论文标题

可穿戴的传感器,用于单个握力分析

Wearable Sensors for Individual Grip Force Profiling

论文作者

Dresp-Langley, Birgitta

论文摘要

目前正在开发和使用具有传输功能的生物传感器和可穿戴传感器系统,用于监视健康数据,锻炼活动和其他性能数据。与传统方法不同,这些设备可以实时对用户行为信号进行方便,连续和/或不显而易见的监视。示例包括相对于身体运动,体温,血流参数以及各种生物学或生物化学标记的信号,如本章所示,单个握持力数据直接转化为手指和手掌上不同位置的时空握把力图。可穿戴传感器系统结合了传感器设计,电子设备,数据传输,电源管理和信号处理以进行统计分析的创新,此处将进一步显示。本章的第一部分将概述当前的握把力量分析,以突出要考虑的重要功能方面。在下一部分中,将根据最近的示例,以模拟器任务中的新手培训中的新手培训中的手术任务技能演变进行实时监控,以传感器手套系统的形式进行可穿戴传感器技术的贡献。在讨论中,优势和局限性将相互影响。

Biosensors and wearable sensor systems with transmitting capabilities are currently developed and used for the monitoring of health data, exercise activities, and other performance data. Unlike conventional approaches, these devices enable convenient, continuous, and/or unobtrusive monitoring of user behavioral signals in real time. Examples include signals relative to body motion, body temperature, blood flow parameters and a variety of biological or biochemical markers and, as will be shown in this chapter here, individual grip force data that directly translate into spatiotemporal grip force profiles for different locations on the fingers and palm of the hand. Wearable sensor systems combine innovation in sensor design, electronics, data transmission, power management, and signal processing for statistical analysis, as will be further shown herein. The first section of this chapter will provide an overview of the current state of the art in grip force profiling to highlight important functional aspects to be considered. In the next section, the contribution of wearable sensor technology in the form of sensor glove systems for the real-time monitoring of surgical task skill evolution in novices training in a simulator task will be described on the basis of recent examples. In the discussion, advantages and limitations will be weighed against each other.

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