Na Youngmin, Joo Hyo Sung, Yang Hyejin, Kang Soojin, Hong Sung Hwa, Woo Jihwan
School of Electrical Engineering, Biomedical Engineering, University of Ulsan, Ulsan 680-749, Korea.
Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University, Seoul 330-714, Korea.
Sensors (Basel). 2014 Jun 12;14(6):10346-60. doi: 10.3390/s140610346.
It is important and recommended to detect hearing loss as soon as possible. If it is found early, proper treatment may help improve hearing and reduce the negative consequences of hearing loss. In this study, we developed smartphone-based hearing screening methods that can ubiquitously test hearing. However, environmental noise generally results in the loss of ear sensitivity, which causes a hearing threshold shift (HTS). To overcome this limitation in the hearing screening location, we developed a correction algorithm to reduce the HTS effect. A built-in microphone and headphone were calibrated to provide the standard units of measure. The HTSs in the presence of either white or babble noise were systematically investigated to determine the mean HTS as a function of noise level. When the hearing screening application runs, the smartphone automatically measures the environmental noise and provides the HTS value to correct the hearing threshold. A comparison to pure tone audiometry shows that this hearing screening method in the presence of noise could closely estimate the hearing threshold. We expect that the proposed ubiquitous hearing test method could be used as a simple hearing screening tool and could alert the user if they suffer from hearing loss.
尽早发现听力损失很重要且值得推荐。如果能早发现,适当的治疗可能有助于改善听力并减少听力损失的负面影响。在本研究中,我们开发了基于智能手机的听力筛查方法,该方法可以随时随地进行听力测试。然而,环境噪声通常会导致耳朵敏感度下降,从而引起听力阈值偏移(HTS)。为了克服听力筛查地点的这一限制,我们开发了一种校正算法来减少HTS效应。对内置麦克风和耳机进行了校准,以提供标准测量单位。系统地研究了在白噪声或嘈杂噪声存在时的HTS,以确定作为噪声水平函数的平均HTS。当听力筛查应用程序运行时,智能手机会自动测量环境噪声并提供HTS值以校正听力阈值。与纯音听力测试的比较表明,这种在噪声存在情况下的听力筛查方法可以紧密估计听力阈值。我们期望所提出的随时随地听力测试方法可以用作简单的听力筛查工具,并能在用户患有听力损失时发出警报。