Objective metrics for functional evaluation of upper limb during the ADL of drinking: application in SCI

Three-dimensional kinematic analysis provides quantitative assessment of upper limb motion and is used as an outcome measure to evaluate movement disorders. The aim of the present study is to present a set of kinematic metrics for quantifying characteristics of movement performance and the functional status of the subject during the execution of the activity of daily living (ADL) of drinking from a glass. Then, the objective is to apply these metrics in healthy people and a population with cervical spinal cord injury (SCI), and to analyze the metrics ability to discriminate between healthy and pathologic people. 19 people participated in the study: 7 subjects with metameric level C6 tetraplegia, 4 subjects with metameric level C7 tetraplegia and 8 healthy subjects. The movement was recorded with a photogrammetry system. The ADL of drinking was divided into a series of clearly identifiable phases to facilitate analysis. Metrics describing the time of the reaching phase, the range of motion of the joints analyzed, and characteristics of movement performance such as the efficiency, accuracy and smoothness of the distal segment and inter-joint coordination were obtained. The performance of the drinking task was more variable in people with SCI compared to the control group in relation to the metrics measured. Reaching time was longer in SCI groups. The proposed metrics showed capability to discriminate between healthy and pathologic people. Relative deficits in efficiency were larger in SCI people than in controls. These metrics can provide useful information in a clinical setting about the quality of the movement performed by healthy and SCI people during functional activities.

The application of biomechanics to penalty corner drag-flick training: a case of Study

The penalty corner is one of the most important game situations in field hockey with one third of all goals resulting from this tactical situation. The aim of this study was to develop and apply a training method, based on previous studies, to improve the drag- flick skill on a young top-class field hockey player. A young top-class player exercised three times per week using specific drills over a four week period. A VICON optoelectronic system (Oxford Metrics, Oxford, UK) was employed to capture twenty drag-flicks, with six cameras sampling at 250 Hz, prior and after the training period. In order to analyze pre- and post-test differences a dependent t-test was carried out. Angular velocities and the kinematic sequence were similar to previous studies. The player improved (albeit not significantly) the angular velocity of the stick. The player increased front foot to the ball at T1 (p < 0.01) and the drag-flick distances. The range of motion from the front leg decreased from T1 to T6 after the training period (p < 0.01). The specific training sessions conducted with the player improved some features of this particular skill. This article shows how technical knowledge can help with the design of training programs and whether some drills are more effective than others.

An Interval-based Multiobjective Approach to Feature Subset Selection Using Joint Modeling of Objectives and Variables

This paper studies feature subset selection in classification using a multiobjective estimation of distribution algorithm. We consider six functions, namely area under ROC curve, sensitivity, specificity, precision, F1 measure and Brier score, for evaluation of feature subsets and as the objectives of the problem. One of the characteristics of these objective functions is the existence of noise in their values that should be appropriately handled during optimization. Our proposed algorithm consists of two major techniques which are specially designed for the feature subset selection problem. The first one is a solution ranking method based on interval values to handle the noise in the objectives of this problem. The second one is a model estimation method for learning a joint probabilistic model of objectives and variables which is used to generate new solutions and advance through the search space. To simplify model estimation, l1 regularized regression is used to select a subset of problem variables before model learning. The proposed algorithm is compared with a well-known ranking method for interval-valued objectives and a standard multiobjective genetic algorithm. Particularly, the effects of the two new techniques are experimentally investigated. The experimental results show that the proposed algorithm is able to obtain comparable or better performance on the tested datasets.

Multi-objective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables

This paper proposes a new multi-objective estimation of distribution algorithm (EDA) based on joint modeling of objectives and variables. This EDA uses the multi-dimensional Bayesian network as its probabilistic model. In this way it can capture the dependencies between objectives, variables and objectives, as well as the dependencies learnt between variables in other Bayesian network-based EDAs. This model leads to a problem decomposition that helps the proposed algorithm to find better trade-off solutions to the multi-objective problem. In addition to Pareto set approximation, the algorithm is also able to estimate the structure of the multi-objective problem. To apply the algorithm to many-objective problems, the algorithm includes four different ranking methods proposed in the literature for this purpose. The algorithm is applied to the set of walking fish group (WFG) problems, and its optimization performance is compared with an evolutionary algorithm and another multi-objective EDA. The experimental results show that the proposed algorithm performs significantly better on many of the problems and for different objective space dimensions, and achieves comparable results on some compared with the other algorithms.

