Key Features
Everything you need for precise, professional-grade health monitoring.
Bring Your Lab Anywhere
The WeBE™ Band (The well-Being Band) is the world’s first research-grade wristband designed for precise vital sign monitoring. Equipped with advanced sensors, it seamlessly captures and streams clean, raw physiological waveform data, accessible via the cloud from anywhere. Paired with the WeBe Connect platform, it provides over a dozen vital health metrics, empowering researchers with reliable, real-time insights, unmatched data quality, and ultimate flexibility for professional-grade health monitoring.
Unobtrusive monitoring
Engineered for all-day comfort
Clinical data quality
State-of-the-art sensors for clinical-grade accuracy
Ultra low power
14 days continuous-use battery life
Easy data management
Seamless data collection, visualization, and analysis
PPG Sensor
Heart rate, heart rate variability, Blood Oxygen Saturation Level (SpO2)
EDA Sensor
Measure perspiration of hands, which can be a marker for stress
3-Axis Accelerometer
Track daily activities (steps, calories, cadence)
Long Battery Life
Up to two weeks of battery life.
Event button
Event button on the band as well as mobile device enables easy event mark down. Easy for labeling the data.
Sleep Track
We-Be monitors an impressive array of metrics to evaluate user’s sleep time and sleep quality.
Blood Pressure (Developing)
Estimate blood pressure through our AI/ML algorithms
Calories
Measure calorie consumption.
Temperature
Measure skin temperature
Offline storage
When disconnected with phone/PC, the device will automatically store data of up to 48 hours to avoid data loss.
Seamless Connection
We-Be uses Bluetooth Low Energy protocol and offers seamless connection and low-latency data transmission.
Respiratory Rate(Developing)
A state-of-the-art PPG-based respiratory rate estimation algorithm.
Signal Pre-process
See both raw and pre-processed data containing well-denoised signals and comprehensive extracted features in time, frequency, time-frequency, and non-linear domain.
Stress Detection(Developing)
We-Be band is equipped with advanced machine learning-based stress detection model. The model analyzes hundreds of features from PPG, EDA sensors to be aware of the accurate stress level.
Sports Coach
Track activity, walk steps, run steps, and calories consumed and receive alongside a detailed sports report.
Trusted by the greatest companies and academics
We-Be is helping hundreds of researchers across the world!
What Researchers Say
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
Not only the a wearable for continuous physiological data collection, but the entire data management solution
With our powerful data management platform and cloud, it only takes one step from experiments to data analysis!
Streaming mode
When We-Be is connected to a gateway (mobile phone or PC), the data is automatically analyzed on the edge for users to visualize in real-time. Our platform allows the data to be uploaded to the cloud through the WeBe Connect gateway for future access, management, and computationally complex post-processing.
Offline mode
When We-Be is disconnected with central device, it stores the data automatically to its flash memory up to 7 days of data to avoid data loss. Then, once the device is reconnected to the gateway, all data will be automatically transmitted and saved to cloud. Benefits from the internal real time clock in We-Be, the offline data are well timestamped.
pyphysio Library
Feature Engineering
Data clean
Happening on the cloud…
- Feature Engineering
- Stress detection
- In-Store Payment
- pyphysio
- Auto ML
- Signal preprocess
- Data clean
We-Be Introduce
- We-Be
- Metal frame
- Bands
- Charging cable
- User manual
Video
Technical Specifications
.
Form Factor
• Max band circumference: 106mm • Min band circumference: 200mm • Case Diameter: 36.5mm • Case height: 16mm • Total Length: 260mm
Battery
Battery size: 330mAh Typical use: 7 days Standby: 14 days Charging time: < 1 hour
Data storage
256MB flash memory store up to 48 hours data
Materials
Band: polyurethane Case: polycarbonate and glass fiber Lenses: polycarbonate and silicon
Create your own custom experience
Develop your own data management application starting from our easy-to-use protocols and API
Mobile App API
Use our iOS/Android APIs to get real-time raw data from We-Be and develop your own mobile app.
Python-Based API
Use our Python APIs to get real-time raw data from We-Be and develop your own solution.
Desktop data output
The cloud provides protocol to get access to all your data. Start developing your own data analysis pipeline now!