Luis Rodriguez

Development of a Zigbee platform for bioinstrumentation

This paper presents the development of a network platform which allows connecting multiple individual wireless devices for transmitting bioelectrics and biomechanics signals for application in a hospital network, or continuous monitoring in a patients diary life. The Zigbee platform development proposal was made in three stages: 1) Hardware development, including the construction of a prototype network node and the integration of sensors, (2) Evaluation, in order to define the specifications of each node and scope of communication and (3) The Zigbee Network Implementation for bioinstrumentation based on ZigBee Health Care public application profile (ZHC). Finally, this work presents the experimental results based on measurements of Lost Packets and LQI (Link Quality Indicator), and the Zigbee Platform configuration for Bioinstrumentation in operation.

An approach to telemedicine intelligent, through web mining and instrumentation wearable

Este This paper introduces the integration of two technology trends: telemedicine and web mining with the aim of proposing a model of real-time diagnosis, along with added services for consultation and monitoring, in order to help medical personnel to use new tools ICT for disease diagnosis. We defined four stages: (A) Design of hardware, including communications and sensor integration of the patient. (B) Implementation of the Zigbee network for monitoring biomedical sensors

Gait Phase Detection for Lower Limb Prosthetic Devices

A prosthesis is an electronic-mechanical device that allows the replacement of a lost limb functionality. These features require strict control of the energy used for increment the operating time and patient’s safety. In lower limb prosthetic control, it is fundamental to detect each of the phases of the human gait cycle. For example, during the swing phase, the prosthesis must duplicate the movement of the healthy limb, and in load phase, this movement must be adapted. This article presents the algorithm for spatiotemporal human gait parameter using Teager-Kaiser energy operator and its partial validation.

Wearable Robotic Walker for Gait Rehabilitation and Assistance in Patients with Cerebral Palsy

Cerebral Palsy (CP) is the most common cause of permanent serious physical disability in childhood. New strategies are needed to help promote, maintain, and rehabilitate the functional capacity of children with severe level of impairment. The main objective of this work is to present a Human-Robot interaction strategy for overground rehabilitation to support novel robotic-based therapies for CP rehabilitation. This strategy is implemented in a new Wearable Robotic Walker named CPWalker. In our approach, legs’ kinematics information obtained from a Laser Range Finder (LRF) sensor is used to detect the user’s locomotion intentions and drive the robotic platform. During a preliminary validation we observed that this approach enabled the robot to continuously follow the human velocity and provided body weight support during gait.

Bioinspired Hip Exoskeleton for Enhanced Physical Interaction

Exoskeletons are becoming one of the most promising devices to improve quality of life to injured patients to regain ability to walk. Bioinspired designs in exoskeletons could increase adaptability as well as minimal interference to perform gait movements. An important issue regarding the design of this devices is the hip joint. This work presents a design of a bioinspired hip exoskeleton for enhanced physical interaction, which is based on the motion analysis model, taking into account bioinspired design criterion, and also concepts of wearable robots. As future work, both, the 3D prototyping of this device to evaluate the gait performance, and the actuators selection are considered.