Relevance of motion-related assessment metrics in laparoscopic surgery

INTRODUCTION: Motion metrics have become an important source of information when addressing the assessment of surgical expertise. However, their direct relationship with the different surgical skills has not been fully explored. The purpose of this study is to investigate the relevance of motion-related metrics in the evaluation processes of basic psychomotor laparoscopic skills, as well as their correlation with the different abilities sought to measure. METHODS: A framework for task definition and metric analysis is proposed. An explorative survey was first conducted with a board of experts to identify metrics to assess basic psychomotor skills. Based on the output of that survey, three novel tasks for surgical assessment were designed. Face and construct validation study was performed, with focus on motion-related metrics. Tasks were performed by 42 participants (16 novices, 22 residents and 4 experts). Movements of the laparoscopic instruments were registered with the TrEndo tracking system and analyzed. RESULTS: Time, path length and depth showed construct validity for all three tasks. Motion smoothness and idle time also showed validity for tasks involving bi-manual coordination and tasks requiring a more tactical approach respectively. Additionally, motion smoothness and average speed showed a high internal consistency, proving them to be the most task-independent of all the metrics analyzed. CONCLUSION: Motion metrics are complementary and valid for assessing basic psychomotor skills, and their relevance depends on the skill being evaluated. A larger clinical implementation, combined with quality performance information, will give more insight on the relevance of the results shown in this study.

Analysis of the influence of the plasma thermodynamic regime in the spectrally resolved and mean radiative opacity calculations of carbon plasmas in a wide range of density and temperature

In this work the spectrally resolved, multigroup and mean radiative opacities of carbon plasmas are calculated for a wide range of plasma conditions which cover situations where corona, local thermodynamic and non-local thermodynamic equilibrium regimes are found. An analysis of the influence of the thermodynamic regime on these magnitudes is also carried out by means of comparisons of the results obtained from collisional-radiative, corona or Saha–Boltzmann equations. All the calculations presented in this work were performed using ABAKO/RAPCAL code.

Parametrization of the average ionization and radiative cooling rates of carbon plasmas in a wide range of density and temperature

In this work we present an analysis of the influence of the thermodynamic regime on the monochromatic emissivity, the radiative power loss and the radiative cooling rate for optically thin carbon plasmas over a wide range of electron temperature and density assuming steady state situations. Furthermore, we propose analytical expressions depending on the electron density and temperature for the average ionization and cooling rate based on polynomial fittings which are valid for the whole range of plasma conditions considered in this work.

Joint assessment of water and agricultural policies: a Pan-European multidimensional modelling approach.

Sustainability and the food-water-environment nexus. Food-water linkages in global agro-economic models. The CAPRI water module. Potential to jointly assess food and water policies. Pilot case study. Further development.

A new set of integrals of motion to propagate the perturbed two-body problem

A formulation of the perturbed two-body problem that relies on a new set of orbital elements is presented. The proposed method represents a generalization of the special perturbation method published by Peláez et al. (Celest Mech Dyn Astron 97(2):131?150,2007) for the case of a perturbing force that is partially or totally derivable from a potential. We accomplish this result by employing a generalized Sundman time transformation in the framework of the projective decomposition, which is a known approach for transforming the two-body problem into a set of linear and regular differential equations of motion. Numerical tests, carried out with examples extensively used in the literature, show the remarkable improvement of the performance of the new method for different kinds of perturbations and eccentricities. In particular, one notable result is that the quadratic dependence of the position error on the time-like argument exhibited by Peláez?s method for near-circular motion under the J2 perturbation is transformed into linear.Moreover, themethod reveals to be competitive with two very popular elementmethods derived from theKustaanheimo-Stiefel and Sperling-Burdet regularizations.

