首页> 外文会议>Asia Pacific conference on biomechanics;International conference on biomedical engineering;ICBME;APBiomech;World congress of biomechanics;WCB 2010 >A Three-Month Study of Fall and Physical Activity Levels of Intellectual Disability Using a Transfer Belt-Based Motion Recording Sensor
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A Three-Month Study of Fall and Physical Activity Levels of Intellectual Disability Using a Transfer Belt-Based Motion Recording Sensor

机译:使用基于传送带的运动记录传感器对智障者的跌倒和体育活动水平进行为期三个月的研究

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There are great deals of research into fall. It is generally accepted that falls may cause severe injuries, which contributes function decline and disability. Fall is, however, preventable with regularly risk factor assessing and appropriate muscle training. Since prolonged monitor of physical activity (PA) provides evidences to the tendency of health and predictive of risk of falling, a personal PA monitoring system is desirable to record all daytime activities. Our objective is to develop a system to evaluate the risk of fall for adults with intellectual disability in a nursing home. A compact data logging system which comprised with a MCU, buzzer, rechargeable battery, mini-SD memory card, and tri-axis's accelerometer was developed and embedded inside a transfer belt, which was worn by 10 subjects selected by physical therapists from the nursing home. The belts were then worn by subjects during all daytime activities planned by the social workers for 12 weeks with 5 days per week. All falls occurred were reported by the social workers in documentation with time and causes. Detection of fall and PA monitoring are factors in understanding and preventing fall. The systems successfully recorded all activities data and captured a few falls which were confirmed by observations. These data clearly show walking time and number of step. These were furnished to the physical therapist for further study and planning exercise. The subject's walking frequency pattern can, however, change from time to time. An adaptive step enumerated algorithm will be implemented in next trial to improve the step enumeration.
机译:关于跌倒的研究很多。通常认为跌倒可能会导致严重伤害,从而导致功能下降和残疾。但是,定期进行危险因素评估和适当的肌肉训练可以预防跌倒。由于长时间的身体活动监测(PA)可以提供健康趋势和跌倒风险预测的证据,因此最好使用个人PA监测系统来记录所有白天的活动。我们的目标是开发一种系统,用于评估敬老院中智障成人的跌倒风险。开发了一个紧凑的数据记录系统,该系统由MCU,蜂鸣器,可充电电池,mini-SD存储卡和三轴加速度计组成,并嵌入传送带内,由理疗师从疗养院挑选的10名受试者佩戴。然后,在社会工作者计划的所有白天活动中,受试者会佩戴安全带,持续12周,每周5天。社会工作者在记录下来的所有跌倒事件的时间和原因上进行了报告。跌倒检测和PA监测是了解和预防跌倒的因素。该系统成功记录了所有活动数据,并捕获了一些经观察证实的跌倒。这些数据清楚地显示了步行时间和步数。这些被提供给物理治疗师以供进一步研究和计划锻炼。但是,对象的步行频率模式可能会不时变化。在下一个试验中,将采用自适应步长枚举算法来改进步长枚举。

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