slaapkliniek.be

What It Is

YASAFlaskified is a Flask web application built around the open-source YASA engine. It is designed to let clinicians and sleep researchers process a single EDF polysomnography file without writing Python, covering automated sleep staging, respiratory event-related metrics, signal quality checks, and PDF report generation. The page clearly notes that the product is still in active development, that the interface and features may change frequently, and that login access is limited to authorized medical professionals.

Core Capabilities

Its AI core comes from YASA: using a gradient boosting classifier, it automatically classifies 30-second epochs into Wake, N1, N2, N3, and REM, and can calculate AASM-standard statistics such as sleep efficiency, latency, WASO, and the proportion of each sleep stage. At the application layer, it supports EDF upload, channel selection, asynchronous background analysis, hypnograms, spindle/slow-wave detection, band power charts, PNG/CSV export, and PDF reports. Newly added capabilities include per-channel signal quality grading as good/acceptable/poor, flagging sleep-stage confidence below 70%, three-threshold OAHI scanning, and configurable scoring rules.

Pricing and Trial

The page does not disclose any subscription, usage-based, or deployment pricing, nor does it specify payment methods. The entry point offers “Request a demo account,” suggesting that public trial access requires an application, but the free quota and trial duration are unknown.

Pros and Cons

Its strengths are that it is based on the open-source ecosystem of YASA, MNE, LightGBM, and related tools; it covers the full workflow from EDF files to reports; and it adds security hardening needed in clinical scenarios, such as CSRF protection, rate limiting, strong session management, UFW, Fail2ban, and Docker/Nginx deployment. The YASA-related eLife 2021 paper reports a median sleep-staging accuracy of 87.5%, giving it a certain research foundation. The limitations are that formal clinical validation, external validation on MESA, FHIR export, and a manual scoring interface are still on the roadmap or under validation, so any medical conclusions still need to be reviewed by qualified professionals.

Who It’s For and Access from China

It is better suited to sleep centers, hospital PSG technicians, clinical research teams, and researchers who need to batch reanalyze EDF files. It is not intended for general consumers to self-assess sleep. The page does not state how well it can be accessed from China, and server/network availability is unknown; payment methods are also not disclosed. For domestic deployment in China, teams may need to consider self-hosting, compliant data storage, and Chinese-language report requirements. Alternatives include using YASA Python directly, MNE-Python, or local commercial PSG analysis systems.