAQl8R0BtZG2QgAQkIAEJSEACaiPrgAQkIAEJSEAC EhiIgHYj64UEJCABCUhAAhLQbmQdkIAEJCABCUhAAtqNrAMSkIAEJCABCUigOwHn1KwhEpCABCQg AQlIwDk164AEJCABCUhAAhJwTs06IAEJSEACEpCABJxTsw5IQAISkIAEJCCBqAT0N4pKyvskIAEJ SEACEmgDAbVRG0rZPEpAAhKQgAQkEJXA0HPnzkW91/skIAEJSKC2BM6ePXvq1Ck+hw8fPmLEiKFD h9Y2KyZcAvkSUBvly9fQJSABCVSEwJEjR/bs2XPy5MmJEydOnjwZhVSRhJkMCVSNgHNqVSsR01MC AUbSJ06c+OabbxhVa0ktoQCMMn8CSKIdO3asXbv2gw8+2LZtG1U9/ziNQQJ1JaA2qmvJme4MCRw7 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Umbral entre dos grupos.Se procesa el 75% de los registros para diseñar y construir el modelo de algoritmo y se realizan pruebas para validación del modelo difuso con el 25% de los datos.Aspectos éticos. Esta investigación procesó únicamente los datos numéricos de los registros cinéticos etiquetado con un nombre alfanumérico, razón por la cual se desconoce la identidad de los pacientes. Aunque el autor requiere familiarizarse con los protocolos clínicos para la obtención de los registros, la valoración clínica es una actividad exclusiva, inherente e intransferible del fisioterapeuta y médico traumatólogo. Esto incluye: contacto directo con el paciente para la evaluación clínica en estático y dinámico, colocación de los sensores, y persuasión del paciente para que realice las actividades necesarias durante la adquisición de los registros, según su característica personal y emocional. En función de estas aseveraciones, esta investigación está dentro del marco filosófico de la disciplina del bien, relacionada con la moral, ética y valores humanos del bien común. ResultadosEl ALD requiere de la media y la desviación estándar de cada grupo. La Figura 2 ilustra dos grupos con media y desviación estándar, el grupo a la izquierda del umbral (c) tiene una media (H4sIAAAAAAAEC7t+9tgsBjBwYFJgYuQEMQviGBmADOaTQDYTgwxYlhVIcjKBmCAWEyMjlMXI9P// f7CYHqMEVIwbro4HaKYDkxBQXI2Nn0GKAaj2PwODAJB/AMhaBuIB1R4DGsYNVcPD4JtYkhFSWZDK wBAAtvs3kwJQDwhMANvKwsQgEJKZm1qs4JdarhCUn5uYx/Bi48fyj0Cs4PC5fJlgWhwLULUu0FQO IG3E9YAxC6zTsRLkl99MDf+AFBCQah4jA8jcD3BzGxitGEDhkFvJBSRBPuQC+xAkxgB1uwADO5i3 BxwmjExMSsGVxSWpuQxxIHcyAHUoMnRBNADVbfksDLYD5HaIXYwMzGD9AICuHFaoAQAA ) y el de la derecha (H4sIAAAAAAAEC7t+9tgsBjBwYFJgYuQEMQviGBmADOaTQDYTgwxYlhVIcjKBmCAWEyMjlMXI9P// f7CYHqMEVIwbro4HaKYDkxBQXI2Nn0GKAaj2PwODAJB/AMhaBuIB1R4DGsYNVcPD4JtYkhFSWZDK wBAAtvs3kwJQDwhMANvKwsQgEJKZm1qs4JdarhCUn5uYx/Bi48fyj0Cs4PC5/JFgWh8LULUu0FQO IG3E9YAxHqzTqRLkl99MDf+AFBCQah4jA8jcD3BzGxitGEDhkFvJBSRBPuQC+xAkxgB1uwADO5i3 