ambiq sleepKIT
ambiq sleepKITambiq sleepKIT

sleepKIT for On-Device Sleep Monitoring and Sleep Intelligence

On-Device Sleep Intelligence

ambiq sleepKIT

sleepKIT™ enables on-device sleep monitoring for wearables and remote healthcare applications on Ambiq’s ultra-low power SoCs. It includes ready-to-train models and demos for sleep detection, sleep stage assessment, and sleep apnea screening, helping developers build intelligent sleep analytics solutions with real-time insights, low power consumption, and continuous overnight monitoring.

Key Features of sleepKIT

01

Real-Time, On-Device Sleep

Detect sleep, stage light/deep/REM, and flag apnea in real time on Ambiq’s ultra-low power Apollo SoCs. Battery-friendly and private—ideal for wearables and home sleep tech.

02

Generalizable from One Wear Location

Built from diverse datasets and bio-signals captured at the head, chest, or wrist. Multi-modal, multi-task models that outperform hand-crafted algorithms while staying tiny.

03

Feature Store + Model Factory

Build faster with sleepKIT’s feature store and pluggable Model Factory. Tune via simple configs or extend with custom tasks and architectures—no heavy refactors.

04

Pretrained, Benchmarked, Deployable

Start with a model zoo and configuration recipes, complete with accuracy and ablation metrics. Export compact models for heliaAOT™/heliaRT™/TFLM and ship to device quickly.

Tasks & Capabilities

Sleep Detect

  • Identify sustained sleep/inactivity bouts to track nightly totals and long-term patterns—robust for everyday wearables.

Sleep Stage Assessment

  • Classify light / deep / REM in real time from multi-modal bio- signals for richer sleep quality insights.

Sleep Apnea

  • Flag apnea/hypopnea events on-device for timely, private screening and monitoring.

Design Resources

Additional Documentation

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Video Library

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Frequently Asked Questions (FAQ)

  • sleepKIT is Ambiq’s AI-powered sleep monitoring solution designed for ultra-low power wearables and health devices. It enables on-device sleep analytics using advanced machine learning models. 

  • Yes. sleepKIT can classify sleep stages, including light sleep, deep sleep, and REM sleep, helping developers build advanced sleep tracking applications. 

  • Yes. sleepKIT includes models designed to identify apnea and hypopnea events for sleep apnea screening and monitoring applications. 

  • sleepKIT is designed for smartwatches, fitness bands, health wearables, remote patient monitoring devices, smart home technology, and other battery-powered edge devices. 

  • Yes. sleepKIT can be integrated into remote monitoring solutions to support continuous sleep tracking and long-term health assessment. 

  • By processing data directly on-device, sleepKIT minimizes the need to transmit sensitive sleep information to external servers, helping protect user privacy. 

  • On-device sleep analysis means your insights are ready when you wake up, your data stays on your wrist, and your battery lasts for weeks, not days. No cloud connection required, no gaps in your sleep history. 

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