• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Computer, Electrical Communication Engineering >Development of a smart glove for affordable diagnosis of stroke-driven upper extremity paresis
【24h】

Development of a smart glove for affordable diagnosis of stroke-driven upper extremity paresis

机译：开发一种智能手套，可负担得起的中风驱动性上肢轻瘫诊断

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Stroke is the third highest cause of disability-adjusted-life-years (DALYs) and is becoming an important cause of disability in low-and-middleincome countries (LMICs). It has been found that in developing countries, especially in rural areas, patients suffering from disabilities due to stroke do not receive appropriate on-time treatment due to infrastructural limitations and financial barriers. Conventional rehabilitation management systems fail to cater the demanding requirements thereby arousing the need for evolution of wearable m-Health devices for uninterrupted health monitoring of patients with upper extremity paresis. In the present research, we have developed an instrumented glove incorporated with wearable sensors (bend sensors, pressure sensors, and accelerometers) for continuous monitoring of activities of daily living (ADLs) by capturing and transmitting sensory information related to finger bend angle, tip pressure, and acceleration or orientation while doing specified grasps. The sensors were calibrated using standard instruments before installation. Two subjects, a healthy individual and an individual suffering from upper extremity disability after stroke impaired, were employed for experimental validation. The subjects were instructed to perform certain pre-defined tasks and the related finger bending angles, finger-tip pressures, and acceleration were recorded. The trend of the dataset obtained was graphically visualized and analyzed for statistical parameters like mean, variance, maxima, and minima, leading to a generation of appreciably distinguishable results that discriminated against a stroke patient from a healthy individual. Therefore, the present glove-based stroke diagnosis method can be adopted for an affordable and efficient stroke rehabilitation process while promoting m-health at the same time.
机译：中风是导致残疾调整生命年（DALYs）的第三大原因，并且正在成为中低收入国家（LMIC）残疾的重要原因。已经发现在发展中国家，特别是在农村地区，由于基础设施的限制和经济障碍，由于中风而遭受残疾的患者不能得到适当的按时治疗。传统的康复管理系统无法满足苛刻的要求，从而激起了对可穿戴m-Health设备的发展的需求，以对上肢轻瘫患者进行不间断的健康监测。在本研究中，我们开发了一种配有可穿戴传感器（弯曲传感器，压力传感器和加速度计）的仪器化手套，用于通过捕获和传输与手指弯曲角度，尖端压力有关的感官信息来连续监控日常生活活动（ADL） ，并在进行指定抓握时获得加速度或方向。在安装之前，使用标准仪器对传感器进行校准。实验对象为健康受试者和中风受损后患有上肢残疾的两名受试者。指示受试者执行某些预定义的任务，并记录相关的手指弯曲角度，指尖压力和加速度。图形化地显示了获得的数据集的趋势，并分析了诸如均值，方差，最大值和最小值之类的统计参数，从而导致产生了明显可区分的结果，该结果可将中风患者与健康个体区分开来。因此，本发明的基于手套的中风诊断方法可被用于负担得起且有效的中风康复过程，同时促进m健康。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号