An artificial patient for pure-tone audiometry

• Main Authors: Alexander Kocian, Guido Cattani, Stefano Chessa, Wilko Grolman
• Format: Article
• Language: English
• Published: SpringerOpen 2018-07-01
• Series: EURASIP Journal on Audio, Speech, and Music Processing
• Subjects: Pure-tone audiometry; Real time; Signal processing; Noise injection; On-off keying
• Online Access: http://link.springer.com/article/10.1186/s13636-018-0131-y

Abstract The successful treatment of hearing loss depends on the individual practitioner’s experience and skill. So far, there is no standard available to evaluate the practitioner’s testing skills. To assess every practitioner equally, the paper proposes a first machine, dubbed artificial patient (AP), mimicking a real patient with hearing impairment operating in real time and real environment. Following this approach, we develop a multiple-input multiple-output auditory model that synthesizes various types of hearing loss as well as elements from psychoacoustics such as false response and reaction time. The model is then used to realize a hardware implementation, comprising acoustic and vibration sensors, sound cards, and a fanless personal computer. The AP returns a feedback signal to the practitioner upon perceiving a valid test tone at the hearing threshold analogous to a real patient. The AP is derived within a theoretical framework in contrast to many other solutions. The AP handles masked air-conduction and bone-conduction hearing levels in the range from 5 to 80 dB and from – 20 to 70 dB, respectively, both at 1 kHz. The frequency range is confined within 250 and 8000 Hz. The proposed approach sets a new quality standard for evaluating practitioners.