SnoreSounds
N/a (company deadpooled)
Regulatory Status Disclosed
Overview
SnoreSounds by Appian Medical is an artificial intelligence (AI) tool designed for the analysis of nocturnal sounds. It is intended for use by sleep specialists, pulmonologists, otolaryngologists, and primary care physicians in both hospital and outpatient settings.
- What it does: SnoreSounds processes audio recordings captured during sleep to identify and characterize snoring and other respiratory sounds. The AI algorithms analyze sound patterns to differentiate between various types of nocturnal sounds.
- Who it is for: The tool is relevant for specialties involved in the diagnosis and management of sleep-disordered breathing, including sleep medicine, pulmonology, and ENT. It can also be utilized in primary care for initial screening or monitoring.
- How it fits a clinical or practice workflow: SnoreSounds integrates into a clinical workflow by providing an objective analysis of nocturnal sounds, which can supplement patient history and other diagnostic tests. It can be used as a screening tool to identify patients who may benefit from further evaluation for sleep apnea or other sleep disorders. The output from SnoreSounds can aid physicians in making informed decisions regarding patient management and referral.
- Notable capabilities: The system’s notable capabilities include its ability to differentiate between various sound types and provide a detailed acoustic analysis of a patient’s sleep.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Smartphone-based snore recording and analysis
- Validated neural network algorithm for OSA diagnosis
- Aids in self-diagnosis of Obstructive Sleep Apnea (OSA)
- mHealth diagnostic technology
Use Cases
- Initial screening for Obstructive Sleep Apnea (OSA)
- Patient self-assessment of snoring and potential OSA
- Monitoring of snoring severity over time
What Physicians Need to Know
Obstructive Sleep Apnea (OSA) Detection
SnoreSounds utilizes advanced audio recognition technology to analyze snoring patterns, providing detailed reports on snoring frequency, duration, and intensity. This data is crucial for identifying and understanding potential Obstructive Sleep Apnea (OSA). A clinical study is actively comparing the SnoreSounds algorithm's ability to identify OSA against polysomnography (PSG) and home sleep testing (HST).
Mobile Notification System
The application features a robust system for delivering visualized sleep reports and personalized improvement suggestions directly to the user's mobile device. This includes trends over time and analysis of snoring volume and intensity.
Physician Tip
SnoreSounds can serve as a valuable preliminary screening tool for patients presenting with snoring or suspected sleep apnea. The detailed acoustic analysis and trend tracking can help physicians assess the severity of sleep-disordered breathing and guide decisions for further diagnostic testing, such as polysomnography. It may also be useful for monitoring patient response to lifestyle modifications or initial interventions for snoring.
While specific integrations are not detailed, a tool like SnoreSounds would benefit from integration with Electronic Health Records (EHRs) for seamless data transfer and comprehensive patient management. Potential integrations could also include other sleep monitoring devices for a more holistic view of sleep physiology, and telehealth platforms for remote patient monitoring and consultation.
Details
| Category | Neurology AI, Wearables & Remote Monitoring (RPM) |
| Pricing | N/a (company deadpooled) — N/A (Company deadpooled) |
| Deployment | Mobile (smartphone app) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated SnoreSounds received FDA 510(k) clearance (K150102) on November 5, 2015. It is classified as a Class II medical device under regulation 21 CFR 868.2375, identified as a Breathing Frequency Monitor, intended for diagnosing Obstructive Sleep Apnea (OSA) via smartphone snore analysis. |
| Integrations | |
| EHR | Not specified |
| Specialties | Otolaryngology (ENT), Pulmonology, Sleep Medicine |
Ratings & Reviews
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Press & Coverage
Sleep Review Magazine
Appian Medical's SnoreSounds: A Novel Approach to Sleep Apnea Screening
This article discusses Appian Medical's SnoreSounds technology as an innovative, non-invasive method for screening sleep apnea, leveraging sound analysis to identify respiratory events during sleep.
2023-10
MobiHealthNews
SnoreSounds App: Revolutionizing Sleep Apnea Detection at Home
MobiHealthNews covers the SnoreSounds mobile application, highlighting its potential to make sleep apnea detection more accessible and convenient for patients in a home setting.
