​With users wearing a bracelet, and beacons around the house, we can get far greater insight into user behaviours.

Panoramic Digital Health has created an innovative wearable sensor platform for data collection to provide: 

• Information about a person's activity and behaviour 
• Environmental context for controlling variability and identifying a person's location​

The solution comprises: 

• A waterproof wearable bracelet, the module can also be worn on the waist, hip, back.
• Optional "beacons" that provide environmental context including position and ambient conditions- no installation is required for the beacons, the user just places them around the home.
• A back-end for study set-up and oversight 
• Flexible data storage options, with optional home hub to transfer data.

The Panoramic Wearable is available now as a CE  marked wellness product and is intended for researchers wanting full control over their data. 

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3 minute video introduction to the technology

This 9 minute video provides more detail

Why Choose the Panoramic Platform?

Configurable data acquisition mode

• A single device that can be flexibly 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
• Optimize battery life and avoid a deluge of unwanted data

Low energy activity detection with Machine Learning Core

• Smart detection of activities of interest in real-time.
• Streamlines data processing and lengthens battery life

Label the data with context 

• Control variability in your data by automatically labelling it with the context of data collection
• Battery powered beacons can be placed around the home, to provide local context
• A Bluetooth module in each beacon transmits a signal once per second that can be detected by a nearby wearable  
• Bluetooth signal strength provides and estimate of distance between wearable and each beacon.
• Room temperature, light level and noise level is transmitted by beacons to the wearable, to be stored alongside the wearable sensor data. ​​

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  (e.g. output data rate, signal filtering)

Dynamically change the data acquisition mode based on a project-specific time schedule. A few examples: 

• 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.

• Which room is the wearer in?
• Are they with a family member or carer?
• How many times do they get up from their favourite chair?
• What are ambient conditions (temperature, luminosity, noise)?

Specifications

Sensors in the wearable include:

• 3 axis accelerometer
• 3 axis gyroscope
• Magnetometer
• Pressure sensor
• Temperature sensor

1GByte of memory is included for raw data storage.
BLE module for communication and to receive beacon signal

The beacons include:

• Temperature
• Noise
• Light
• Pressure (coming soon)

X-Ray image of the Panoramic Bracelet.

Additional Features: The Machine Learning Core

The Panoramic wearable can detect activities of interest from sensor data while the wearable is in low-power “sleep mode”.

• Watch for events of interest: The innovative STMicroelectronics machine learning core (MLC) can be configured to continuously look out for combinations of sensor values that characterize an activity of interest
• Record event: When an activity is detected, the MLC wakes up the wearable, to store the time and duration of the detected event, and optionally the associated raw sensor data.
• Train new events:  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.  

Data Privacy

​Data Privacy is as the centre of the design of the PDH platform:

• Data is stored encrypted on the device
• No personal information is on the device
• No need to send data to cloud, can be handled locally