Influencia de un programa de ejercicio aeróbico en la calidad de vida de pacientes afectadas por cáncer de mama = Influence of an aerobic exercise program on breast cancer patients’ quality of life

INTRODUCCIÓN Actualmente las supervivientes de cáncer de mama viven durante más tiempo. Sin embargo, los tratamientos utilizados presentan importantes efectos secundarios que afectan y marcan su calidad de vida. Numerosos estudios han mostrado que el ejercicio es una herramienta apta, segura y efectiva reduciendo algunos de estos efectos secundarios y, en suma, mejorando la calidad de vida de estas pacientes, aspecto que presenta al ejercicio físico como una intervención integral para ellas. Por el contrario, se ha observado que las supervivientes de cáncer de mama reducen la cantidad de ejercicio que realizan después de dichos tratamientos. Por ello, el objetivo de este proyecto es examinar los efectos de un programa integral de ejercicio en la calidad de vida y la cantidad de ejercicio físico que realizan las pacientes con cáncer de mama en su tiempo, tras finalizar sus tratamientos. MATERIAL Y MÉTODOS Se diseñó un Ensayo Clínico Aleatorizado. Noventa pacientes diagnosticadas de cáncer de mama en estadios tempranos que habían terminado sus tratamientos de radioterapia y quimioterapia recientemente, fueron reclutadas por la Universidad Politécnica de Madrid, desde enero de 2013 hasta junio de 2014. Las pacientes fueron aleatorizadas tras las mediciones iniciales al grupo control (tratamientos habituales) o grupo intervención, durante tres meses. La intervención consistió en 24 clases de ejercicio combinando práctica aeróbica y de fuerza con el fin de reducir los efectos secundarios de dichos tratamientos. La calidad de vida, la cantidad de ejercicio físico realizado en tiempo de ocio, VO2max, la fuerza, la movilidad articular del hombro, la fatiga, la depresión y la ansiedad fueron medidos al inicio y después de los tres meses en todos los pacientes. RESULTADOS Un total de 89 pacientes con una media de 49.06±8.75 de edad fueron finalmente analizadas. El grupo intervención (n=44) mostraron significativamente mejores resultados en calidad de vida (p=0.0001; d=0.85), cantidad de ejercicio en tiempo de ocio (p=0.0001; d=2.77), en variables de la composición corporal, en variables físicas y en variables psicológicas comparado con el grupo control (n=45). Además, se observó una correlación significativa entre la calidad de vida y el ejercicio realizado en tiempo de ocio en el grupo intervención (r= 0.58; p=0.001), que no fue patente en el grupo control. Se observaron cambios significativos en el grupo de intervención relativos a la composición corporal, con aumento de la masa muscular (p=0.001) y reducción de la masa grasa (p=0.0001). Tanto las variables físicas como psicológicas también mostraron diferencias significativas a favor al grupo de intervención en las comparaciones entre grupos. CONCLUSIONES Según estos resultados, un programa de ejercicio físico específico es una intervención integral que mejora los hábitos y la calidad de vida de las supervivientes de cáncer de mama, lo que reduce determinados efectos secundarios de los tratamientos y aumenta la salud física y psicológica general de estas mujeres. Este tipo de intervenciones pude ser una herramienta barata y efectiva para ofrecer a los pacientes, integrada en los tratamientos habituales. ABSTRACT INTRODUCTION It is well known that breast cancer survivors are living longer. However, breast cancer treatments present serious side effects, which could affect breast cancer survivors’ (BCS) health and quality of life (QoL). Exercise has been presented as a feasible, safe and effective tool in reducing some of these side effects and to improve survivors’ QoL, acting as an integrative treatment for them, although it has been observed that BCS reduce their leisure time exercise (LTE) levels. Therefore, the aim of this study was to examine the effects of an integrative exercise program in QoL and LTE in BCS after the completion of their adjuvant treatment. MATERIAL AND METHODS A randomized controlled trial (RCT) was designed. Ninety patients diagnosed with an early stage of breast cancer and who recently finished chemotherapy and radiotherapy treatments were recruited by the Technical University of Madrid from January 2013 to June 2014. Patients were randomized after baseline assessments to the intervention group (IG) or to the control group (CG) (usual care) for three months. The Intervention consisted in 24 supervised exercise classes, combining aerobic and resistance exercises in order to reduce the most common side effects of the treatments. QoL, LTE, body composition, VO2max, strength, shoulder range of motion, fatigue, depression and self-esteem were measured in all the patients at baseline and after three months. RESULTS A total of 89 patients aged 49.06±8.75 years were finally assessed. IG (n=44) showed significant better results in QoL (p=0.0001; d=0.85), LTE (p=0.0001; d=2.77), in body composition, in the physical variable and in psychological outcomes, compared with the CG (n=45). In addition, a correlation between QoL and LTE (r= 0.58; p=0.001) was found in the IG, while CG did not show this correlation. Significant changes in body composition were observed in the group comparisons, especially in lean mass (p=0.001) and body fat mass (p= 0.0001). Positive changes were also observed in the physical and psychological variables in comparisons between groups. CONCLUSIONS These results suggest that this exercise program may be an integrative intervention, which is able to improve QoL and LTE levels in breast cancer survivors, reducing breast cancer side effects of treatments and improving their physical and psychological general health. Exercise may be an effective and inexpensive strategy to be included in patients integrative care.

