Portable Non-Invasive Acoustic Identification of Stroke

描述(由申请人提供)：主动信号技术公司与马里兰大学医学中心的脑攻击团队合作，提议改进和测试一种新型的便携式非侵入性系统，该系统将能够快速识别中风。每年约有75万人罹患中风，其中80%以上为缺血性中风。然而，在这一数字中，只有1%的人接受了TPA等药物治疗，如果在发病后3小时内给予TPA，已知可以溶解血栓并促进良好的结果。造成这种严重的健康和最终经济问题的原因很多，其中之一是无法迅速区分缺血性中风和出血性中风，以便进行干预。该设备是一种小型非侵入性系统，可以测量大脑的声学特征，并将其与患者的动脉波形进行比较。Active Signal将添加代码来计算在第一阶段中识别的指示患者中风情况的信号特征，该团队将在200名患者身上临床测试第一阶段确定的中风识别假设。该系统将被微型化，供EMS单位在受伤现场使用。这将显著增加接受时间敏感疗法的缺血性中风患者的比例，减少残疾和医疗成本。

DESCRIPTION (provided by applicant): Active Signal Technologies, in partnership with the Brain Attack Team of the University of Maryland Medical Center, proposes to refine and test a novel portable, non-invasive system that will enable rapid identification of stroke. Approximately 750,000 people suffer a stroke each year and over 80% of these are ischemic. Yet only 1% of this number receives medical treatment such as TPA that is known to dissolve clots and promote favorable outcome if administered within 3 hours of onset. Among the many causes of this serious health and ultimately economic problem is the inability to rapidly differentiate ischemic from hemorrhagic strokes to allow intervention. The device is a small non-invasive system that measures the acoustic signature of the brain and compares it with the patient's arterial waveform. Active Signal will add code to calculate those signal features identified in Phase I as indicative of the patient's stroke condition, and the team will clinically test on 200 patients the hypotheses for stroke identification determined in Phase I. The system will be miniaturized for EMS units to use at the scene of injury. This would significantly increase the percentage of ischemic stroke patients who would receive time-sensitive therapies, reducing disability and medical costs.