Learn More
OBJECTIVE To determine if a smartphone application could be used as a calibrated screening audiometer with real-time noise monitoring for school screening using automated test sequences. DESIGN The investigation comprised three studies. Study 1 evaluated calibration accuracy across four Samsung S5301 smartphones (Android v4.0.4) using commercial(More)
INTRODUCTION Access to ear and hearing health is a challenge in developing countries, where the burden of disabling hearing loss is greatest. This study investigated community-based identification of hearing loss using smartphone hearing screening (hearScreen™) operated by community health workers (CHWs) in terms of clinical efficacy and the reported(More)
A soft output low complexity maximum likelihood sequence estimation (MLSE) equalizer is proposed to equalize M-QAM signals in systems with extremely long memory. The computational complexity of the proposed equalizer is quadratic in the data block length and approximately independent of the channel memory length, due to high parallelism of its underlying(More)
In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves as a trove of information, and will inform the specialist(More)
An iterative maximum likelihood sequence estimation (MLSE) equalizer (detector) with hard outputs, that has a computational complexity quadratic in the data block and the channel length, is proposed. Its performance is compared to the Viterbi MLSE algorithm that has a computational complexity that is linear in the block length and exponential in the channel(More)
OBJECTIVE To evaluate the performance of smartphone-based hearing screening with the hearScreen application in terms of sensitivity, specificity, referral rates, and time efficiency at two primary health care clinics. DESIGN Nonprobability purposive sampling was used at both clinics. A total of 1236 participants (mean age: 37.8 ± SD 17.9 and range 3 to 97(More)
OBJECTIVES The study aimed to determine the validity of a smartphone hearing screening technology (hearScreen™) compared with conventional screening audiometry in terms of (1) sensitivity and specificity, (2) referral rate, and (3) test time. DESIGN One thousand and seventy school-age children in grades 1 to 3 (8 ± 1.1 average years) were recruited from(More)
BACKGROUND Otitis media is one of the most common childhood diseases worldwide, but because of lack of doctors and health personnel in developing countries it is often misdiagnosed or not diagnosed at all. This may lead to serious, and life-threatening complications. There is, thus a need for an automated computer based image-analyzing system that could(More)
In this paper a neural network is used to perform a mapping between Synthetic Aperture Radar (SAR) backscatter information and LiDAR measurements, and the performance of the neural network model is evaluated against that of a multiple linear regression model. Our aim is to find a relationship between SAR backscatter information and the LiDAR tree volume(More)