Classification of natural flow regimes in the Ebro basin (Spain) by using a wide range of hydrologic parameters

Clasificación de tipos de régimenes naturales de caudales a partir de parámetros de tres componentes del régimen fluvial: magnitud, frecuencia y duración.

1RM prediction: a data mining case study

In the last few years there has been a heightened interest in data treatment and analysis with the aim of discovering hidden knowledge and eliciting relationships and patterns within this data. Data mining techniques (also known as Knowledge Discovery in Databases) have been applied over a wide range of fields such as marketing, investment, fraud detection, manufacturing, telecommunications and health. In this study, well-known data mining techniques such as artificial neural networks (ANN), genetic programming (GP), forward selection linear regression (LR) and k-means clustering techniques, are proposed to the health and sports community in order to aid with resistance training prescription. Appropriate resistance training prescription is effective for developing fitness, health and for enhancing general quality of life. Resistance exercise intensity is commonly prescribed as a percent of the one repetition maximum. 1RM, dynamic muscular strength, one repetition maximum or one execution maximum, is operationally defined as the heaviest load that can be moved over a specific range of motion, one time and with correct performance. The safety of the 1RM assessment has been questioned as such an enormous effort may lead to muscular injury. Prediction equations could help to tackle the problem of predicting the 1RM from submaximal loads, in order to avoid or at least, reduce the associated risks. We built different models from data on 30 men who performed up to 5 sets to exhaustion at different percentages of the 1RM in the bench press action, until reaching their actual 1RM. Also, a comparison of different existing prediction equations is carried out. The LR model seems to outperform the ANN and GP models for the 1RM prediction in the range between 1 and 10 repetitions. At 75% of the 1RM some subjects (n = 5) could perform 13 repetitions with proper technique in the bench press action, whilst other subjects (n = 20) performed statistically significant (p < 0:05) more repetitions at 70% than at 75% of their actual 1RM in the bench press action. Rate of perceived exertion (RPE) seems not to be a good predictor for 1RM when all the sets are performed until exhaustion, as no significant differences (p < 0:05) were found in the RPE at 75%, 80% and 90% of the 1RM. Also, years of experience and weekly hours of strength training are better correlated to 1RM (p < 0:05) than body weight. O'Connor et al. 1RM prediction equation seems to arise from the data gathered and seems to be the most accurate 1RM prediction equation from those proposed in literature and used in this study. Epley's 1RM prediction equation is reproduced by means of data simulation from 1RM literature equations. Finally, future lines of research are proposed related to the problem of the 1RM prediction by means of genetic algorithms, neural networks and clustering techniques. RESUMEN En los últimos años ha habido un creciente interés en el tratamiento y análisis de datos con el propósito