Eko Health
Developer of digital auscultation hardware and companion clinical software that capture amplified/filtered heart and lung sounds, synchronized ECG, and cloud storage. Produces mobile and desktop clients, enterprise telehealth subscriptions for live high-fidelity auscultation streaming, and machine-learning algorithms for detection of structural murmurs, atrial fibrillation, pulmonary hypertension and other cardiopulmonary conditions. Maintains regulatory clearances and publishes peer-reviewed clinical validation; has multiple NIH SBIR awards and clinical research partnerships.
Industries
Nr. of Employees
medium (51-250)
Patents
Methods and systems for pulmonary artery pressure and cardiac synchronization monitoring
US-12303237-B2
View Details
Methods and systems for pulmonary artery pressure and cardiac synchronization monitoring
US-12303237-B2
View DetailsProducts
Hybrid analog/digital auscultation device for clinical exams
Handheld stethoscope that supports traditional acoustic listening and amplified digital modes, selectable audio filters, real-time waveform visualization via client apps, rechargeable battery, and wireless audio options.
Multimodal auscultation device with integrated ECG
Device that captures amplified heart and lung sounds with simultaneous ECG to enable combined acoustic and electrical assessment; supports cloud recording, on-device vitals display, and algorithmic screening.
Digital attachment for analog stethoscopes
Chestpiece attachment that digitizes single-tube stethoscopes to provide amplification, filtering, recording, and wireless connectivity for use with companion client applications and analysis algorithms.
Veterinary auscultation workflow with canine murmur AI
Integrated veterinary workflow combining a digital attachment or device, a mobile app for visualization and reporting, and a canine-specific AI algorithm trained and validated with veterinary cardiology experts to detect and grade canine murmurs.
Hybrid analog/digital auscultation device for clinical exams
Handheld stethoscope that supports traditional acoustic listening and amplified digital modes, selectable audio filters, real-time waveform visualization via client apps, rechargeable battery, and wireless audio options.
Multimodal auscultation device with integrated ECG
Device that captures amplified heart and lung sounds with simultaneous ECG to enable combined acoustic and electrical assessment; supports cloud recording, on-device vitals display, and algorithmic screening.
Digital attachment for analog stethoscopes
Chestpiece attachment that digitizes single-tube stethoscopes to provide amplification, filtering, recording, and wireless connectivity for use with companion client applications and analysis algorithms.
Veterinary auscultation workflow with canine murmur AI
Integrated veterinary workflow combining a digital attachment or device, a mobile app for visualization and reporting, and a canine-specific AI algorithm trained and validated with veterinary cardiology experts to detect and grade canine murmurs.
Services
Implementation and support for health systems, including live high-fidelity audio/ECG streaming, centralized device and user provisioning, EMR and telehealth platform integrations, onboarding, and dedicated customer support.
Cloud subscription memberships for clinicians and organizations that provide encounter recording, AI-assisted screening during exams, secure storage, waveform visualization, reporting, and administrative dashboards. Product tiers differentiate individual clinical memberships from enterprise telehealth subscriptions; pricing and enterprise quotes are provided via sales contact.
Live demos, scheduled training, support ticketing, and deployment consulting to facilitate clinical adoption across care settings such as inpatient, outpatient, long-term care, specialty clinics and home care.
Implementation and support for health systems, including live high-fidelity audio/ECG streaming, centralized device and user provisioning, EMR and telehealth platform integrations, onboarding, and dedicated customer support.
Cloud subscription memberships for clinicians and organizations that provide encounter recording, AI-assisted screening during exams, secure storage, waveform visualization, reporting, and administrative dashboards. Product tiers differentiate individual clinical memberships from enterprise telehealth subscriptions; pricing and enterprise quotes are provided via sales contact.
Live demos, scheduled training, support ticketing, and deployment consulting to facilitate clinical adoption across care settings such as inpatient, outpatient, long-term care, specialty clinics and home care.
Expertise Areas
- AI-enabled auscultation and cardiopulmonary signal analysis
- Digital stethoscope hardware engineering and attachments
- Phonocardiography with synchronized ECG assessment
- Clinical trial design and multi-center validation
Key Technologies
- Digital auscultation (acoustic-to-digital conversion)
- Machine learning for audio and ECG classification
- Phonocardiogram waveform analysis
- Single- and multi-lead ECG capture
News & Updates
Awarded $2.7M SBIR Direct Phase II grant from the NIH to develop a machine learning algorithm that detects and stratifies pulmonary hypertension using phonocardiogram and ECG data collected with digital auscultation devices.
Research collaboration to develop and validate a machine learning algorithm, using digital stethoscope data, to screen patients for low ejection fraction and identify candidates for further imaging.
Multiple pilot deployments and case studies documenting use of live high-fidelity audio/ECG streaming in long-term care, home care, and health system telehealth programs to reduce referrals and support remote diagnosis.
Prospective real-world evaluation showing improved sensitivity for detecting clinically significant valvular heart disease when AI-assisted digital auscultation was used in primary care.
Article summarizing company formation, technology focus on auscultation sensors and ECG, and partnerships with clinical centers.
Coverage describing applied AI in auscultation devices and funding updates.
Awarded $2.7M SBIR Direct Phase II grant from the NIH to develop a machine learning algorithm that detects and stratifies pulmonary hypertension using phonocardiogram and ECG data collected with digital auscultation devices.
Research collaboration to develop and validate a machine learning algorithm, using digital stethoscope data, to screen patients for low ejection fraction and identify candidates for further imaging.
Multiple pilot deployments and case studies documenting use of live high-fidelity audio/ECG streaming in long-term care, home care, and health system telehealth programs to reduce referrals and support remote diagnosis.
Prospective real-world evaluation showing improved sensitivity for detecting clinically significant valvular heart disease when AI-assisted digital auscultation was used in primary care.
Article summarizing company formation, technology focus on auscultation sensors and ECG, and partnerships with clinical centers.
Coverage describing applied AI in auscultation devices and funding updates.