BxwmjExMSsGVxSWpuQx9IHcyAHUoMnRBNADVbfksDLYD5HaIXYwMzGD9AMvnb+CoAQAA ).El umbral (H4sIAAAAAAAECyVPP0vDcBB9d622TQqGQqF0Cg7ZKip+DR1s55JQAnWIFlIo2Tq5Cc5+Cj+Ag5Ob s2s/QveA6bvLD+7u3Xv37/f3+/MBf7GkogOD86WAoPNGrBi7ekY/UINdmorAGNGmaZy5kokzNyrk TQu92tBQU4llRJScX2AK9jRAxPybKGE80F7ZGDJazRD32Xa9qDY5cO0X1Lr/p8j3zt28QhEtnoq8 jB/yXfz4UmTPwKfdNqPcZ7wNIHew2hUCepsb+G7j2v21Ruh59uXXiurlvCq3edH+c8ZdNvPIlo7X nQAxTNVWMAEAAA== ) se calcula usando las siguientes expresiones:H4sIAAAAAAAEC5VRMUjDUBC9uyRq06rBLiIZvg5udXB0qu6K2C6CIFUiCsYKLYRsf3Zyrm6CswVH B6duzq6OjoaOBePdNe0gOPjDv//u/t17ufvvb4Me6LKeISwJfDpEYOB4CEAQ6q3HtkQCBRHylSKk PM8VbeByEStP8ypkyHpLHF+fWYQV4NwcIGD/ldEj7zrTDZisXORUYLfVPW+m1xHAvmqPyHCNrFtV dQmC5kUcdcxelJiDdty6gs9+lmS8TX2YzC+chS5n15h1js9N/wP7rvzvTjrxj5RpO5XeRmS/+eD1 X34E0fma6ljsOaITFzoWt2Ds/9bhJOIvaKTxSfsS4M73j++z6p99jHWw6MfiKQnvQ+qzlcn6OlmJ QTGzAGbVe9G3QKK1RtrpRjGEMh/gilW40QIxz8Oq9lLjuUx6crT+Bygyqh8gAgAA ((1)H4sIAAAAAAAEC5VSv0vDQBh9d/2dpDVYBBGHqCCIVFBcCyqKkyJt/4EqEQVjhRZKFumsi7M4OHUv OIlCpzo5uzo6NnQsNH7fNY1EcPDC3b33/Xp39+XjvXeP8chZEhmG6yXBILYnAIl55U3QmpEMGUlB LoWE9H1foTUxG9j0MM6QVDM3Tfbl5BTmQLE+YBLvEmrT7GaBHhXTgxgDB9XGWcW9soEjpT2UFuXw uFOqcQmzcu7YdevQblqlmlO9xFfHa3o0ra1Bcyl7ijhFF6hqmvYN7VOsZPm8O+6Ez2hR/pxkvh36 H2NjzncfytaINhr/1RfqHH0qNdZtiVGa6zqBTktcyyjfBPMT97cuGSV9Ztl1jmsXQCenvT54+T/v zffv02tNdC2D6+6GurrOvBDytxTzYsjbiWj8bZz5aujfV50ouhpZubOa6izHIOiZiZRiL+pfEFIu lt16w3YA7g8oYwE3KoGXp0E+6NnPm8VU/jdAsaZ6oAIAAA== ((2)H4sIAAAAAAAEC5VTOUgDURCdP7uaZFcxh4iIxXogikTEQlAQolgJCh6VnUJEwfUgQtguCGms0gmC kt7KxkrQSghobZtGsbCIWIgHxpnZ7+JZOGF/3pud+fNmMrm6PN8DsbKdMyHCcHNaMTAOFR3QKm9r 6IwgQ0ao6JUghdVqVVCfatY+O4irw5xZtuPk76ptgBag2CpAlPgZoWN6ijbAoAlAXxJTB5MLW8tz 3kYaoAJh8j7TbZzBRoGQpNKsoREn4NRglMAm9BH7rsMfPh81Ygp3dVwKt23u5wUd0sFWkE5MhOjc ipvOOFPprDOz7i6swe3RffaeHif1kH2qX8r7tZVoGrB6zJEIz2DMY43Mh2qZj2peUefWV94R/sof zc/5YEyKklHP15d7o8vI/qsPZUYVusvXRfkhruNqXQVVNnz+Sx3kOcx67uL6KsB+3OqPPif+nAPP o6JQ1ykZjvSX0XVKRqyG63zwgjqQeWV+9EdBSJ+g7k3Muvi77vf+Skan9Ncb9Ncrda4Cfic6kpoX cR5Z10jAh4H5uGfRyVtqyZayD2T3XzAKIWEnstcKsX3Wy2ylXcjzXgBltMGOJPDR/ZrQe6r0b4H0 L2J7B2i3vfJsAwAA ((3)H4sIAAAAAAAEC5WUTWgTQRSA37zZtM1ma9JkKSIeogelSAV78CAKadVLwR5sEEQQK6QodK2QQliE NghePOUgCF4axKMHldJLBXsqbEHw1qv0JJ4SCwpWjO+9mV2zxR6cZYf3vfdm3s/O7M7HrRcgo+03 HciyeG5GsaBPI01wXKwZmrPEACyhUlZS2Ov1RHdWHbW6XOLnYdNp+0XSnxrIwzEg3x5AgXiTpHV6 7/gA5x2AnPXx4Nrc0r1q+LAG0IEh0v6k3XgFD3KEcQrNOfhYweeapRJJjUyse5mNdY9zRjcNy57R jaKRfJyGVyOxzki83w3rV8FJn+vexzLly6MlFTsIher9oFYvz9Qa5euLwdwD+PK22+jSW67sNZaH 