The startup develops a bio-signal monitoring device that collects and analyzes physiological data, including body temperature, heart rate, and movement during sleep. This technology enables medical professionals to detect and respond to sleep disorders by identifying abnormal symptoms in real-time.
Funding
Funding not disclosed
Founders
Product
Problem
Detecting sleep disorders often requires in-lab polysomnography, which is expensive, time-consuming, and inconvenient for continuous, long-term monitoring. The limited accessibility and high cost of traditional sleep studies can delay diagnosis and treatment, hindering effective management of sleep-related health issues.
Solution
HoneyNaps offers a real-time sleep bio-signal monitoring system that collects and analyzes physiological data, including body temperature, heart rate, breathing patterns, and movement, throughout the sleep cycle. The system uses an FDA-certified AI algorithm to detect abnormal symptoms and predict potential sleep disorders. The collected data is managed and analyzed through a dedicated platform, enabling early detection and intervention for personalized therapeutic care.
Target Audience
The primary target audience includes medical professionals, researchers, and individuals seeking continuous, in-home sleep monitoring for early detection and management of sleep disorders.
Features
- Real-time monitoring of body temperature, heart rate, breathing, and movement during sleep
- AI-based disease diagnosis software for detecting sleep abnormalities
- Bio-signal management and analysis platform for data processing and visualization
- Integration with international standard interfaces (HL7, DICOM, ISO) for compatibility with various medical software systems
- Predictive algorithms for early disease detection and prevention