de descubrir relaciones, patrones y conocimiento oculto en los mismos. Las técnicas de data mining (también llamadas de \Descubrimiento de conocimiento en bases de datos\) se han aplicado consistentemente a lo gran de un gran espectro de áreas como el marketing, inversiones, detección de fraude, producción industrial, telecomunicaciones y salud. En este estudio, técnicas bien conocidas de data mining como las redes neuronales artificiales (ANN), programación genética (GP), regresión lineal con selección hacia adelante (LR) y la técnica de clustering k-means, se proponen a la comunidad del deporte y la salud con el objetivo de ayudar con la prescripción del entrenamiento de fuerza. Una apropiada prescripción de entrenamiento de fuerza es efectiva no solo para mejorar el estado de forma general, sino para mejorar la salud e incrementar la calidad de vida. La intensidad en un ejercicio de fuerza se prescribe generalmente como un porcentaje de la repetición máxima. 1RM, fuerza muscular dinámica, una repetición máxima o una ejecución máxima, se define operacionalmente como la carga máxima que puede ser movida en un rango de movimiento específico, una vez y con una técnica correcta. La seguridad de las pruebas de 1RM ha sido cuestionada debido a que el gran esfuerzo requerido para llevarlas a cabo puede derivar en serias lesiones musculares. Las ecuaciones predictivas pueden ayudar a atajar el problema de la predicción de la 1RM con cargas sub-máximas y son empleadas con el propósito de eliminar o al menos, reducir los riesgos asociados. En este estudio, se construyeron distintos modelos a partir de los datos recogidos de 30 hombres que realizaron hasta 5 series al fallo en el ejercicio press de banca a distintos porcentajes de la 1RM, hasta llegar a su 1RM real. También se muestra una comparación de algunas de las distintas ecuaciones de predicción propuestas con anterioridad. El modelo LR parece superar a los modelos ANN y GP para la predicción de la 1RM entre 1 y 10 repeticiones. Al 75% de la 1RM algunos sujetos (n = 5) pudieron realizar 13 repeticiones con una técnica apropiada en el ejercicio press de banca, mientras que otros (n = 20) realizaron significativamente (p < 0:05) más repeticiones al 70% que al 75% de su 1RM en el press de banca. El ínndice de esfuerzo percibido (RPE) parece no ser un buen predictor del 1RM cuando todas las series se realizan al fallo, puesto que no existen diferencias signifiativas (p < 0:05) en el RPE al 75%, 80% y el 90% de la 1RM. Además, los años de experiencia y las horas semanales dedicadas al entrenamiento de fuerza están más correlacionadas con la 1RM (p < 0:05) que el peso corporal. La ecuación de O'Connor et al. parece surgir de los datos recogidos y parece ser la ecuación de predicción de 1RM más precisa de aquellas propuestas en la literatura y empleadas en este estudio. La ecuación de predicción de la 1RM de Epley es reproducida mediante simulación de datos a partir de algunas ecuaciones de predicción de la 1RM propuestas con anterioridad. Finalmente, se proponen futuras líneas de investigación relacionadas con el problema de la predicción de la 1RM mediante algoritmos genéticos, redes neuronales y técnicas de clustering.

Análisis de la marcha: evaluación de un exoesqueleto aplicado a la marcha asistida

