Collecting Respiratory Sound Samples From Corona Patients to Extend the Diagnostic Capability of VOQX Electronic Stethoscope to Diagnose COVID-19 Patients
1 other identifier
interventional
200
1 country
3
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable covid19
Started May 2020
Typical duration for not_applicable covid19
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 27, 2020
CompletedFirst Submitted
Initial submission to the registry
February 23, 2021
CompletedFirst Posted
Study publicly available on registry
June 2, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2021
CompletedJune 2, 2021
February 1, 2021
1.5 years
February 23, 2021
May 30, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Performance outcome
Detection and identification of pulmonary sound signals ranging from infra-sound to auditory sound which are typical to specific pathologies of COVID-19
Through study completion, an average of 1 year
Performance outcome
Use machine learning technologies to identify the above sound patterns and corresponding pathologies
through study completion, an average of 1 year
Study Arms (1)
Open Label
EXPERIMENTALUp 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.
Interventions
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sanollalead
Study Sites (3)
Barzilai Medical Center
Ashkelon, 7830604, Israel
Hille Yaffe Medical Center
Hadera, 38100, Israel
Shamir Medical Center (Assaf Harofah)
Zrifin, 703000, Israel
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
David Linhard
Sanolla
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 23, 2021
First Posted
June 2, 2021
Study Start
May 27, 2020
Primary Completion
December 1, 2021
Study Completion
December 1, 2021
Last Updated
June 2, 2021
Record last verified: 2021-02