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Acoustic Analytic Apps for Smart Telehealth Screening - Creating a Big Data

Acoustic Analytic Apps for Smart Telehealth Screening - Creating a Big Data

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03169699
Enrollment
600
Registered
2017-05-30
Start date
2017-02-01
Completion date
2018-03-31
Last updated
2017-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cough, Cough; Bronchial, With Grippe or Influenza, Cough Variant Asthma, URTI

Brief summary

To develop and validate a library of cough spectrum from a target of 1000 cough acoustics. Coughs arising from upper respiratory infection, lower chest infections, asthma, allergic conditions are included in the study. Cough acoustic in absence of respiratory disease is also included. This is a prospective observation cohort study recruiting children below the age of 16 years old in 2 arms : (1) Patients with respiratory conditions presenting with cough and (2) Well patients without active coughing.

Detailed description

Cough is a common presentation in childhood. It is one of the early symptom of respiratory disease such as upper respiratory tract infection, cough variant asthma, allergic rhinitis, bronchitis and pneumonia. These conditions are common ailments in childhood. The history of cough and description of cough given by caretakers and patients are often vague and assessment of cough quality is often subjective. The quality of cough is often assigned a dichotomous category of dry cough and wet cough. Computer assisted cough analysis has been developed in recent years to aid subjective classification of cough. The sound spectrum and frequencies of cough is being researched to better define the quality of cough. The quality of cough gives meaningful information about the state of the respiratory status. Cough sound analysis has been shown to rapidly diagnose pneumonia in humans using cough sound analysis and in differentiating wet and dry cough. The investigators hypothesize that each respiratory pathology will have its spectral cough characteristics. Analysis of cough spectrum and comparing to a library of cough spectra data will be able to aid differentiation of the underlying conditions for the various cough spectrum and hence facilitating management. The study aim is to develop a computer processing technique of cough sounds and determine their spectral characteristics for the common causes of cough to derive an assisted assay of cough spectrum for an objective assessment of cough.

Interventions

None listed

Sponsors

Singapore University of Technology and Design
CollaboratorUNKNOWN
KK Women's and Children's Hospital
Lead SponsorOTHER_GOV

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 16 Years
Healthy volunteers
Yes

Inclusion criteria

* Cough arm 1.Children age 16 years old and below with cough at presentation- Patients presenting with active or chronic or residual cough Well arm 1.Children age 16 years old and below and Well with no cough presentation.

Exclusion criteria

1. Children with severe behavioral 2. Droplet isloated cases as determined by protocol of hospital

Design outcomes

Primary

MeasureTime frameDescription
Acute phase acoustic spectrum AnalysisDay 0-7Acoustic classifiers

Secondary

MeasureTime frameDescription
Recovery or Chronic phase acoustic spectrum analysisDay 7-30Acoustic classifiers

Countries

Singapore

Contacts

Primary ContactHwan Ing Hee, MBBCH BAO
hee.hwan.ing@singhealth.com.sg65-81252657
Backup ContactNur Diyanah Siti
Siti.Nur.Diyanah@kkh.com.sg65-63948459

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026