DeepRESP
Overview
DeepRESP is a cloud-based AI medical device developed by Nox Medical Ehf, designed to revolutionize sleep diagnostics. It leverages deep learning to accurately score 30-second epochs in sleep states (REM, NREM, wake) and arousal events directly and solely from respiratory inductance plethysmography (RIP) belt signals. This innovative approach eliminates the need for traditional electroencephalography (EEG), electrooculography (EOG), or electromyography (EMG) signals for sleep staging and arousal scoring.
The tool significantly improves the accuracy of the Apnea-Hypopnea Index (AHI) for home sleep tests (HSATs), bringing them closer to the accuracy of polysomnography (PSG) results. DeepRESP is intended to assist medical professionals in the diagnosis and follow-up of various sleep disorders in adults (22 years and above). It can be utilized in diverse clinical environments, including hospitals, ambulatory clinics, and home sleep testing settings.
Beyond automating routine sleep staging, DeepRESP provides a comprehensive scoring solution by analyzing subtle changes in breathing patterns, marking events, and calculating key clinical parameters. Its cloud-based Software as a Medical Device (SaMD) architecture includes a web API for seamless integration with client applications.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Cloud-based AI medical device
- Uses deep learning to score sleep states (REM, NREM, wake)
- Scores arousal events directly from RIP belt signals
- Analyzes respiratory inductance plethysmography (RIP) belt signals
- Does not require EEG, EOG, or EMG for sleep staging and arousal scoring
- Improves AHI accuracy for home sleep tests (HSAT)
- Automates sleep staging and arousal scoring in HSAT
- Calculates key clinical parameters like Apnea-Hypopnea Index (AHI)
- Offers a web API for integration with third-party client applications
- Aids in diagnosis and follow-up of sleep disorders in adults
Use Cases
- Diagnosis of various sleep disorders in adults
- Follow-up of sleep disorder treatment
- Enhancing the accuracy and conclusiveness of Home Sleep Apnea Testing (HSAT)
- Automating sleep study analysis and scoring
- Improving detection of sleep apnea, particularly in women, from home testing
- Use in hospitals, ambulatory clinics, and home sleep testing environments
What Physicians Need to Know
DeepRESP offers a valuable AI-powered solution for streamlining sleep study analysis, particularly for diagnosing sleep disorders like OSA. Clinicians can leverage its ability to automatically score sleep stages and arousals, even from RIP belt signals without full EEG, to improve efficiency and consistency in interpretation. The identification of OSA endotypes and other physiological traits can aid in personalizing treatment strategies. Always remember that AI outputs are an aid and require verification by a medical professional for final diagnosis and treatment decisions.
DeepRESP is a cloud-based SaMD with a web API, suggesting potential for integration with existing client applications, Electronic Health Record (EHR) systems, and sleep lab management platforms. Its cloud infrastructure supports scalable data storage and processing, facilitating seamless integration into diverse clinical workflows for sleep diagnostics. Specific integration partners or methods (e.g., DICOM, HL7) are not detailed in the provided information but are typical for such medical devices.
Details
| Category | Neurology AI, Wearables & Remote Monitoring (RPM) |
| Pricing | Contact for pricing — Not publicly available |
| Deployment | Cloud-based Software as a Medical Device (SaMD) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated DeepRESP received FDA clearance (K252330 in March 2025) as a cloud-based AI medical device intended to assist in the diagnosis and follow-up of sleep disorders in adults by scoring sleep states and arousal events from RIP belt signals. It was also cleared under K241960. |
| Integrations | |
| EHR | Not specified |
| Specialties | Pulmonology, Sleep Medicine |
What the Web Says
DeepRESP is an FDA-cleared, cloud-based AI medical device from Nox Medical designed to aid in the diagnosis and follow-up of sleep disorders in adults. It utilizes deep learning to score sleep states (REM, NREM, wake) and arousal events directly from respiratory inductance plethysmography (RIP) belt signals, eliminating the need for EEG, EOG, or EMG. The system aims to improve the accuracy of AHI in home sleep apnea tests (HSAT) and streamline workflows for clinicians by automating repetitive tasks.
Overall: PositiveStrengths
- Improves accuracy of AHI in HSAT studies by enabling sleep staging and arousal scoring without EEG.
- Reduces time constraints and inter-scorer variability in sleep study analysis.
- Automates repetitive tasks, freeing clinicians to focus on interpretation and personalized patient care.
- Can be used in diverse settings, including hospitals, ambulatory clinics, and home sleep testing environments.
- Provides deeper, data-driven insights with additional AI tools like OSA Endotyping, Hypoxic Burden, and Ventilatory Burden.
- Offers secure data transfer, centralized cloud storage, and real-time collaboration through the Nox Connect platform.
Limitations
- The output of DeepRESP is not the sole source for diagnosis; medical professionals remain responsible for review and diagnosis.
- DeepRESP does not classify apneas and hypopneas as central or obstructive; this must be done by a medical professional.
- No specific reviews from physicians, healthcare IT, or tech reviewers were found outside of Nox Medical's own promotional materials.
- No reviews were found on Reddit, G2, or Capterra directly pertaining to DeepRESP.
Based on reviews from: Nox Medical (noxmedical.com), FDA (accessdata.fda.gov)
Last updated: 2026-07-20
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