Understanding acceptance of contactless monitoring technology in home-based dementia care: a cross-sectional survey study among informal caregivers by Christian Wrede, Annemarie Braakman-Jansen, Lisette van Gemert-Pijnen

“…RF-based sensors (e.g., radar) and light sensors were considered most acceptable, whereas camera-based sensors and audio sensors (e.g., microphones, smart speakers) were seen as least acceptable for home-based dementia care. …”
Get full text

Is Characteristic Frequency Limiting Real-Time Electrocochleography During Cochlear Implantation? by Amit Walia, Matthew A. Shew, Shannon M. Lefler, Dorina Kallogjeri, Cameron C. Wick, Timothy A. Holden, Nedim Durakovic, Amanda J. Ortmann, Jacques A. Herzog, Craig A. Buchman

“…The purpose of the study was (1) to determine whether a 250-Hz stimulus is superior to 500-Hz in detecting residual hearing decrement and if so; (2) to evaluate whether crossing the 500-Hz tonotopic, characteristic frequency (CF) place partly explains the problems experienced using 500-Hz.DesignMultifrequency ECochG comprising an alternating, interleaved acoustic complex of 250- and 500-Hz stimuli was used to elicit cochlear microphonics (CMs) during insertion. The largest ECochG drops (≥30% reduction in CM) were identified. …”
Get full text

Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG) by Vessela Krasteva, Ivo Iliev, Serafim Tabakov

“…This study is focused on sonified ECG modality, which can be transmitted as an acoustic wave and received by GSM (Global System for Mobile Communications) microphones. Thus, the wireless connection between the patient module and the cloud server can be provided over an audio channel, such as a standard telephone call or audio message. …”
Get full text

Toward Audio Beehive Monitoring: Deep Learning vs. Standard Machine Learning in Classifying Beehive Audio Samples by Vladimir Kulyukin, Sarbajit Mukherjee, Prakhar Amlathe

“…In this investigation, we designed several convolutional neural networks and compared their performance with four standard machine learning methods (logistic regression, k-nearest neighbors, support vector machines, and random forests) in classifying audio samples from microphones deployed above landing pads of Langstroth beehives. …”
Get full text

A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice by Dengsheng Sun, Laura Webb, P. P. J. van der Tol, Kees van Reenen, Kees van Reenen

“…At stage one, automatic feeding stations, accelerometers, infrared thermography cameras, microphones, and 3-D cameras are accurate in screening behavior and physiology in calves. …”
Get full text

Similarities and Differences Between Vestibular and Cochlear Systems – A Review of Clinical and Physiological Evidence by Ian S. Curthoys, John Wally Grant, Christopher J. Pastras, Laura Fröhlich, Daniel J. Brown

“…In section “ELECTROPHYSIOLOGY” we show how cochlear and vestibular receptors and afferents have many similar electrophysiological characteristics [e.g., both generate microphonics, summating potentials, and compound action potentials (the vestibular evoked potential, VsEP)]. …”
Get full text

Crowd-supervised training of spoken language systems by McGraw, Ian C. (Ian Carmichael)

Get full text

Mouth-clicks used by blind expert human echolocators – signal description and model based signal synthesis by Thaler, Lore, Reich, Galen M., Zhang, Xinyu, Wang, Dinghe, Smith, Graeme E., Tao, Zeng, Raja Abdullah, Raja Syamsul Azmir, Cherniakov, Mikhail, Bake, Christopher J., Kish, Daniel, Antoniou, Michail

“…Relatedly, the data are a basis to develop synthetic models of human echolocation that could be virtual (i.e. simulated) or real (i.e. loudspeaker, microphones), and which will help understanding the link between physical principles and human behaviour.…”
Get full text

Deeply Trained Real-Time Body Sensor Networks for Analyzing the Symptoms of Parkinson’s Disease by Rajasoundaran Soundararajan, A. V. Prabu, Sidheswar Routray, Prince Priya Malla, Arun Kumar Ray, Gopinath Palai, Osama S. Faragallah, Mohammed Baz, Matokah M. Abualnaja, Mohamoud M. A. Eid, Ahmed Nabih Zaki Rashed

