SBIR Phase I: Development Of A Sensor System For Feedback Guided Manual Ventilation With A Bag Valve Mask.

袋式瓣膜面罩是一种简单、可挤压的手动换气工具，也是急诊和常规外科手术中最常用的手动换气方法。BVMS的简单和低成本使其广泛使用和销售，仅在美国每年就有大约1310万台一次性复苏器。尽管经常使用BVMS，但任何培训级别的提供者都经常提供无效的通风或不受控制的、无意的、被迫的过度通胀。研究表明，在使用标准的BVM时，88.4%的训练有素的使用者超过了推荐的压力，73.8%的人超过了推荐的音量范围2。即使是短时间的不当通风也会导致两个主要的并发症：1)过度伸展造成的肺损伤(称为蜗形伤)；2)空气过多；2)过度加压造成的肺损伤(称为气压伤)；这些情况可能导致危及生命的情况以及长时间和昂贵的住院费用，每次受伤的费用接近170,000加元(加元)。当在紧急情况下使用时，需要执行适当的BVM技术以在心肺复苏期间提供最佳的氧合。监测CPR按压深度和速度的设备广泛可用，AHA很快将在所有培训中心要求使用该设备。然而，目前还没有技术为手动通风提供类似的反馈。实时反馈很可能可以减少或消除各级照顾者的危险通气率，带反馈的BVM培训可以提高技能保持能力。因此，开发了一种新的技术和辅助设备，以向受过培训的人员提供实时反馈，并确保他们符合美国心脏协会(AHA)和欧洲复苏委员会(ERC)的指导方针。这个项目是一个全面的系统开发路径，由三个目标组成，将完善我们的传感器系统，并开始研究在BVM使用期间实时反馈的好处。这种方法利用了一种独特的传感器系统，该系统可以连接到袋式阀门面罩上，以测量输送给患者的气压和体积。在每次挤压袋子时使用这些指标，该设备可以实时提醒用户压力和体积过大。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Bag-valve masks are simple, squeezable tools for manual ventilation of patients and are the most common manual method used in both emergencies and routine surgical procedures. The simplicity and minimal cost of BVMs have contributed to their widespread use and sales of approximately 13.1 million disposable resuscitators annually in the U.S. alone. Despite the regular use of BVMs, providers of any training level regularly deliver ineffective ventilation or uncontrolled, inadvertent, forced over-inflation. Studies show that, while using a standard BVM, 88.4% of trained users exceeding the recommended pressure and 73.8% exceeding the recommended volume range2 Improper ventilation for even short periods can lead to two major complications 1) Lung injury from over-stretching (called volutrauma); too much air and 2) Lung injury from over-pressurization (called barotrauma); too much pressure. These conditions can lead to life-threatening conditions as well as prolonged and expensive hospital stays with costs approaching $170,000 (CAD) per injury. When used in emergency situations, execution of proper BVM technique is required to provide optimal oxygenation during CPR. Devices to monitor the depth and rate of CPR compressions are widely available and are soon to be required in all training centers by the AHA. However, no technologies exist to provide similar feedback for manual ventilation. It is likely that real-time feedback can reduce or eliminate the rate of dangerous ventilation among caregivers of all levels and that BVM training with feedback can lead to improved skill retention. Thus, a novel technique and complementary device have been developed to provide real time feedback to trained and training personnel and ensure they meet guidelines from the American Heart Association (AHA) and European Resuscitation Council (ERC). This project is a comprehensive system development pathway composed of three aims that will refine our sensor system and initiate studies into the benefits of real-time feedback during BVM usage. This method utilizes a unique sensor system that can be coupled to a bag valve mask to measure the air pressure and volume delivered to a patient. Using these metrics for each squeeze of the bag, this device can alert users of both excessive pressure and volume in real time.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.