Innovation in respiratory patient care

Electronic stethoscope with auscultatory sound analysis system

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StethoMe combines an electronic home stethoscope with a dedicated app and an auscultatory sound analysis system.

Do you run a primary care practice?

StethoMe can be a useful tool for optimising your practice's workflow. Let's talk about coordinated asthma care.

Do you run an outpatient clinic?

Take a step into the future with us. Discover how StethoMe is transforming care for patients with respiratory infections or chronic respiratory conditions.

Home-based patient care

StethoMe enables patients to collect auscultatory data at home.

StethoMe auscultatory data:

enable objective remote consultations
facilitate the management of patients with chronic conditions
allow for the introduction of innovative treatment methods
can be used in the management of asthma patients

An objective and easy way to monitor asthma patients

StethoMe supports both doctors and patients in following an individual asthma treatment plan. Home examinations performed by the patient:

Document asthma exacerbation episodes
Reduce unnecessary in-office visits
Enable auscultatory examinations in children who experience anxiety about in-office visits
Provide essential information supporting diagnosis and helping to tailor the treatment plan
Act as a kind of objective symptom diary
Allow for remote monitoring of treatment progress

Clinical data and publications

StethoMe was developed on the basis of the latest scientific knowledge and years of research conducted at renowned medical institutions and within pilot programmes. The result is a substantial body of scientific publications in peer-reviewed journals LIST.

The latest observational study by StethoMe conducted as part of the project Improving the StethoMe system through the implementation of a personalised respiratory index (PRI) for monitoring respiratory function and a patient decision and selection support subsystem (POIR.01.01.01-00-0648/20-00) objęło aż:

612 patients
including 170 with asthma and 131 with cystic fibrosis
participating physicians
Over 46,000
examinations performed and reviewed by physicians

The study demonstrated that StethoMe is an effective tool for documenting asthma exacerbation episodes and can be successfully used in monitoring patients with chronic conditions, replacing some traditional in-office visits. Over 97% of physicians rated StethoMe as useful or very useful for home care of patients with chronic respiratory conditions, particularly in children.*

* Results of a survey conducted among physicians testing the solution as part of the project.

Medical Advisory Board

The StethoMe Medical Advisory Board is an advisory body for StethoMe in the field of remote medical care and telemedicine using StethoMe solutions. It also supports the project's development in terms of research evidence and relations with the medical community.

Prof. Andrzej Emeryk, MD, PhD
Chairman of the StethoMe Medical Advisory Board

Paediatrician, pulmonologist and allergologist; Head of the Department of Paediatric Pulmonology and Rheumatology, 2nd Chair of Paediatrics, Medical University of Lublin; Head of the Polish Aerosol Therapy School; President of the Lublin Branch Board of the Polish Allergological Society; Chairman of the Paediatric Section of the Polish Allergological Society; member of the European Academy of Allergy and Clinical Immunology. His research interests include in particular: inhalation therapy, diagnosis and treatment of respiratory diseases and allergic conditions. He is the author of over 600 publications.

Examination results and parameters measured by StethoMe®

StethoMe features an auscultatory sound analysis system based on certified medical artificial intelligence algorithms.

The algorithms detect, classify and determine the intensity of abnormal auscultatory sounds (on a scale from 0 to 100), including:

rhonchi
wheezes
fine crackles
coarse crackles

They also measure:

respiratory rate (RR)
inspiration-to-expiration time ratio (I/E ratio)
heart rate (BPM)

Listen to sample StethoMe® recordings

StethoMe supports two types of auscultatory examination - a single-point examination (asthma control) or a full lung examination.

ASTHMA CONTROL mode

This mode is designed for preventive screening. When selected, the patient performs a single-point examination.

The purpose of the examination is to provide a simple way to detect the early signs of an asthma exacerbation — the presence of wheezes and rhonchi, and changes in physiological parameters such as respiratory rate, inspiration-to-expiration time ratio, and heart rate.

FULL LUNG EXAMINATION mode

During a full lung examination, depending on the patient's age, the examination is performed at 6–8 points. This mode detects all additional auscultatory sounds: wheezes, rhonchi, fine crackles, coarse crackles. Physiological parameters including respiratory rate, inspiration-to-expiration time ratio, and heart rate are also measured.

