Collecting Respiratory Sound Samples From Corona Patients to Extend the Diagnostic Capability of VOQX Electronic Stethoscope to Diagnose COVID-19 Patients

Not Applicable

• Conditions: COVID-19
• Interventions: Diagnostic Test: Electronic stethoscope

• Registration Number: NCT04910191
• Lead Sponsor: Sanolla

Brief Summary

Technological developments in the recent decades has enabled the integration of electronic and digital components in the stethoscope design, in an attempt to improve auditory performance and, moreover, to assist in improving user's diagnostic accuracy by incorporating computerized, digital technologies, artificial intelligence capabilities and deep-learning-based algorithms enhancing these devices.

We believe that these technologies can be used to significantly improve the diagnostic performance in the primary care phase, by means of a sophisticated stethoscope that enables auscultation to sounds and signals typically found in the sub-sound frequency level. Their transformation into the sound range, and the use of artificial intelligence and machine learning techniques to characterize sound patterns that correspond to specific problems or diseases can substantially enhance the physician's or other care giver's performance to the benefit of the patients.

At this stage, the software in development does not purport to make diagnostic decisions, but only to provide information that will enhance decision and diagnosis making process, therefore enable a more accurate and definitive diagnostic decision and perhaps decrease the number of additional diagnostic tests requested.

Detailed Description

Up to 200 patients will participate in an open, prospective and multi-center study.

Patients diagnosed as positive to COVID-19 will be referred to a VOQX examination. All patients will receive detailed explanation about the purpose of the examination, its impact and will provide their consent prior to the examination. The VOQX device output will have no influence on the decision-making process of the physicians and care givers. The VOQX Stethoscope membrane will be put on the patient's chest area in predefined anterior and posterior points. The data collected in the form of breath sound signals in particular infra-sound will be transferred to an external computer and processed by machine learning algorithm developed by the company. The algorithm will seek patterns typical for the diagnosed disease for each corresponding case diagnosed.

Study Timeline

• Study Start: 2020-05-27
• Status Verified: 2021-02
• Study First Submitted: 2021-02-23
• Study First Submitted QC: 2021-05-30
• Last Update Submitted: 2021-05-30
• Study First Posted: 2021-06-02
• Last Update Posted: 2021-06-02
• Primary Completion: 2021-12
• Study Completion: 2021-12

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

• Patients over the age of 18 years

• RT-PCR positive for COVID 19

• Patients diagnosed with the following pulmonary pathology:

  • Pneumonia
  • Pulmonary edema
  • Bronchitis
  • Acute asthmatic attack
  • Emphysema
  • Or Normal (e.g. asymptomatic patients)

• The diagnosis is confirmed if possible, by:

  • Anamnesis
  • Physical examination
  • X-ray
  • Suggestive blood test - CBC
  • Pulse oximetry

Exclusion Criteria

• Pregnant women
• Chest malformation
• Unconsciousness
• Subject that need a guardian
• Weigh above 150 Kg.
• Patients with current shortness of breath
• Patients currently assisted by breathing machine such as CPAP or other

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Open Label	Electronic stethoscope	Up to 200 patients will participate in this open study. Before each examination with the study device, data from each patient (Current medical condition, medical history and demographic data) will be inserted to a computer and added to the database of the study for further processing in conjunction with the study device results. The study device electronic stethoscope membrane will be put on the patient's chest area in predefined anterior and posterior points. At the end of each examination the data will be transferred to a computer and stored in the patient's file. Each patient will be requested to attend the examination once.

Primary Outcome Measures

Name	Time	Method
Performance outcome	through study completion, an average of 1 year	Use machine learning technologies to identify the above sound patterns and corresponding pathologies

Trial Locations

Locations (3)

Hille Yaffe Medical Center; 🇮🇱 Hadera, Israel

Barzilai Medical Center; 🇮🇱 Ashkelon, Israel

Shamir Medical Center (Assaf Harofah); 🇮🇱 Zrifin, Israel