La marcha humana es el mecanismo de locomoción por el cual el cuerpo humano se traslada en línea recta gracias a una serie de movimientos coordinados de la pelvis y de las articulaciones del miembro inferior. Frecuentemente se encuentra influenciada por factores biomecánicos, anatómicos o patologías del sistema neuromusculoesquelético que modifican la forma de caminar de cada individuo. La lesión de médula espinal es una de las patologías que afectan el desarrollo normal de los patrones de la marcha por alteración de la movilidad, de la sensibilidad o del sistema nervioso autónomo. Aunque la lesión medular afecta otras funciones, además de la pérdida de función motora y sensorial, la recuperación de la capacidad de caminar es la mayor prioridad identificada por los pacientes durante la rehabilitación. Por ello, el desarrollo de dispositivos que faciliten la rehabilitación o compensación de la marcha es uno de los principales objetivos de diferentes grupos de investigación y empresas. En el contexto del proyecto Hybrid Technological Platform for Rehabilitation, Functional Compensation and Training of Gait in Spinal Cord Injury Patients se ha desarrollado un dispositivo que combina una órtesis activa (exoesqueleto) y un andador motorizado. Este sistema, como otros dispositivos, tiene el movimiento humano como estándar de referencia, no obstante no se evalúa de manera habitual, cómo es el patrón de la marcha reproducido y su similitud o diferencias con la marcha humana, o las modificaciones o adaptaciones en la interacción con el cuerpo del paciente. El presente estudio trata de examinar las características de la marcha normal en diversos grupos de población, y las diferencias con el patrón de marcha lenta. Finalmente, se pretende evaluar qué modificaciones y adaptaciones sufre el patrón de marcha lenta teórico al ser reproducido por el exoesqueleto. La presente investigación consiste en un estudio cuantitativo transversal desarrollado en dos etapas: estudio 1 y estudio 2. En el estudio 1 se analizó el patrón de la marcha a velocidad libremente seleccionada (normal) y el patrón de la marcha a velocidad lenta (0.25m/s) en 62 sujetos distribuidos en grupos considerando el sexo y los percentiles 25, 50 y 75 de estatura de la población española. Durante el estudio 2 se analizó el patrón de la marcha lenta reproducido por el dispositivo Hybrid a diferentes porcentajes de peso corporal (30%, 50% y 70%) en diez sujetos seleccionados aleatoriamente de la muestra del estudio 1. En ambos estudios se obtuvieron variables espacio-temporales y cinemáticas mediante un sistema de captura de movimiento con 6 cámaras distribuidas a lo largo de un pasillo de marcha. Se calcularon las medias, las desviaciones estándar y el 95% de intervalo de confianza, y el nivel alfa de significación se estableció en α=0.05 para todas las pruebas estadísticas. Las principales diferencias en el patrón normal de la marcha se encontraron en los parámetros cinemáticos de hombres y mujeres, aunque también se presentaron diferencias entre los grupos en función de la estatura. Las mujeres mostraron mayor flexión de cadera y rodilla, y mayor extensión de tobillo que los hombres durante el ciclo normal, aunque la basculación lateral de la pelvis, mayor en las mujeres, y el desplazamiento lateral del centro de gravedad, mayor en los hombres, fueron los parámetros identificados como principales discriminantes entre sexos. La disminución de la velocidad de la marcha mostró similares adaptaciones y modificaciones en hombres y en mujeres, presentándose un aumento de la fase de apoyo y una disminución de la fase de oscilación, un retraso de los máximos y mínimos de flexoextensión de cadera, rodilla y tobillo, y una disminución del rango articular en las tres articulaciones. Asimismo, la basculación lateral de la pelvis y el movimiento vertical del centro de gravedad disminuyeron, mientras que el movimiento lateral del centro de gravedad y el ancho de paso aumentaron. Durante la evaluación del patrón de la marcha reproducido por el exoesqueleto se observó que las tres articulaciones del miembro inferior disminuían el rango de movimiento por la falta de fuerza de los motores para contrarrestar el peso corporal, incluso con un 70% de descarga de peso. Además, la transferencia de peso se encontró limitada por la falta de movimiento de la pelvis en el plano frontal y se sustituyó por un aumento de la inclinación del tronco y, por tanto, del movimiento lateral del centro de gravedad. Este hecho, junto al aumento del desplazamiento vertical del centro de gravedad, hizo del patrón de la marcha reproducido por el exoesqueleto un movimiento poco eficiente. En conclusión, se establecen patrones de marcha normal diferenciados por sexos, siendo la basculación lateral de la pelvis y el movimiento lateral del centro de gravedad los parámetros discriminantes más característicos entre sexos. Comparando la marcha a velocidad libremente seleccionada y la velocidad lenta, se concluye que ambos sexos utilizan estrategias similares para adaptar el patrón de la marcha a una velocidad lenta y se mantienen las características diferenciadoras entre hombres y mujeres. En relación a la evaluación del dispositivo Hybrid, se deduce que la falta de movimiento lateral de la pelvis condiciona la transferencia de peso y el aumento del rango de movimiento del centro de gravedad y, en consecuencia, tiene como resultado un patrón de la marcha poco eficiente. Este patrón no resultaría indicado para los procesos de rehabilitación o recuperación de la marcha, aunque podría considerarse adecuado para la compensación funcional de la bipedestación y la locomoción. ABSTRACT The human walking is a means of moving body forward using a repetitious and coordinated sequence of pelvis and lower limb motions. It is frequently influenced by biomechanical and anatomical factors or by musculoskeletal pathologies which modify the way of walking. The spinal injury is one of those pathologies which affect the normal pattern of walking, due to the alteration of the mobility, the sensory or the autonomic nervous system. Although the spinal injury affects many other body functions, apart from the motor and sensory ones, the main priority for patients is to recover the ability of walking. Consequently, the main objective of many research groups and private companies is the development of rehabilitation and compensation devices for walking. In this context, the Hybrid Technological Platform for Rehabilitation, Functional Compensation and Training of Gait in Spinal Cord Injury Patients project has developed a device which integrates an exoskeleton and a motorized smart walker. This system, as other similar devices, has the human movement as standard reference. Nevertheless, these devices are not usually evaluated on the way they reproduce the normal human pattern or on the modifications and in the interactions with the patient’s body. The aim of the present study is to examine the normal walking characteristics, to analyze the differences between self-selected and low speed walking patterns, and to evaluate the modifications and adaptations of walking pattern when it is reproduced by the exoskeleton. The present research is a quantitative cross-sectional study carried out in two phases: study 1 and study 2. During the study 1, the self-selected and the low speed (0.25m/s) walking patterns were analyzed in sixty-two people distributed in groups, according to sex and 25th, 50th and 75th percentiles of height for Spanish population. The study 2 analyzed the low speed walking pattern reproduced by the Hybrid system in three conditions: 30%, 50% and 70% of body weight support. To do this, ten subjects were randomly selected and analyzed from the people of study 1. An optoelectronic system with six cameras was used to obtain spatial, temporal and kinematic parameters in both studies. Means, standard deviations and 95% confidence intervals of the study were calculated. The alpha level of significance was set at α=0.05 for all statistical tests. The main differences in normal gait pattern were found in kinematic parameters between men and women. The hip and the knee were more flexed and the ankle plantar flexion was higher in women than in men during normal gait cycle. Although the greater pelvic obliquity of women and the higher lateral movement of center of gravity of men were the most relevant discriminators between male and female gait patterns. Comparing self-selected and low speed walking patterns, both sexes showed similar adaptations and modifications. At low speed walking, men and women increased the stance phase ratio and decreased the swing phase ratio. The maximum and minimum peak flexion of hip, knee and ankle appeared after and the range of motion of them decreased during low speed walking. Furthermore, the pelvic obliquity and the vertical movement of the center of gravity decreased, whereas the lateral movement of center of gravity and step width increased. Evaluating the gait pattern reproduced by the exoskeleton, a decrease of lower limb range of motion was observed. This was probably due to the lack of strength of the engines, which were not able to control the body weight, even with the 70% supported. Moreover, the weight transfer from one limb to the contralateral side was restricted due to the lack of pelvis obliquity. This movement deficiency was replaced by the lateral torso sway and, consequently, the increase of lateral movement of the center of gravity. This fact, as well as the increase of the vertical displacement of the center of gravity, made inefficient the gait pattern reproduced by the exoskeleton. In conclusion, different gait patterns of both sexes have been determined, being pelvis obliquity and lateral movement of center of gravity the most relevant discriminators between male and female gait patterns. Comparing self-selected and low speed walking patterns, it was concluded that both sexes use similar strategies for adapting the gait pattern to a low speed, and therefore, the differentiating characteristics of normal gait are maintained. Regarding the Hybrid system evaluation, it was determined that the gait pattern reproduced by the exoskeleton is inefficient. This was due to the lack of pelvis obliquity and the increase of the center of gravity displacement. Consequently, whereas the walking pattern reproduced by the exoskeleton would not be appropriated for the rehabilitation process, it could be considered suitable for functional compensation of walking and standing.