碰撞数据处理支持运动员脑震荡的有效诊断

Dayananda Suratkal
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引用次数: 4

摘要

碰撞/接触运动员,特别是足球和曲棍球运动员,在比赛中会发生非常高的碰撞。球员可能会遭受脑震荡,这是一个医学术语,与头部受到打击或猛烈撞击后大脑功能紊乱有关。这种脑震荡可能导致轻度创伤性脑损伤(MTBI)。通常很难评估在训练或比赛中遭受头部撞击的运动员的严重程度,医生、训练员和教练利用标准的神经学检查和认知问题来确定撞击的相对严重程度及其对运动员的影响。问题说明是生成碰撞信号振幅的中位数,并建立一个输出波形,反映这种影响变化的确切性质,以提供给医疗队。如果有一个医学数据库可以将上述影响数据与MTBI类型联系起来,则诊断将更有效,更节省时间。本文详细介绍了虚拟体育领域中“基于加速度计和Matlab的运动员碰撞数据仿真与实时处理”的相关工作,以解决上述问题。
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Processing of Collision Data to Support Efficient Diagnosis of Concussion in Sports Athletes
Collision/Contact sports persons, particularly football and hockey players are involved in very high impact collisions during play. The player may be subjected to Concussion a medical term related to the disturbance in the brain function following a blow to head or a violent impact. This Concussion may result in to Mild Traumatic Brain Injury (MTBI). Often it is difficult to assess the severity of the blow to athletes who suffer head impacts during a practice or game situation and physicians, trainers, and coaches utilize standard neurological examinations and cognitive questioning to determine the relative severity of the impact and its effect on the athlete. The statement of problem is to generate medians of amplitude of the collision signal and build an output waveform reflecting the exact nature of variation of this impact, to be made available to medical team. If a medical data bank is available to relate the above data of impact with type of MTBI, the diagnosis will be more effective and less time consuming. This paper presents the details of the work related to the "Simulation and Real Time Processing Of Athletes Collision Data Using Accelerometer and Matlab" in the virtual sports field to address the above statement of problem.
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