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Characterization of Wireless Data Transmission over Wi-Fi in a Biomechanical Information Processing System

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TLDR
In this paper, the authors present a characterization of the wireless transmission of biomechanical signals in an embedded system, where a TCP protocol is used in an IEEE 802.11 communications network (Wi-Fi).
Abstract
This paper presents a characterization of the wireless transmission of biomechanical signals in an embedded system, where a TCP protocol is used in an IEEE 802.11 communications network (Wi-Fi). The embedded system under study, called Imocap, allows the collection, analysis and transmission of biomechanical signals in real-time for various applications, among which the analysis of the movement of the lower and upper extremities and the operation of various control systems stand out. To accomplish this, Imocap is equipped with a Wi-Fi transceiver module (ESP8266) and various input and output peripherals. The wireless communication performance of Imocap, exposed in this paper, was analyzed through different tests in miscellaneous conditions like indoors, outdoors and in the presence of interference, noise and other wireless networks. The different test protocols conducted result in the Imocap system: 1) has a maximum effective range of 45.6 m when in Access Point mode; 2) has a maximum effective range of 44.3 m when in Station mode. In indoors and under the same conditions, the Imocap system: 3) has a maximum effective range of 81.25 m2, either Access Point or Station mode. The results showed that the transmission of biomechanical information through Wi-Fi using the TCP protocol is efficient and robust, both indoors and outdoors, even in environments of radio frequency interference. The use of this protocol is emphasized since its use allows the transmission of packages to be carried out in a controlled manner, allowing the error handling and recovery. In this way, it is possible to carry out efficient and robust wireless communication through embedded and portable devices, focusing mainly on areas such as medicine, telemedicine and telerehabilitation.

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Journal ArticleDOI

Integration of Inertial Sensors in a Lower Limb Robotic Exoskeleton

TL;DR: In this paper , the authors presented the integration of a platform based on Imocap-GIS inertial sensors with a motion assistance exoskeleton that generates joint movement by means of Maxon motors and Harmonic drive reducers, where a near zero-lag is required for the gait accompaniment to be correct.
Journal ArticleDOI

A Kinematic Information Acquisition Model That Uses Digital Signals from an Inertial and Magnetic Motion Capture System

TL;DR: A model that enables the transformation of digital signals generated by an inertial and magnetic motion capture system into kinematic information is presented, concluding with its implementation in a virtual environment to display the kinematics information.
References
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Multi-sensor fusion based intelligent sensor relocation for health and safety monitoring in BSNs

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Book ChapterDOI

Design and Research on the Chinese Medicine Health Management System Based on the Wireless Sensor Network

TL;DR: This design combines the ZigBee technology, the city grid management and the virtual reality technology, to establish a real-time, accurate and fine health monitoring system, so as to comprehensively improve the efficiency, quality and level of people’s health management.
Journal ArticleDOI

Low-latency data gathering with reliability guaranteeing in heterogeneous wireless sensor networks

TL;DR: A number of simulation results show that the algorithms can achieve a lower data gathering latency than some comparable data gathering algorithms while guaranteeing the reliability of links, and a higher packet arrival rate at the sink node can be achieved when the proposed algorithms are performed with the robust mechanism.
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