57dNjkpyn3DHnF8j3KupkGth/nGEedJyRz0ppXm3kOb14fT6LbffXsQN4Xh/0DcH++1jzobTz0V8 I/zX/7JUNhWaepu/KTka/1svyrfp0F6mzpbazHPcwNbZUque4X/EQe7rbBjcXVwA+JZ3Vy52S4f2 lfvbUWjjRPqz9Ktu40T6k/Qr5pa6XeS4MUd6NdvP71SaI/1Mp+0xH8ybNkV6kry/e+6jw/M+2J9I 70p/ziT9+SrnZCfh13JOxi238UOO84rtbZwfYr6U2K8OMF9JeC2T9r+Faf8LYPxdWsW305XbyTqQ O7+PBRgUei/3WSGenA3rS7UAtvmcA604AU9lAU/VvZK9n8qeBaS/B48/NtUfAmQEAAA= ((4)H4sIAAAAAAAEC5VTMUgjURCdP7u5JJtdLl6CHGIRLQQRBYNecXgQbQThUpwBa5WIgntREghbGNJq FdsrjrRXWFxjo4WVkELB4rBNeWWih4UhxpnZn5DcaXGz7Oe9+fP/vJmdvb26/AZidadsQpjh/ppi YJwpWmBUdgO0hpEhI1S0JUhhp9MRNKPea1+kF2dj2aw778g/8eYtjADFdgCixC8IndJbdQA+mAAR HWPD5/XCdsbbywI0IETeR7qNT7BRIExTatYQxxW4CTCK4TD6iH1/rK7PR3FM4Q8dl8Jjh+tpYYJ0 sFWkEhMhmtlxs/lEOltMfMm561/h989msUlvInVffLC3Sn5uJZqS1qSZjnAPljzWyHwlxHxR84b6 ZQ/ypDXIQ8H+82B8N/x9X1/5iS4j+199KD1qUFW+rooaCvO9rtZVUXeBfl7FAxzkc8B803tBB3Kf Vj13I7cLUHKs64Vm7NU+cb8aCrWOmjEr9ee1jpoxLvV3eUWdSD/z/+Sla5CeXt62bSVfz/t3/TVj Xuqf6tX/UfLc9nhbdExrXsVDk+vvxldxWSbkk2eRl6fYkinmGJB/o4VRCAo7l7lXiOOrXr6QdaHE cwN0YgyO5AAvmfuYnmOlvxXSX8b2DOMRNl2MAwAA ((5)H4sIAAAAAAAEC5VTPUhbURQ+97wXk7wk+mqkFOmQdiiUEgcRt5bYRQjYoYqDm5WUFny1ECG8QXk4 iVPATURTx24ttlNQJyFD6eim4KIIQoKD2EDTc869L02kDj2Pd/m+83Pvd8+99+jH4QaIBW5gQ5zh vbxiYF0qGuChRCM0xpEhI1QUEqSw1WoJGlIPjC/RzktiYAduP/mf9PTBIFBuC8AlfkDoO/05IqM2 QMLkJGFidvHdlP+xAFCHGHl/0WyUJEaJkKWlWcMA5nAnwihNaCWqfXlYjmnffdRoAPPwKRX6NOLa aZOXwxcu77GJGdLGVpbd2Qju1HuvUMy8KpQyrxe82Q9w/qVRatCfyV2VSqm3N1qPEp3DzlO7meK+ vPRZN/Nrh/mY4XW10tfNT5Ld/Fu8u/6wpzPej1Xh4fxgrVs6X+sPftNiZP+rH4H3Uadda91ltZfg eT2ju6y2Y528gkvYzUeA+Zz/Dx3IfZz0vTcL8wDzvU51s5G+s49aBxodNetY+lM0OmrWT+lPyMtq ppfXDXnN2op08q9q2/DbuqgI6Wvrukg6a3frut2fmnUq/XnW7s+ZnPtRm3+Wc88aXsH9KOsK4xVc tZn/jY/LjXvuO+Tll+LIS+EckPfXRBeiwqrythTi40m/uFjw4IbvIVDFI1iTAh52r9JyplmaN+yp JfV/ACngYD7wAwAA ((6)Dónde:H4sIAAAAAAAEC41QPUsDQRCdmcSPXA48tBGxWC3sYiHYpNIfEBFNYSWkONHiVEjguO5qq9T+AHvB 0uKqdNa2VsEyIWgT8HwzrGebgZ19O/vmzcf72+iRzApxwg2Fk0smgNoXsNC2/S7BN0ShImH2iKUs S4vt86aPNSteCM1C1hHfW16jLQK3JIrwLoCecHJwRxBrek5Ind7gupvdx0SnVnsu+Q8+YUMtSnWh qHuTxH13Eqfu7C7p3dLn8zSd4rijWfodXo3r4LXAXsV9EOR8KJraznSWuTj0oDa0KRbXY1LdSaX7 wRemcOx1//vUaovrgmu6XPXbJlVIsgBeNxfY5jRGficRrdjr1XbNIrvnWX8QJzTW+QkZO/RgCepe ZhtWo4V+/2aoWf4vlmwlYAACAAA= Media del grupo tipo AH4sIAAAAAAAEC7t+9tgsBjBYwKTAxMwJYk6KY2QAMpi/AtlMDDJgWVYgyckEYoJYTIyMUBYj0/// /8FieowSUDFuuDoeoJkLmISA4mps/AxSDEC1/xkYBID8A0DWMiBOAKo9BjSMG6qGh8E3sSQjpLIg lYEhAGz3b6aGf0BJIJgAspSBhYlBICQzN7VYwS+1XCEoPzcxj+HFxo/lH4FYweFzeRJP2mYWoDpd oGoOIG3E1cAowwTSalUJ8stvJgWgG0BgAtgXxJvHyAAy9wPc3AeM9mATHKHmItwJVMIEMje4Mjcp