Skip to content
Computational Audiology
  • Home
    • Introduction to Computational Audiology
    • Computational Audiology: new ways to address the global burden of hearing loss
    • AI’s Latest Frontier part 3: an AI chatbot for audiology
    • Funding
    • Resources
    • Research agenda & Mission
  • VCCA2023
    • VCCA2023 – Overview
    • VCCA2023 Conference Report
    • Recap of VCCA2023
    • VCCA2023 -Program Highlights
    • VCCA2023 – Conference Program
    • VCCA2023 Abstracts
    • VCCA2023 – Pitch videos
    • VCCA2023 – Registration
    • VCCA2023 – Call for abstracts
    • VCCA2023 – Scientific Committee
    • VCCA2023 – Organization
    • VCCA2023 – Sponsors
  • VCCA2022
    • VCCA2022 – Overview
    • VCCA2022 -Program Highlights
    • VCCA2022 – Program
    • VCCA2022 -Why a virtual conference?
    • VCCA2022 – Call for abstracts
    • VCCA2022 -Registration
    • VCCA2022 – Scientific Committee
    • VCCA2022 – Organization
    • VCCA2022 -Sponsors
  • VCCA2021
    • VCCA2021 -Overview
    • VCCA2021 -Program Highlights
    • VCCA2021 – Video Pitches
    • VCCA2021 – Conference Program
    • VCCA2021 -abstracts
    • VCCA2021 -Registration
    • VCCA2021 -Scientific Committee
    • VCCA2021 -Organization
    • VCCA2021 -Sponsors
  • VCCA2020
    • VCCA2020 -introduction
    • VCCA2020 -Why a virtual conference?
    • VCCA2020 -Scientific Committee
    • VCCA2020 -Organization
    • VCCA2020 -program
    • VCCA2020 – Registration
    • VCCA2020 -social events
    • VCCA2020 – COVID resilience
    • VCCA2020 -sponsors
  • For Professionals
    • Resources
    • Repositories (Zenodo)
    • Automated Audiometry
    • Events
    • Computational Audiology TV
    • Job Opportunities
    • Funding
  • About
Menu Close
  • Home
    • Introduction to Computational Audiology
    • Computational Audiology: new ways to address the global burden of hearing loss
    • AI’s Latest Frontier part 3: an AI chatbot for audiology
    • Funding
    • Resources
    • Research agenda & Mission
  • VCCA2023
    • VCCA2023 – Overview
    • VCCA2023 Conference Report
    • Recap of VCCA2023
    • VCCA2023 -Program Highlights
    • VCCA2023 – Conference Program
    • VCCA2023 Abstracts
    • VCCA2023 – Pitch videos
    • VCCA2023 – Registration
    • VCCA2023 – Call for abstracts
    • VCCA2023 – Scientific Committee
    • VCCA2023 – Organization
    • VCCA2023 – Sponsors
  • VCCA2022
    • VCCA2022 – Overview
    • VCCA2022 -Program Highlights
    • VCCA2022 – Program
    • VCCA2022 -Why a virtual conference?
    • VCCA2022 – Call for abstracts
    • VCCA2022 -Registration
    • VCCA2022 – Scientific Committee
    • VCCA2022 – Organization
    • VCCA2022 -Sponsors
  • VCCA2021
    • VCCA2021 -Overview
    • VCCA2021 -Program Highlights
    • VCCA2021 – Video Pitches
    • VCCA2021 – Conference Program
    • VCCA2021 -abstracts
    • VCCA2021 -Registration
    • VCCA2021 -Scientific Committee
    • VCCA2021 -Organization
    • VCCA2021 -Sponsors
  • VCCA2020
    • VCCA2020 -introduction
    • VCCA2020 -Why a virtual conference?
    • VCCA2020 -Scientific Committee
    • VCCA2020 -Organization
    • VCCA2020 -program
    • VCCA2020 – Registration
    • VCCA2020 -social events
    • VCCA2020 – COVID resilience
    • VCCA2020 -sponsors
  • For Professionals
    • Resources
    • Repositories (Zenodo)
    • Automated Audiometry
    • Events
    • Computational Audiology TV
    • Job Opportunities
    • Funding
  • About

Data Logger

  1. Home>
  2. Data Logger

Datalog: monitoring tool for electronic devices

  • Post comments:0 Comments
  • Post published:June 9, 2023
  • Post category:Data Logger/VCCA2023 ABSTRACTs

Datalog: a tool for monitoring the use of amplification devices

Continue ReadingDatalog: monitoring tool for electronic devices

Recent Posts

  • Quarterly update Q11
  • VCCA2023 Conference Report
  • Embedding the patient voice in artificial intelligence for hearing care: the role of patient-reported outcomes
  • Recap of VCCA2023
  • Evaluation of a new VR-based hearing device fine-tuning procedure

Recent Comments

  • arun on The acoustic change complex predictive validation (ACCEPT) study to predict speech perception
  • admin on Wikiversity and e-Audiology: developing a MOOC in Audiology
  • Lana Biot on The acoustic change complex predictive validation (ACCEPT) study to predict speech perception

Fastest Updates!

