The LIH DDP research team focuses its research topics on vocal biomarkers and Long COVID, among others. Voice is indeed a promising tool to monitor health, as it contains many information on our health and is easy to collect.
The development of vocal biomarkers of Long COVID-related symptoms could improve the remote monitoring of the health status of people affected by this disease.
The LIH developed the Long COVID Companion (LCC) app in collaboration with the ApresJ20 Long COVID patient association in France to support patients in their daily lives. LCC app users will be invited to participate in this study to collect voice recordings at the same time as health-related data.
The objectives of this study are:
Primary objective: To develop vocal biomarker candidates for the main Long COVID symptoms (fatigue, brain fog, respiratory problems, sleep issues, stress, anxiety,..) in a population of people with Long COVID.
Secondary objectives:
* to assess the intra-individual longitudinal evolution of voice characteristics of people with LC * to assess app usability and acceptability in the long-term.
Adult (≥18 years old)
Male or female
People with persisting symptoms related to COVID-19 (With Long COVID diagnosis or not)
Adequate understanding of one of the study languages (English, French, German)
None
All adult people with suspected Long COVID can participate in this study. As the study is completely digital, there are no restriction in terms of living country. All the users of the Long COVID Companion app will be invited to participate in the study (by email or directly in the app). Recruitment will also be done by communications on social media, and by distributing study flyers in the waiting rooms of Long COVID consultations network. Participants to the PrediCOVID study who accepted to be recontacted will also be invited. Information regarding the study will also be disseminated to all people with Long COVID in the database of the Long COVID consultation network in Luxembourg.
Cohort
Prospective
No Intervention: Observational Cohort
Other interventionParticipants will be followed digitally using the LCC app. They will complete questionnaires about their health status and do voice recordings on their own rhythm during the entire study duration.
Fatigue level
Level of fatigue will be assessed regularly using a 0-5 likert scale. Participants will complete these questionnaires when they want during the follow-up.
Fatigue level
Level of fatigue will be assessed regularly using FSS9 questionnaire. Participants will complete these questionnaires when they want during the follow-up.
Voice features
* Source features (e.g., jitter, shimmer) reflecting the origin of voice production * Formant features (e.g., F1, F2, F3 frequencies, bandwidths) representing resonant frequencies of vocal and nasal tracts * Spectral features (e.g., centroid, MFCCs, flatness) capturing frequency distribution at specific moments * Prosody features (e.g., pitch, intensity, speech rate, pause duration) describing rhythm and intonation
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This trial is not recruiting at the moment. You can still explore other options: