We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Infra-Sound Auscultation Technology Confirms COVID-19 Status

By HospiMedica International staff writers
Posted on 14 Apr 2020
Print article
Image: The Bat Call Product Line (photo courtesy of Bat Call)
Image: The Bat Call Product Line (photo courtesy of Bat Call)
Artificial intelligence (AI) algorithms and deep learning (DL) classification and analysis of infra-sound auscultation help identify and treat COVID-19 patients.

Developed by Bat-Call (Nesher, Israel), the acoustic digital diagnostic system provides a full spectrum auscultation of body sounds. Originally designed for early diagnosis and management of both chronic respiratory and cardiovascular diseases such as pneumonia, asthma, chronic obstructive pulmonary disease (COPD, and congestive heart failure (CHF), it has now been expanded to also support COVID-19. The DL classification algorithm has previously shown a 90% detection accuracy of pneumonia patients, compared to an average of 55% with traditional auscultation.

The company provides three product lines:
• The Voqx smart auscultation device, which analyzes lung sounds, and can also provide vital sign information thanks to integrated sensors that measure pulse, oxygen saturation, respiratory cycle, and body temperature.
• The Pyxy is a compact, self-assessment device with all the features of the Voqx, which can be used to serve severe chronic cardiac and respiratory diseases patients worldwide that are in constant need for home monitoring.
• The Acoustic Imaging System (AIS) provides three dimensional (3D) mapping of chest sounds, including highlighting abnormalities in respiratory functionality estimation, enabling speedy and accurate triage in medical centers.

“Bat-Call's technology can potentially be harnessed for effective and rapid mass screening of population as well as accurate diagnosis and monitoring of quarantined COVID-19 patients without medical personnel on site,” said Yitzhack Schwartz, MD, chief medical officer of Bat-Call. “The device classifier can indicate the condition, and if needed, transmit it remotely. This will reduce unnecessary expensive or invasive exams such as X-ray, CT, blood tests, lowering referrals to medical centers and will keep medical staff safe from infection.”

“It is of great importance to quantify and detect the progress of lung disease involvement, which causes difficulty in breathing and coughing, without the other symptoms. A technology that can monitor low frequencies of lung sounds can better detect and monitor deterioration or improvement of the disease,” said Amin Shneifi, MD, head of the emergency department at Emek Medical Center (Afula, Israel). “I have no doubt that Bat-Call's technology can be a great tool in managing the pandemic, as it can be used for diagnosing and continuous monitoring of patients and optimizing treatment.”

Infrasound describes sound waves with a frequency below the lower limit of audibility (generally 20 Hz). Although not audible, vibrations at these frequencies are usually palpable or visible. Examples of such infrasonic vibrations are provided by precordial motion, such as thrusts or heaves, and by arterial and venous pulses.

Related Links:
Bat-Call

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Plasma Freezer
iBF125-GX
New
Vertebral Body Replacement System
Hydrolift

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.