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Smartphone monitoring of in-ambulance vibration and noise
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine ( IF 1.8 ) Pub Date : 2021-01-09 , DOI: 10.1177/0954411920985994
Tom Partridge 1 , Lorelei Gherman 1 , David Morris 1 , Roger Light 1 , Andrew Leslie 2 , Don Sharkey 3 , Donal McNally 1 , John Crowe 1
Affiliation  

Transferring sick premature infants between hospitals increases the risk of severe brain injury, potentially linked to the excessive exposure to noise, vibration and driving-related accelerations. One method of reducing these levels may be to travel along smoother and quieter roads at an optimal speed, however this requires mass data on the effect of roads on the environment within ambulances. An app for the Android operating system has been developed for the purpose of recording vibration, noise levels, location and speed data during ambulance journeys. Smartphone accelerometers were calibrated using sinusoidal excitation and the microphones using calibrated pink noise. Four smartphones were provided to the local neonatal transport team and mounted on their neonatal transport systems to collect data. Repeatability of app recordings was assessed by comparing 37 journeys, made during the study period, along an 8.5 km single carriageway. The smartphones were found to have an accelerometer accurate to 5% up to 55 Hz and microphone accurate to 0.8 dB up to 80 dB. Use of the app was readily adopted by the neonatal transport team, recording more than 97,000 km of journeys in 1 year. To enable comparison between journeys, the 8.5 km route was split into 10 m segments. Interquartile ranges for vehicle speed, vertical acceleration and maximum noise level were consistent across all segments (within 0.99 m . s−1, 0.13 m · s−2 and 1.4 dB, respectively). Vertical accelerations registered were representative of the road surface. Noise levels correlated with vehicle speed. Android smartphones are a viable method of accurate mass data collection for this application. We now propose to utilise this approach to reduce potential harmful exposure, from vibration and noise, by routing ambulances along the most comfortable roads.



中文翻译:

智能手机监测救护车内的振动和噪音

在医院之间转移生病的早产儿会增加严重脑损伤的风险,这可能与过度暴露于噪音、振动和与驾驶相关的加速度有关。降低这些水平的一种方法可能是以最佳速度沿着更顺畅、更安静的道路行驶,但这需要有关道路对救护车内环境影响的大量数据。已开发出适用于 Android 操作系统的应用程序,用于记录救护车旅途中的振动、噪音水平、位置和速度数据。智能手机加速度计使用正弦激励校准,麦克风使用校准粉红噪声校准。向当地新生儿运输团队提供了四部智能手机,并安装在他们的新生儿运输系统上以收集数据。通过比较研究期间沿 8.5 公里单行车道进行的 37 次旅程,评估了应用程序记录的可重复性。发现这些智能手机的加速度计精度高达 55 Hz,精度为 5%,麦克风精度为 0.8 dB,精度高达 80 dB。新生儿运输团队很容易使用该应用程序,在 1 年内记录了超过 97,000 公里的旅程。为了能够在旅程之间进行比较,将 8.5 公里的路线分成 10 米。车速、垂直加速度和最大噪音水平的四分位间距在所有路段中保持一致(在 0.99 m . s 新生儿运输团队很容易使用该应用程序,在 1 年内记录了超过 97,000 公里的旅程。为了能够在旅程之间进行比较,将 8.5 公里的路线分成 10 米。车速、垂直加速度和最大噪音水平的四分位间距在所有路段中保持一致(在 0.99 m . s 新生儿运输团队很容易使用该应用程序,在 1 年内记录了超过 97,000 公里的旅程。为了能够在旅程之间进行比较,将 8.5 公里的路线分成 10 米。车速、垂直加速度和最大噪音水平的四分位间距在所有路段中保持一致(在 0.99 m . s-1、0.13 m·s -2和 1.4 dB)。记录的垂直加速度代表路面。噪音水平与车速相关。Android 智能手机是此应用程序精确质量数据收集的可行方法。我们现在建议利用这种方法,通过沿最舒适的道路安排救护车路线来减少振动和噪音带来的潜在有害暴露。

更新日期:2021-01-10
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