Portable Hearing Laboratory - CRP

在母公司的第二阶段项目(R44DC016247；PI：C.Pavlovic)中，我们成功地开发了 用于开发和测试新助听器技术的便携式平台。这场便携听证会 实验室，或称PHL，现在已经被收购，并被一些顶尖大学使用 实验室和其他研究中心，他们的反馈非常积极。这个 设备具有中央单元(BatAndCat Box)，它提供适当和完整的 助听器环境，用于开发新算法。许多现实的界面也具有 已提供。这包括我们设计的极高质量的BTE系统；ITE 系统，以及用于典型可穿戴设备的适当接口电路(例如； 通过线路输入的耳机)。最后，一款智能手机应用程序的界面既可用于 研究人员和受试者。该系统运行大师甜蜜开发的助听器 同时在R01DC015429(PI、Hohmann和Pavlovic)。在此次CRP续订中，我们将 实现以下目标： 1.实施各种卓越设计措施(DFX)和超现代制造 以最低的产品成本获得最高的产品质量。这将使 该产品对于大型临床研究来说是负担得起的，对于一些消费者销售也是潜在的。 2.为了应对最近可获得的和最近的研究需求， 能够开发依赖于机器学习的算法的处理能力， 我们计划将设备的处理能力提高至少10倍，可能是20倍 倍，通过将处理器核心改为多核系统。 3.引入现代低延迟盲化技术，通过利用fi实现高效降噪 远程麦克风和机器学习。 4.从噪声中提取语音的另一个补充要求是能够告知 收听者实际正在收听的系统。这将通过提供以下内容来实现 PHL是外部多传感器阵列的接口装置，如EEG、OEG等. 5.执行电气和机械设计更改，大幅缩小尺寸和 设备的重量。这不仅是一种更容易被接受的长期临床设备 试验，但也将为该设备打开一个直接面向消费者的二级市场。 6.我们的坚定决心是为广大的测试版网站提供持续的支持 在各种设置下进一步测试该设备。我们认为这是最好的办法 达到完美。

In the parent Phase II project (R44DC016247; PI: C. Pavlovic) we successfully developed a portable platform for developing and testing new hearing aid technology. This Portable Hearing Laboratory, or PHL, has now been acquired and is being used by a number of leading university laboratories and other research centers and their feedback has been extremely positive. The device features a central unit (BatAndCat Box) which provides an appropriate and complete hearing aid ambient for developing new algorithms. A number of realistic interfaces has also been provided. This includes an extremely high quality BTE system we designed; an ITE system adapted by us, as well as an appropriate interface circuitry for typical wearables (e.g; headsets via the line input). Finally, a smart phone app features interfaces both for the researcher and the subject. The system runs the Master Hearing aid sweet developed concurrently in R01DC015429 (PIs Hohmann and Pavlovic). In this CRP renewal we will achieve the following goals: 1. Implement various Design for Excellence Measures (DFX) and super modern manufacturing technology to obtain the highest product quality at the lowest product cost. This would make the product affordable for large clinical studies and, potentially, for some consumer sales. 2. In response to the recent availability of, and the recent research demand for, a far greater processing power to enable the development of algorithms which rely on machine learning, we plan to increase the processing power of the device by at least 10 times, and likely 20 times, by changing the processor core to a multicore system. 3. Introduce modern low-latency BLE technology to enable efficient noise reduction by utilizing remote microphones and machine learning. 4. The other complementary requirement to extract speech from noise is being able to inform the system whom the listener is actually listening to. This will be achieved by providing on the PHL the interface means for external multi-sensor arrays such as EEG, OEG, etc. 5. Execute electrical and mechanical design changes dramatically reducing the size and weight of the device. This would not only be a much more acceptable device for long clinical trials, but would also open up a direct-to-consumer, secondary market for the device. 6. It is our strong determination to provide continuous support to the Beta sites for extensive further testing of the device in a variety of settings. We consider this the best means to reach the perfection.