The Panoramic Wearable combines a focus on regulatory expectations, with a high degree of configurability and usability to provide a novel solution to wearable data collection in clinical trials and medical research.
The solution comprises the wearable bracelet, a back-end that provides study-set-up and oversight, an app to configure the device for an individual subject, and a hub to provide data syncing.
The device contains sensors that can measure activity and movement, and from which more sophisticated measures can be derived. Sensors include:
- 3 axis accelerometer
- 3 axis gyroscope
- Magnetometer
- Pressure sensor
Why Choose the Panoramic Wearable Platform?
- Configurable data acquisition mode
- A single device that can be flexibility configured to connect only the data required
- Enable intensive data collection over a few days, or long term concise data collection over months without charging.
- Scheduling
- Make your study adaptive: collect the data you want when you want
- Optimise battery life and avoid a deluge of unwanted data
- Low energy activity detection with Machine Learning Core
- Smart detection of activities of interest in realtime.
- Streamlines data processing and lengthens battery life
- Label the data with context (coming soon)
- Control variability in your data by automatically labelling it with the context of data collection
- The Panoramic Wearable platform contains multiple sensors
- Accelerometer, Gyroscope, magnetometer, air pressure
- Each sensor can be individually programmed eg: output data rate, signal filtering
- The panoramic wearable supports pre-defined “Data acquisition modes”, which allow you to configure which sensors are on, and how they are collecting data on a per-study basis
- The panoramic wearable lets you dynamically change the data acquisition mode based on a project-specific time schedule eg:
- Step count all the time, but high resolution accelerometer on at night
- 26Hz accelerometer all the time, but for 2 hour each morning, collect data with all sensors operating
- Data acquisition mode can also be altered by user interaction with the wearable – by tapping it in aparticular way.
- The Panoramic wearable can detect activites of interest from sensor data while the wearable is in low-power “sleep mode”.
- The innovative STMicroelectronics machine learning core (MLC) can be configured to continuously look out for combinations of sensor values that characterise an activity of interest
- When an activity if detected, the MLC wakes up the wearable, to store the time and duration of the detected event, and optionally the associated raw sensor data.
- The Panoramic Wearable can be can configured to detect new activities of interest by collecting training data, doing the machine learning off-line, then adding the new activity to the configuration of the wearable for a particular study.
Coming soon - adding environmental context to the sensor data
- To transform the interpretation of the collected sensor data, the panoramic platform can label the sensor measures with context from tags positioned in the home:
- Which room is the wearer in
- Are they with a family member or carer?
- Which chair are they getting up from?
- What are ambient conditions (temperature, luminosity, noise)?
