TY - GEN
T1 - Intelligent smartphone audiometry
AU - Kocian, Alexander
AU - Ienco, Carmelo
AU - Chessa, Stefano
AU - Grolman, Wilko
N1 - Funding Information:
As the audiometric test results have significant influence on the educational, occupational and social life of the patient, it is critical that the diagnostic techniques and procedures are standardized. There are three standardized diagnostic techniques that are used by the majority of the audiologists: (i) by ASHA (American Speech-Language-Hearing Association), (ii) by BSA (British Society of Audiology) and (iii) by IHS (International Hearing Society) []. This paper presents the system architecture of an Android application that allows the user to perform a low-cost automatic audiometric hearing test based on the BSA hearing standard. In contrast to existing solutions, the software application performs AC and BC hearing tests with commercial off-the-shelf (COT) components following a standard. The paper is the result of a larger project funded by the University Medical Center Utrecht (UMCU), Utrecht, The Netherlands [].
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The continuously aging population in the majority of industrialized nations challenges the healthcare providers to maintain quality of healthcare services at status quo. To make health care sustainable, the paradigm Ambient Intelligence can be used to exploit information and telecommunication technology for the development of autonomous healthcare services. Following this approach, we design and implement a virtual audiologist dubbed ViA, performing air-conduction and bone-conduction hearing tests based on a standard in contrast to existing solutions. The software platform is Android. In this paper, we present the system architecture of ViA with focus on the Android platform and discuss calibration issues. First test results in office environment indicate that a large range of hearing thresholds can be reproduced on different smartphones within a band of 9 dB. ViA has the potential to identify individuals with correctable hearing loss without putting extra load on the healthcare providers.
AB - The continuously aging population in the majority of industrialized nations challenges the healthcare providers to maintain quality of healthcare services at status quo. To make health care sustainable, the paradigm Ambient Intelligence can be used to exploit information and telecommunication technology for the development of autonomous healthcare services. Following this approach, we design and implement a virtual audiologist dubbed ViA, performing air-conduction and bone-conduction hearing tests based on a standard in contrast to existing solutions. The software platform is Android. In this paper, we present the system architecture of ViA with focus on the Android platform and discuss calibration issues. First test results in office environment indicate that a large range of hearing thresholds can be reproduced on different smartphones within a band of 9 dB. ViA has the potential to identify individuals with correctable hearing loss without putting extra load on the healthcare providers.
UR - http://www.scopus.com/inward/record.url?scp=85021684392&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-61118-1_15
DO - 10.1007/978-3-319-61118-1_15
M3 - Conference contribution
AN - SCOPUS:85021684392
SN - 9783319611174
VL - 615
T3 - Advances in Intelligent Systems and Computing
SP - 112
EP - 120
BT - Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence, ISAmI 2017
PB - Springer-Verlag
T2 - 8th International Symposium on Ambient Intelligence, ISAmI 2017
Y2 - 21 June 2017 through 23 June 2017
ER -