P4eBoZKb686cj8I43QkxlxHhXgaQe4sruYAkKOS4wCEHEmOAhokAAzuYtwcc1oxMTErBlcUlqbkM m0H+ZwDqUGToAmsAEVs+C4Pdrgt0L8wPzGD9ADZJuCoAAgAA Desviación Estándar del tipo AH4sIAAAAAAAEC41QK0wDQRCdmZZPr5dwAUMIYkHgikBWEYItIfQ0ScUREAckbXI5V42qRqHqSS0C VYdCYE8iaRpUE443k+WwnWRn386+efP5eJs+klkhTqSh8P2SCaD2DSy0a78r8A1RqEiYPWIpy9Ji h7ztY82KF0KzkE3ED1Y3aIfALYkivF+BxjhP4E4h1vSckDq9wXWc3ydE51Z7IcMffMJGWpTqQlF8 kyZ9d5Zk7uIu7d3S5/Msm+G443k2Dq8mdfBaYK/jPgqGfCqa2s51loU49KA2simW12NS3a9Kt+Cu KZx43f8+tdryuuCaLlf9tkkV0jyA180FtjmNkd9JRGv2erFds8h+N+8PkpQmOj8hY48eLEFdPN+y Gi30+zdDzfJ/AR6/yAkAAgAA Media del grupo tipo BH4sIAAAAAAAEC41QPUsDQRB9O4kfuQQ9TCOSYlVIFwvBRlKIvSLmaiHCGYWcES5wXHe1VWp/gL29 xVXprG0tLXMEq4DnzHieleDA7r6dffP2zby+TB+gkZIlUxM4uzBgUPlgTGjp6xLvNRIoiIwpkKE8 zzW3ZzaLXL3kNVgzpQ3Ot5fXsQXm5oDL95TRI6+EuVMWqxecBk7642svvvOBM/17QcknP3JM5FNU Ca53E/ihPfUjez4K+rd4f8qijJc9mke77tWgyrwOs1f53HcSc0BSehhLLwuy7EFiol38X89AdGel 7pvpqsJxofvrkykkur04uBwNgeGa0+5mzT99fuua0m8L4jeMHd5lco5OTnIoZuJiRW/POmtDtNOL w7EfYCD9gyu2ca8FsnnzpnrvsN+fHipa/wVcX5hKAAIAAA== Desviación Estándar del tipo BPara calcular el umbral de separación entre tipos hemipléjicos adyacentes, se requiere extraer la desviación estándar y la media de los indicador Contacto Inicial (CI) y Apoyo Medio (AM) en tobillo, y Apoyo Terminal (AT) en rodilla. Función de membresía. La función de membresía cuantifica una entrada en un grado de verdad. La forma básica de una función de pertenencia trapezoidal tiene unidad a la izquierda (23). La función de membresía se ejecuta en el rango lineal de valores de entrada utilizando, para el caso de la trapezoidal, las siguientes expresiones:H4sIAAAAAAAEC41QIU/DUBD+7joY65bQMEMI4oEgIEDwC3CbgRCopxNdQBSWbEl5jiBRSMK/wCNQ dWiCRyBZJkkod7eyTHLJe/3u3nff17u31+IRFkkApobCwRlBQPAumLFurwtyN1ihIiaqEHFZllbb o9Wq1pzxWgxOghWpby0uYw3CLYFI8hdBhRwXAIWINStOC4e90XnsBylwbN7ffPMjjxL3aooaI4ov snTojtLcnVxlvUt8Po3zsRx3MMld1O/UhLcr7CX57ocJPbC27vi/vGv/v+11tnl9Zf1fn6A+X3M+ H6Z7PfO5hSr2fSi3biC0DWgN1WwR6pY9286IefPUD0dpho7OAenYwN20QXjxpG2eOtvUmyALlPgF AQ1AL8gBAAA= 1H4sIAAAAAAAEC7t+9tgsBjBYwMrAxMgJYm6IZGQAMph5GRkYmBhkwLKsQJKTCcQEsZgYgVJgFiPT ////wSw9RgmoGDdcHQ8TA9MCViGguBobP4MUA1DtfwYGASD/AJB1DIgTgMYdAxrGDVXDw+CbWJIR UlmQysAQALb7N1PDP6AkEEwAWcrAwsQgEJKZm1qs4JdarhCUn5uYx/Bi48fyj0Cs4PC5/Bd3WhUL UJ0uUDUHkDbiSmC8xQLSqlkJ41uA+YZw/g1mkLxGJcivyPaBRIm3j5EBZO8HJHtVweZWwO2JYACZ GIFhD1AQGFIMAsGVuUn5OUAzWLjs53wUxukviD2McP/dAceHTSUX0CBQSHOBQxpkFwM0DAUY2MG8 PeC4YWRiUgquLC5JzWWoAoUXA1CHIkMXWAOI2PJZGOwXXaC5MD8xg/UDAJ4XjwAwAgAA (7)H4sIAAAAAAAEC41UzUtUURQ/99w36rxnNDgtJAKnAnHAUXSv+QdkYApaO4ORJCeDGZjeTlqGC1tF Hwsh2rWoR8sENyUTCe5cuRJKaJGTUmLgeM659z19E698j3ff+d17zu+er3s31z89B/N4Cw6kWXwy pljQ95AGuCSrKRrThAFYQqWspLDRaMhcn+q0c16k147E6XXQfHfLebgIpNsAyBBeJWmFvlUXYMgB 8KxOO4xOV+5O+A+KALuy9x9MHW3TKsASb4r0Zsb90p35OYDvjju0+CMLO+/q1Tp9uZG96hdvppcI oUDabfQfdN+qimbTHp9j+Rff5w53KplPAfPunuLdamPe/H95yc/hZF6wvMr6u6Y38Mz+3krmbfZ3 TT9KG385L4dUpQz9+QnzxbW9gCO4gixlSdpPm5wtHLFeQg2uvawn1QCbYsvrqy778Ns3tXmBcdzl GHxg118rg39ZnNf9wPbfIvs47nIM3onsDf5qcU13trB9weJAlVOn8TK+kt4u2JrG4gaHem9itlQs 524Uq7mb86Xp+wm9F+YebU1r+qftFRN3TY8JHoj8qreyHz0RnhS/8hF+6vD6YITPCQ71AzUa4w/U G+EL+QN1Pca/jB8ljwN/xcm7nD3O5vrW9LDs8zDy87acvRAH6pnk/wS7EseUTxeB3BKu3BLsBdjz n4FWQR/kXlGIV8b9cqVYgl4+6wAuXIbHYsDD+72s7eeTGmixPwYO4Lpu7AQAAA== H4sIAAAAAAAEC41RPUsDQRB9u/m8S8Dj0ohYRAvRIkIC2pjCH6AiJoKdRjhR8IyQQHJd6lSCkEL8 EwGxskiVTrDSyt7SkDKQc2aSLCoILuzdvJk3++bj7bl/Bzk9C1pZbL4cKpAR2VCAxqJEY/S1NJts aUUhsZQOw1CsdTU/9aUML62he5ZL/pX4HBZA3BBwCPfI6tNtkVCfHktNOWnsVurn5eDaA/ZFe6Rb YwrSuWFRRDWc8oXv1bJ7XiN7UPUrV/joDhoDutntYWPTPetEiZcjdpL+BftEjZKcuhbM8JbggsHd BMdXDaYGf/CPpd+8iYeY8Hk23+tj7//rU+A6PylpVtc4zi80jU4+yvjI4B3RbQa/dYlEk4ZTCvzT 6iXw6tq394PMn3OZ6Cqj+xhjnaLReZf+i4FNXt6cLZtjDqY7cZAQ9CS7Vlovl4Ja3fPR4fmDMpbQ lgT+PAwz0muO5jjrOSL5X7OZ3SiAAgAA (8)0H4sIAAAAAAAEC7t+9tgsBjB4wMrAxMgJYn6IZGQAMph5GRkYmBhkwLKsQJKTCcQEsZgYgVJgFiPT ////wSw9RgmoGDdcHQ8TA9MDViGguBobP4MUA1DtfwYGASD/AJB1DIgXAI07BjSMG6qGh8E3sSQj pLIglYEhAGz3b6aGf0BJIJgAspSBhYlBICQzN7VYwS+1XCEoPzcxj+HFxo/lH4FYweFz+W7utIMs QHW6QNUcQNqIK4FRgxWkVbMSxs9gAfGN4Px7zCC+RiXIr8j2gUSJt4+RAWTvB6AmmD3aYHMr4PZE MIBMjMCwBygIDCkGgeDK3KT8HAYGDx6uHXM+CuP0F8QeRrg9j8HxYVfJBTQIFNJc4JAG2cUADUMB BnYwbw84bhiZmJSCK4tLUnMZDoLCiwGoQ5GhC6wBRGz5LAz2iy7QXJifmMH6AXmz8+gwAgAA (9)70Otra función de pertenencia es la forma básica es triangular. Las funciones de membresía triangular requieren un conjunto más amplio de valores de entradas, las expresiones para construirlas son:H4sIAAAAAAAEC7t+9tgsBjBIYGZgYuQEMQviGRmADOabQDYTgwxYlhVIcjKBmCAWEyMjlMXI9P// f7CYHqMEVIwbro6HiYEpgVkIKK7Gxs8gxQBU+5+BQQDIPwBknQFiBWYGhjNAw7ihangYfBNLMkIq C1IZGALAdv9mavgHlASCPWBzWZgYBEIyc1OLFfxSyxWC8nMT8xhebPxY/hGIFRw+lxfypCmzAFXr Ak3lANJGXAmMc5lA7tWshPGdwO7XqAT5DWH+BLAo8eYzMoDs+YBkzxOwCRVwe5oYQPamVXIBSVAI cIFDACTGAPWbAAM7mAfxGyMTk1JwZXFJai6DMsgfDEAdigxdEA1AdVs+C4PtBPkNYjcjAzAAgQAA 7rXWD8gBAAA= 0H4sIAAAAAAAEC7t+9tgsBjBYwMrAxMgJYm6IZGQAMph5GRkYmBhkwLKsQJKTCcQEsZgYgVJgFiPT ////wSw9RgmoGDdcHQ8TA9MCViGguBobP4MUA1DtfwYGASD/AJB1DIgTgMYdAxrGDVXDw+CbWJIR