Get all news to your email quick and easy.
Email is required Email is not valid
This field is required
Thanks for your subscription.
Failed to subscribe, please contact admin.

Recent Jobs

R&D jobs at Apple’s Audio Algorithms team

More Details

Categories

  • AI and Music (4)
  • AI for auditory implants (7)
  • ARO2021 (2)
  • Auditory Testing Interface (1)
  • Big Data in Audiology (19)
  • Children (1)
  • Cochlear Implant (7)
  • Cochlear Model (1)
  • Computational Infrastructure (7)
  • Computational Models (38)
  • Cortical Auditory Evoked Potentials (CAEPs) (2)
  • COVID-19 (5)
  • Data Logger (1)
  • DNN (4)
  • e-Audiology (26)
  • EEG (3)
  • Featured talks (41)
  • Frequency Selectivity (1)
  • Hearing Aid (5)
  • Hearing Health Training (4)
  • Hearing Impairment (1)
  • Hearing Test (7)
  • Machine Learning for Audiology (32)
  • Microcontroller (1)
  • Multi-layer Perceptrons (MLP) (1)
  • Music (1)
  • NAO Robot (1)
  • Podcast (3)
  • Questionnaire (1)
  • Smart Phone (4)
  • SNHL (1)
  • Spatial Hearing (1)
  • Speech Enhancement (5)
  • Speech-To-Text (1)
  • Tinnitus (6)
  • VCCA2020 ABSTRACTS (32)
  • VCCA2021 ABSTRACTS (34)
  • VCCA2023 ABSTRACTs (53)
  • Vibrotactile (1)
  • VR in audiology (3)
  • INTRO & KICK-OFF
  • MAIN SESSION 1 Sydney
  • SPECIAL SESSION A
  • MAIN SESSION 2 Pretoria 1
  • SPECIAL SESSION C & D
  • MAIN SESSION 3 Irvine 1
  • PARALLEL SESSION C6 & C7
  • MAIN SESSION 4 Sydney 2
  • AWARDS & WRAP-UP

Recent Posts

  • Quarterly update Q11
    Quarterly update Q11
    September 19, 2023/
    0 Comments
  • VCCA2023 Conference Report
    VCCA2023 Conference Report
    August 13, 2023/
    0 Comments
  • Embedding the patient voice in artificial intelligence for hearing care: the role of patient-reported outcomes
    Embedding the patient voice in artificial intelligence for hearing care: the role of patient-reported outcomes
    July 9, 2023/
    0 Comments

Recent Comments

  • arun on The acoustic change complex predictive validation (ACCEPT) study to predict speech perception
  • admin on Wikiversity and e-Audiology: developing a MOOC in Audiology
  • Lana Biot on The acoustic change complex predictive validation (ACCEPT) study to predict speech perception
  • Ken Grant on The acoustic change complex predictive validation (ACCEPT) study to predict speech perception
  • Karrie Recker on AI’s Latest Frontier part 2: AI chatbots and clinical audiology

Fastest Updates!

Get all news to your email quick and easy.
Email is required Email is not valid
This field is required
Thanks for your subscription.
Failed to subscribe, please contact admin.

Categories

  • AI and Music
  • AI for auditory implants
  • ARO2021
  • Auditory Testing Interface
  • Big Data in Audiology
  • Children
  • Cochlear Implant
  • Cochlear Model
  • Computational Infrastructure
  • Computational Models
  • Cortical Auditory Evoked Potentials (CAEPs)
  • COVID-19
  • Data Logger
  • DNN
  • e-Audiology
  • EEG
  • Featured talks
  • Frequency Selectivity
  • Hearing Aid
  • Hearing Health Training
  • Hearing Impairment
  • Hearing Test
  • Machine Learning for Audiology
  • Microcontroller
  • Multi-layer Perceptrons (MLP)
  • Music
  • NAO Robot
  • Podcast
  • Questionnaire
  • Smart Phone
  • SNHL
  • Spatial Hearing
  • Speech Enhancement
  • Speech-To-Text
  • Tinnitus
  • VCCA2020 ABSTRACTS
  • VCCA2021 ABSTRACTS
  • VCCA2023 ABSTRACTs
  • Vibrotactile
  • VR in audiology
Copyright 2023 - Computational Audiology

Disclaimer: the content of this website may or may not reflect the opinion of the owner. The information at computationalaudiology.com is not intended to replace the services of a trained legal or health professional. The owner and contributors specifically disclaim any liability, loss or risk, personal or otherwise, which is incurred as a consequence, directly or indirectly, of the use and application of any of the contents of this website.


Powered by Iris Digitalis
>