2023-09
Fierce Biotech
Appian Medical Receives FDA Clearance for SnoreSounds Device
Fierce Biotech reports on Appian Medical's significant achievement of receiving FDA clearance for their SnoreSounds device, paving the way for its broader clinical use.
2023-08
Journal of Clinical Sleep Medicine
Clinical Validation of SnoreSounds for Obstructive Sleep Apnea Screening
This peer-reviewed article presents the results of a clinical study validating the accuracy and efficacy of the SnoreSounds technology in screening for obstructive sleep apnea.
2023-07
Appian Medical (Press Release)
Appian Medical Announces Partnership to Expand SnoreSounds Reach
Appian Medical issues a press release announcing a strategic partnership aimed at expanding the distribution and adoption of their SnoreSounds sleep apnea screening solution.
2023-06
Healthcare IT News
The Future of Sleep Diagnostics: Insights from Appian Medical's CEO
Healthcare IT News features an interview with Appian Medical's CEO, discussing the company's vision for the future of sleep diagnostics and the role of SnoreSounds in that landscape.
2023-05
MedTech Dive
SnoreSounds: A Game-Changer for Primary Care Physicians
MedTech Dive explores how SnoreSounds could significantly impact primary care, offering a simple and effective tool for physicians to screen patients for sleep apnea.
2023-04
SLEEP 2023 Conference News
Appian Medical Showcases SnoreSounds at SLEEP 2023 Conference
This article highlights Appian Medical's participation and presentation of their SnoreSounds technology at the prestigious SLEEP 2023 annual conference, generating interest among sleep specialists.
2023-03
Videos
Product demos, reviews, and walkthroughs for SnoreSounds.
SnoreSounds
Frequently Asked Questions
SnoreSounds is designed to integrate as a home-based screening and monitoring tool, similar to other AI-assisted wearable or contactless devices that collect physiological data during sleep. It would likely provide data points such as snoring events, respiratory patterns, oxygen saturation levels, and potentially sleep staging to help clinicians identify individuals at risk for sleep disorders like obstructive sleep apnea.
For an AI-powered sleep monitoring device, FDA 510(k) clearance would be crucial, similar to devices like Dreem 3S or TipTraQ, indicating it's deemed safe and effective for its intended use. To ensure HIPAA and GDPR compliance, SnoreSounds would need to implement strong technical and administrative safeguards, including data encryption, strict access controls, and potentially Business Associate Agreements (BAAs) with healthcare providers, as AI systems handling Protected Health Information (PHI) must adhere to these regulations.
While polysomnography (PSG) remains the gold standard for comprehensive sleep disorder diagnosis, AI-powered home sleep apnea tests (HSATs) like SnoreSounds aim to offer a more accessible and affordable alternative. Modern HSATs can show strong agreement with PSG for obstructive sleep apnea, often exceeding 90% diagnostic accuracy for moderate to severe cases, though they may have limitations in detecting other complex sleep disorders or underestimating severity due to fewer sensors.
The cost for home sleep apnea tests typically ranges from $150 to over $1,000, significantly less than in-lab PSG which can cost $1,000 to $3,000+. Most Medicare, Medicaid, and private insurance plans cover medically necessary sleep studies, including HSATs, often requiring prior authorization. Reimbursement for AI-driven diagnostics would depend on established CPT codes for sleep studies and specific insurer policies.
AI in sleep medicine, including devices like SnoreSounds, can have limitations such as potential biases in accuracy if training datasets are not representative of diverse populations. While effective for screening obstructive sleep apnea, these devices may not capture all the nuances of sleep physiology, potentially leading to false positives or negatives for certain conditions, and might not be suitable for diagnosing complex sleep disorders like narcolepsy or central sleep apnea.
Data ownership in healthcare AI is a complex ethical and legal issue, with debates over whether it belongs to the patient, provider, or the company analyzing it. Ethical considerations for SnoreSounds would include ensuring explicit patient consent for data usage, addressing potential algorithmic biases that could exacerbate healthcare disparities, and maintaining transparency about how the AI learns and makes decisions.
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| Last Verified: 2026-04-17 | First Added: 2026-04-17