Sound visualisation

Results obtained using StethoMe are presented graphically in the form of a spectrogram — an easy-to-interpret visualisation of the recorded auscultatory sounds.

Scientific publications

At StethoMe, we place enormous importance on the science behind our solutions. We publish the results of our research in peer-reviewed scientific journals.
Frontiers in Physiology
Artificial Intelligence Approach to the Monitoring of Respiratory Sounds in Asthmatic Patients
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Hafke-Dys H, Kuźnar-Kamińska B, Grzywalski T, Maciaszek A, Szarzyński K, Kociński J.

https://www.frontiersin.org/articles/10.3389/fphys.2021.745635/full
PLoS ONE
The accuracy of lung auscultation in the practice of physicians and medical students
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Honorata Hafke-Dys, Anna Bręborowicz, Paweł Kleka, Jędrzej Kociński, Adam Biniakowski

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220606
European Journal of Pediatrics
Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination
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Tomasz Grzywalski, Mateusz Piecuch, Marcin Szajek, Anna Bręborowicz, Honorata Hafke-Dys, Jędrzej Kociński, Anna Pastusiak, Riccardo Belluzzo

https://link.springer.com/article/10.1007/s00431-019-03363-2
ERS International Congress
Performance of artificial intelligence in determining the intensity of abnormal breath sounds in asthma patients
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Tomasz Grzywalski, Adam Maciaszek, Krzysztof Szarzyński, Honorata Hafke-Dys, Jędrzej Kociński, Barbara Kuźniar-Kamińska

https://erj.ersjournals.com/content/58/suppl_65/OA1291
ERS International Congress
Respiratory system auscultation using machine learning - a big step towards objectivisation?
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Tomasz Grzywalski, Marcin Szajek, Honorata Hafke-Dys, Anna Bręborowicz, Jędrzej Kociński, Anna Pastusiak, Riccardo Belluzzo

https://erj.ersjournals.com/content/54/suppl_63/PA2231.article-info
Respirology
Capability Of Artificial Intelligence In Detecting Abnormal Paediatric Breath Sounds
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Ajay C Kevat, Robert Roseby, Anaath Kalirajah, Tomasz Grzywalski, Honorata Hafke-Dys

https://onlinelibrary.wiley.com/doi/epdf/10.1111/resp.13777
Respiratory Research
Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
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ERS International Congress
Accuracy of artificial intelligence in detecting pathological breath sounds in children using digital stethoscopes
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Ajay C Kevat, Anaath Kalirajah, Robert Roseby

https://erj.ersjournals.com/content/56/suppl_64/4798
Pediatric Pulmonology
Evaluation of an Artificial Intelligence (AI)-Based Electronic Stethoscope (ES) in Pediatric Lung Diseases.
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Menard J., Bui S., Galodé F., Gallet P., Fayon M.

https://onlinelibrary.wiley.com/doi/full/10.1002/ppul.25963
Artificial Intelligence in Medicine
Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope
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Tomasz Grzywalski, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Bręborowicz, Anna Pastusiak, Honorata Hafke-Dys, Jędrzej Kociński

https://link.springer.com/chapter/10.1007/978-3-030-21642-9_5
Conference on Agents and Artificial Intelligence - ICAART
Interactive Lungs Auscultation with Reinforcement Learning Agent
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Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalińska, Honorata Hafke-Dys

https://arxiv.org/abs/1907.11238
IEEE International Conference on Big Data
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection
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Tomasz Grzywalski., Adam Maciaszek, Adam Biniakowski, JanOrwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszyński, Krzysztof Szarzyński

https://arxiv.org/pdf/1812.05888.pdf
International Joint Conference on Neural Networks (IJCNN)
Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function
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Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo, Krzysztof Szarzyński, Mateusz Piecuch, Honorata Hafke-Dys

https://ieeexplore.ieee.org/document/9207315/
Biochemistry, Molecular Biology & Allergy
Opportunities for domestic monitoring of children with an electronic stethoscope with automatic auscultation sound analysis system
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