Portable Non-Invasive Acoustic Identification of Stroke

便携式非侵入性中风声学识别

• 批准号: 6668565
• 负责人: JOHN Milton SEWELL
• 金额: $ 35.65万
• 依托单位: ACTIVE SIGNAL TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-30 至 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6668565
• 关键词: biomedical equipment development; cerebral hemorrhage; cerebral ischemia /hypoxia; cerebrovascular disorder diagnosis; computer data analysis; computer program /software; diagnosis design /evaluation; human subject; noninvasive diagnosis; patient oriented research; portable biomedical equipment; rapid diagnosis; stroke

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.

描述（由申请人提供）：主动信号技术公司与马里兰州大学医学中心的大脑攻击小组合作，提出改进和测试一种新型便携式非侵入性系统，该系统将能够快速识别中风。每年大约有75万人中风，其中80%以上是缺血性的。然而，只有1%的人接受药物治疗，如TPA，已知如果在发病后3小时内给药，可以溶解血栓并促进良好的结果。在这种严重的健康和最终的经济问题的许多原因中，无法快速区分缺血性中风和出血性中风以允许干预。该设备是一个小型的非侵入性系统，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将添加代码来计算第一阶段确定的那些信号特征，以指示患者的中风状况，该团队将对200名患者进行临床测试，以确定第一阶段确定的中风识别假设。 该系统将被小型化，以便EMS单位在受伤现场使用。这将大大增加缺血性中风患者接受时间敏感性治疗的比例，减少残疾和医疗费用。