UlmQysAQALb7N1PDP6AkEEwAWcrAwsQgEJKZm1qs4JdarhCUn5uYx/Bi48fyj0Cs4PC5/LpA2gwW oDpdoGoOIG3ElcB4iwWkVbMSxrcA8w3h/BvMIHmNSpBfke0DiRJvHyMDyN4PSPaqgs2tgNsTwQAy MQLDHqAgMKQYBIIrc5PycxgYTgpyic/5KIzTXxB7GOH+uwOOD5tKLqBBoJDmAoc0yC4GaBgKMLCD eXvAccPIxKQUXFlckprLMAMUXgxAHYoMXWANIGLLZ2GwX3SB5sL8xAzWDwAFrtecMAIAAA== (10)H4sIAAAAAAAEC42UPWgUQRSA38zsJbm9nxy5ICIWq4XkilNypSgRuxSx8K4Q/2KEEw+8nJLAZQvB TggWNjbaCGIjNtanYZsTFBRZhDQKguBlG8kSUDGQ9b2Z2c3uyZLssrPvm3l/M29m1j+8fQzysYqO AVkS/QYjQfQ4NnBYjmawzSIDkMQZ0xLjQRDIvuPsoO7LRXp57hhWcQL7j42MwyFA3QCghOyg9Aa/ bwWAuwZATuvkYW5h+WbDvt3EDkaxt3lm5zv+AR5SUI5vqW63r3duAZyeMC8/+FmGjVd+18fPOrPV vVS4sYYOoYraY/ivmZ+YnyHTKXsvfy+K5pd0fwzI72bM78Uc+a3s6RfzvJLuF7RfpvMdiLn95/s1 3e9wvgMR6HxpXf5ilUr4pydcL6rtJL/GT2ZIKqN0J6/W7N4O6aXU4OopP60GfGhuLVEv0Jr9tlVt nvAkzxuK/+jx50zxL80tcQLIfhDZJ3neULwR2Sv+oXlWPM3H4/d4kmcMxWH8PlMcxp8VL3k8fo8n ecZQHMbvM8VhfE88GiP7qs7HZZujcXa4ZST5mTxrVb3HEnUAA89Co9VuLlnnml3rfKe9sJhyFsK9 wPUe80Qnthdqpic+mhR3WufliUXJUxF/lnlWIp6UXIt4dYTsQ32XvZf2ob7LKgn/LnuXjes7/KyI x3d4X9Z5+r95k9b+5z28/zzRk3FXorzX5VkL2WUHEuMuuy/ndcE2MS7dYqa8xSgLkHfjNi/BqKTX 8t5jnB+t20vLzTas0V0EaHEEVqUBNY2tsj5vuzUR0v4f86qXdowFAAA= (11)H4sIAAAAAAAEC41Uz2sTQRR+82bTNpOKq/EgKnRVLM0hLabnYv0DFLQ5iLcqkRaNLbSQ7i23gi3i WXsord7tqjcLXrQEETxZvIggaA+CDQUVha7vvZ3dJpHV7rKz75v33jfvx8xsvnl1H+TxcnUHsiyu XVIs6JtIA5wQbYbGLGEAllApKykMw1DmBtVRO5dL7Hqx7ni5wzTf33UQjgHZhgAu4RckrdP30QCM OAA5a9MLF8ZnJ8r+dAVgW9b+jZndT6QFuMeLIr3umF+9NnUL4MMhs7L4LQ9ba81akz5vdKf2zL0x T4RQJOse+pfMYzWp2XXA51z+xffVMe/S+RQw73YL7/Es8xb+y0txrqbzguVVNt4N/Rb3He9mOm9n vBv6iY2X6/KLuuTSn5+4XtzbIziK68hSnqQzJqpZfZftUnrwcKmZ1gPsyK2gy4Zz++FHvXmA7bjP ifBPq3+kIvzd4oIeAvb/kvi34z4nwluJf4Q/W9zQ0MX+RYsDNZFpxcu4Knu7aHvaljc4tPfKk9XK jHexUvMuT1XHb6fsvbj2aHva0Kdbal8yDX29h9ctJXG972Y8kOBzElchwYsO64cTfEBwbB+oBeGL 7QP1Wvhi/kCdb+NfxpdSx7N/5cmr7D/Pzv42dL+sM5fEeVXOXowDdVfqv4dD0V/x6SKQW8LILcFR gD3/LnQLei73ikI8NebPzFaqMM9nHcDASbgjDjw83cnb/bzXAy3+fwBkPuLl7AQAAA== H4sIAAAAAAAEC7t+9tgsBgjgYmBi4AQxBcMYQQxmU0YGoJAMWJYVSHIygZggFhMjUArMYmT6//8/ mKXHKAEV44ar42ECGsAlBBRXY+NnkGIAqv3PwCAA5B8Aso4B8QGgRceAhnFD1fAw+CaWZIRUFqQy MASA7f7N1PAPKAkEE0CWMrAwMQiEZOamFiv4pZYrBOXnJuYxvNj4sfwjECs4fC5v5k+7wQJUpwtU zQGkjbgSGA04QVo1K2H8Gg4Q3xjO/8cO4mvA+V5MqOq7wP41gsszgPkalaCwQXYfSBfx7mNkALnz A1ATzF1eYHdUwO2pYQGZGAHn+zCA+BUY9gIFQSEtEFyZm5Sfw8Cwmoerfc5HYZzhArGXEW4vIxvI XBu4PerMED4XUBQUc1zgmAOJMUDjRICBHczbA45rRiYmpeDK4pLUXIYboPBnAOpQZOgCawARWz4L g/2qCww3mJ+ZwfoBzgt0y4ACAAA= (12)0H4sIAAAAAAAEC41RMUvDQBT+7pKoTSsNLYiIQ3UQBeugq4h/QBGboS5ihYiCsUILMZtzJ2cn/4Jr 