Healthetile offers the We-Be Band, a research-grade wearable that streams high-fidelity raw physiological waveform data for precise vital sign monitoring. This platform provides over a dozen health metrics and advanced signal processing capabilities, empowering researchers and developers with detailed physiological insights for scientific study and application development.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional health monitoring solutions often lack the precision and continuous data streams required for in-depth research and professional analysis. This limits the ability to capture nuanced physiological changes and track health trends effectively, hindering the development of advanced health insights.
Solution
Healthetile provides the We-Be Band, a research-grade wearable device designed for precise vital sign monitoring. It streams raw physiological waveform data, enabling the capture of high-fidelity signals for advanced analysis. The platform offers over a dozen health metrics, facilitating real-time, high-quality insights into user physiology. This comprehensive data collection, visualization, and analysis capability empowers professionals with the tools needed for rigorous health monitoring and research.
Target Audience
The primary target audience includes researchers, clinical trial coordinators, and health technology developers who require precise, continuous physiological data for scientific study and application development.
Features
- **PPG Sensor:** Captures heart rate, heart rate variability (HRV), and SpO2.
- **EDA Sensor:** Measures electrodermal activity, a marker for physiological stress.
- **3-Axis Accelerometer:** Tracks daily activity metrics including steps and cadence.
- **Long Battery Life:** Offers up to 14 days of continuous use on a single charge.
- **Event Button:** Allows for manual event marking on the band and via a companion mobile device for data annotation.
- **Sleep Tracking:** Monitors sleep time and quality through various physiological indicators.
- **Offline Data Storage:** Stores up to 30 hours of data locally when disconnected from a gateway to prevent data loss.
- **Bluetooth Low Energy (BLE):** Ensures seamless connectivity and low-latency data transmission.
- **Signal Pre-processing:** Provides access to both raw and pre-processed physiological signals, including denoised data and extracted features across multiple domains (time, frequency, time-frequency, non-linear).
- **Cloud Data Management:** Facilitates data upload, management, and computationally intensive post-processing via a cloud platform.
- **Mobile App API:** Enables developers to access real-time raw data for custom mobile application development on iOS and Android.
- **Desktop Data Access Protocol:** Offers a protocol for accessing all collected data for custom analysis pipeline development.