DOI: 10.5281/zenodo.7760170
title: Smarty4Covid Dataset

description: <strong>Overview</strong> Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has greatly attracted the scientific and research interest especially during COVID-19 pandemic. The smarty4covid dataset contains audio signals of cough (4,676), regular breathing (4,665), deep breathing (4,695) and voice (4,291) as recorded by means of mobile devices following a crowd-sourcing approach. Other self reported information is also included (e.g. COVID-19 virus tests), thus providing a comprehensive dataset for the development of COVID-19 risk detection models. The smarty4covid dataset is released in the form of a web-ontology language (OWL) knowledge base enabling data consolidation from other relevant datasets, complex queries and reasoning. <strong>Data structure</strong> The main directory is organized as shown below. Each directory contains the submissions of a specific user. The user directory is named after the user’s id. Apart from the submissions, a json file (“demographics_underlying_conditions.json”) with information regarding demographics (e.g. BMI, age group, gender) and potential underlying conditions is also included. Each submission corresponds to a separate sub-directory that is named after the unique submission id and it contains: 1. Audio recordings of cough (“audio.cough.mp3”), deep breathing (“audio.breath_deep.mp3”) and regular breathing (“audio.breath_regular.mp3”) 2. A json file (“main_questionnaire.json”) with information related to the COVID-19 test (result, type, and date), COVID-19 vaccination status, COVID-19 related symptoms, vital signs and more 3. A json file (“breathing_features.json”) with the extracted respiratory indicators and the manual annotations of the breathing phases (inhalation, exhalation) on the breathing audio signal 4. Four json files (“experts.breath.json”, “experts.cough.json”, “experts.medical_advice.json”, “experts.speech.json”) including the input/labels (characterization, advice) from the healthcare professionals. Finally, there is also a csv file “smarty4covid_tabular_data.csv”. This file contains any information available for every submission in the dataset. A detailed description of the various JSON files and their fields is provided in "smarty4covid_overview.pdf" file. ├── ...<br> ├── &lt;ParticipantID&gt;<br> │ ├── demographics_underlying_conditions.json<br> │ ├── &lt;SubmissionId1&gt;<br> │ │ ├── audio.breath_regular.mp3<br> │ │ ├── audio.breath_deep.mp3<br> │ │ ├── audio.cough.mp3<br> │ │ ├── main_questionnaire.json<br> │ │ ├── breathing_features.json<br> │ │ ├── experts.breath.json<br> │ │ ├── experts.cough.json<br> │ │ ├── experts.medical_advice.json<br> │ │ └── experts.speech.json<br> │ ├── ...<br> │ └── &lt;SubmissionIdN&gt;<br> │ ├── audio.breath_regular.mp3<br> │ ├── audio.breath_deep.mp3<br> │ ├── audio.cough.mp3<br> │ ├── main_questionnaire.json<br> │ ├── breathing_features.json<br> │ ├── experts.breath.json<br> │ ├── experts.cough.json<br> │ ├── experts.medical_advice.json<br> │ └── experts.speech.json<br> ├── ...<br> ├── smarty4covid_tabular_data.csv<br> ├── smarty4covid_overview.pdf<br> ├── smarty-ontology.owl<br> ├── smarty-triples.nt<br> ├── Smarty4Covid experts info.xlsx<br> └── readme.xlsx