6eAg2ZxdAy6ODR0F43vPJAgieHB33/fuve/jvXt9ie4hK7agVYnh+EiBgDGrAI1FebXoLGmGjLSi J0FKp2kqaEPNZ7FykVfR0LFVo/jKVBULoNwUcIg/EYpoP5BcRGLlLKeCvU7/3A2vPeBAvD/07Sc9 0rpjU5gajnvhe73Gvhc0Drt+5wrvj0mQ0G7sToJR9WxoUl6Tsmfo3rRPVM3i0rUw58cm862Cxwbz 1ZB7/enH0f/7KbDvmIpyn3XRvSl82mDF9i8fCtKk4LRC/7R7CTxX7LntpP5nX98+qvB5k//YCW0S 4knbMmn2QjZDB9PCRvI3SuvlVtjrez6GPC9QxRIGUsCHO6lLL03SzXsypP4L3jwUoTACAAA= (13)Se procura modelar a cada indicador cinético como una combinación de funciones de membresías trapezoidales y triangulares, donde cada tipo hemipléjicos es una función con un rango de dominio compartido con otros tipos de hemiplejias adyacente. La figura 3 muestra este modelo difuso que cuantifica el grado de pertenencia para una entrada dada (12, 17).La característica más apreciable de las funciones de membresía mostradas en la figura 4 es el solapamiento existente entre ellas (8). En el caso del indicador contacto inicial en tobillo, la función de membresía tipo 3 es muy selectiva dado que la base de su triángulo es más reducida, se observa también que la función del tipo 4 solapa todos los demás tipos de hemiplejia. Los indicadores apoyo medio en tobillo y apoyo terminal en rodilla, tienen funciones con base más amplia que permite mayor rango de selección de momentos de fuerza articular.iVBORw0KGgoAAAANSUhEUgAAA0gAAAEzCAIAAACE/7SnAAAAAXNSR0IArs4c6QAASJtJREFUeF7t nT/sX1X5x39VFIiJmGgiYZHBxJoQBRdlkm6ytTEmdJJGBxoWOpVOlAk6KCXGWCfqYHTzu1EmO5jQ jaoD3ehGN9GFqiT9vfHB4+V+Pp97zz33/L+vz9BAe+45z3k95577Puc5f47du3fv//hBAAIQgAAE IAABCLRP4DPtV4EaQAACEIAABCAAAQh8TABhRzuAAAQgAAEIQAACnRBA2HXiSKoBAQhAAAIQgAAE EHa0AQhAAAIQgAAEINAJAYRdJ46kGhCAAAQgAAEIQABhRxuAAAQgAAEIQAACnRBA2HXiSKoBAQhA AAIQgAAEEHa0AQhAAAIQgAAEINAJAYRdJ46kGhCAAAQgAAEIQABhRxuAAAQgAAEIQAACnRBA2HXi SKoBAQhAAAIQgAAEEHa0AQhAAAIQgAAEINAJAYRdJ46kGhCAAAQgAAEIQABhRxuAAAQgAAEIQAAC nRBA2HXiSKoBAQhAAAIQgAAEEHa0AQhAAAIQgAAEINAJAYRdJ46kGhCAAAQgAAEIQABhRxuAAAQg AAEIQAACnRA4du/evU6qQjUgAIH0BI4dOzYqhD4kPXVKgAAEIOBLgBk7X1KkgwAEIAABCEAAApUT YMaucgdhHgTWEtidYwvI0U3L9Tdj11+NAvzLIxCAQDcEmLHrxpVUBAIQWEwgiupdXCoPQAACEEhG 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Funciones de membresías.Al evaluar el momento de fuerza articular de un paciente en cualquiera de las funciones de membresía de los indicadores obtenidos, se tendrá un grado de ponderación entre 0 y 1. Mientras más cercano a 1 sea el valor ponderado, mayor es su pertenencia a un determinado tipo de hemiplejia. Al incrementarse esta pertenencia a un