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

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.

Study Overview

• Status: Unknown
• Conditions: Cough; URTI; Cough Variant Asthma; Cough; Bronchial, With Grippe or Influenza

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.

• Study Type: Observational
• Enrollment (Anticipated): 600

Contacts and Locations

Study Locations

• Singapore
  • Singapore, Singapore, 229899
    • Recruiting
    • KKWCH
    • Contact: Siti Nur Diyanah; Phone Number: 8459 65-63948459; Email: Siti.Nur.Diyanah@kkh.com.sg
    • Contact: Hwan Ing Hee; Phone Number: 3019 65-63943019; Email: hee.hwan.ing@singhealth.com.sg
    • Principal Investigator: Hwan Ing Hee, MBBCH BAO

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: No older than 16 years (Child)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

This is a prospective observation cohort study will recruit children below the age of 16 years old.

There will be 2 arms : (1) Patients with respiratory conditions presenting with cough and (2) well patient without cough.

Description

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

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
Cough Arm; Children age 16 years old and below with cough at presentation - Patients presenting with active or chronic or residual cough
Well Arm; Children age 16 years old and below and Well with no presentation of cough

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Acute phase acoustic spectrum Analysis	Acoustic classifiers	Day 0-7

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Recovery or Chronic phase acoustic spectrum analysis	Acoustic classifiers	Day 7-30

Collaborators and Investigators

• Sponsor: KK Women's and Children's Hospital
• Collaborators: Singapore University of Technology and Design
• Investigators: Principal Investigator: Hwan Ing Hee, MBBCH BAO, KK Women's and Children's Hospital

Publications and helpful links

General Publications

• B T B, Hee HI, Teoh OH, Lee KP, Kapoor S, Herremans D, Chen JM. Asthmatic versus healthy child classification based on cough and vocalised /a:/ sounds. J Acoust Soc Am. 2020 Sep;148(3):EL253. doi: 10.1121/10.0001933.

Study record dates

Study Major Dates

• Study Start (Actual): February 1, 2017
• Primary Completion (Anticipated): March 31, 2018
• Study Completion (Anticipated): March 31, 2018

Study Registration Dates

• First Submitted: May 25, 2017
• First Submitted That Met QC Criteria: May 25, 2017
• First Posted (Actual): May 30, 2017

Study Record Updates

• Last Update Posted (Actual): June 1, 2017
• Last Update Submitted That Met QC Criteria: May 30, 2017
• Last Verified: May 1, 2017

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Respiratory Tract Diseases; Respiration Disorders; Signs and Symptoms, Respiratory; Cough
• Other Study ID Numbers: KKWCH 2016/2416

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No