“…The environment of OHPAS sets up acoustic sensors (UT-PF), microphones (MC-1500 unit), and multimodal sensor units (MC-10 sensor). …”
Get full text

Objectification of intracochlear electrocochleography using machine learning by Klaus Schuerch, Klaus Schuerch, Wilhelm Wimmer, Wilhelm Wimmer, Adrian Dalbert, Christian Rummel, Marco Caversaccio, Marco Caversaccio, Georgios Mantokoudis, Stefan Weder

“…The aim of this study was to automate and objectify the analysis of cochlear microphonic (CM) signals in ECochG recordings.MethodsProspective cohort study including 41 implanted ears with residual hearing. …”
Get full text

Vibration analysis and noise mapping of automotive radiator system by Nur Farizah Diana, Abdul Razak

“…The measurement of vibrations used an accelerometer as a sensor while noise analysis is carried out by utilizing sound intensity mapping method where ½ inch a pair of microphones is used as a sensor. In vibration analysis, the vibration result increases 4-18 % when the coolant flow rate increases due to the dynamic motion of fluid flow inside the radiator’s tube increases. …”
Get full text

Automatic adventitious respiratory sound analysis: A systematic review. by Renard Xaviero Adhi Pramono, Stuart Bowyer, Esther Rodriguez-Villegas

“…Instrumentation used to collect data included microphones, stethoscopes, and accelerometers. Several references obtained data from online repositories or book audio CD companions. …”
Get full text

Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination by B. J. Ferdosi, M. Rahman, A. M. Sakib, T. Helaly

“…Most of them are very resource-intensive; along with a webcam, they require additional hardware such as sensors, microphones, and security cameras. In this work, we propose an automated proctoring solution for paper- and pen-based online exams considering specific requirements of pen-and-paper exams. …”
Get full text

COMPARISON OF TWO DIFFERENT WARM-UP TASKS, USING A NEW TOOL ALSO by Tamás J. ALTORJAY, Csaba CSÍKOS

“…With the help of a stage, the microphones were held before the mouth of every participant, the same – 10cm – distance. …”
Get full text

Bilateral and multiple cavitation sounds during upper cervical thrust manipulation by Dunning James, Mourad Firas, Barbero Marco, Leoni Diego, Cescon Corrado, Butts Raymond

“…</p> <p>Methods</p> <p>Nineteen asymptomatic participants received two upper cervical thrust manipulations targeting the right and left C1-2 articulation, respectively. Skin mounted microphones were secured bilaterally over the transverse process of C1, and sound wave signals were recorded. …”
Get full text

Sea ice thickness from air-coupled flexural waves by R. Romeyn, A. Hanssen, B. O. Ruud, T. A. Johansen, T. A. Johansen

“…The results of this study and further examples from lake ice suggest the possibility of non-contact estimation of ice thickness using simple, inexpensive microphones located above the ice sheet or along the shoreline. …”
Get full text

Enhancing poultry health management through machine learning-based analysis of vocalization signals dataset by Segun Adebayo, Halleluyah O. Aworinde, Akinwale O. Akinwunmi, Olufemi M. Alabi, Adebamiji Ayandiji, Aderonke B. Sakpere, Adetoye Adeyemo, Abel K. Oyebamiji, Oke Olaide, Echentama Kizito

“…To eliminate extraneous sounds and background noise that might affect the analysis, microphones were set a reasonable distance away from the birds. …”
Get full text

Sensor(y) Landscapes : technologies for new perceptual sensibilities by Dublon, Gershon

Get full text

Interpreting otoacoustic emissions in humans : evidence for multiple generating mechanisms by Kalluri, Radha

Get full text
Get full text

A low-power cochlear implant system by Baker, Michael W. (Michael Warren), 1977-

Get full text