específico tipo hemipléjico, la membresía a los demás tipo adyacentes disminuye.Algoritmo de Clasificación. Siguiendo la metodología de clasificación utilizada por los especialistas al analizar los registros cinemáticos desde distal a proximal, se construye el algoritmo de la figura 5. En este caso los indicadores corresponden a los rangos de los momentos cinéticos en tobillo y rodilla.La figura 6 muestra la validación de los resultados con el 25% de los registros, se evalúa los momentos de fuerza articular promediado de los registros de los pacientes sobre las funciones de membresía de los indicadores. Los grados de pertenencias son pesos representados en porcentajes que expresa en forma difusa la pertenencia a determinado tipo hemipléjico.Validación. El 25% de los registros es utilizado para validar el modelo. Cada uno de los pacientes es un registro individual al que se evalúa su valor promediado del momento cinético sobre las funciones de membresía de los indicadores en tobillo y rodilla. Como se muestra en la figura 6, el criterio en la toma de decisión para decidir que un registro de un paciente pertenece a un tipo hemipléjico es si al menos dos de los tres indicadores tienen el mismo tipo hemipléjico. Es ideal cuando el modelo coincide con el mismo tipo hemipléjico en los tres indicadores. El modelo es imposible para clasificar cuando los tres indicadores difieren en el tipo de hemiplejia. El término conocido como verdaderos positivos es el número de instancias o casos clasificados dentro de una clase a la que realmente pertenece. La expresión falso negativo se refiere a aquellas instancias o casos clasificados dentro de una clase a la que no pertenece. La sensibilidad es la probabilidad de clasificar correctamente una instancia y se le conoce como la tasa de verdaderos positivos (12, 17).El modelo muestra un 83,33% de sensibilidad para detectar y clasificar correctamente los pacientes tipo 1, 75% para el tipo 2, 62,5% para el tipo 3 y para el tipo 4 se obtiene una sensibilidad de 85,7 %.Discusión 71Los grupos hemipléjicos tipos 1 y tipo 2 requieren ser clasificados considerando sólo los patrones cinemáticos en el plano sagital. La hemiplejia tipo 3 y 4 deben ser clasificados complementando las características cinemáticas y cinéticas. Aquellos casos que resultaron imposibles de clasificar requieren ser complementados con el método tradicional de clasificación cinemática. 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