DataLITE is a range of professional wearable tech systems allowing the user to collect physiological data from a wide variety of sensors while the subject is free to move in almost any environment.
DataLITE uses progressive frequency hopping, error detection and data recovery algorithms. This allows the readings to be smooth and robust even in the typical modern work environment which utilises many different types of Wi-Fi products.
DataLITE wireless sensors convert input signals such as joint angle, EMG or force data and transmits in real-time to the PC for analysis. This produces a versatile and expandable design with the greatest possible accuracy, negligible drift and the greatest freedom for the test subject.
DataLITE provides a selection of three interfaces. Each is capable of recording up to 24 analogue and 12 digital channels of data. If more is required, two or more interfaces can operate in the same environment.
The base interface utilizing a wireless dongle transceiver to communicate between DataLITE sensors and the computer. Data is displayed and recorded directly to the PC or streamed to third party software. Data can be analysed in the Biometrics Analysis Software or exported for analysis in other software.
A desktop unit incorporating all the same features of PIONEER with the addition of analogue outputs for each channel of wireless data. This standard analogue output is easy to interface to and provides the user with a very simple, accurate and robust way of sending data to 3rd party systems.
EXPLORE is a wearable device that provides multi-channel recordings of EMG, dynamic joint movement, acceleration and other physiological parameters from a range of wireless sensors. This provides data capture & analysis both within and outside the boundaries of normal testing environments.
DataLITE Interface Specifications
|Portable||When plugged into Laptop / Tablet|
|Real-Time Data Display||PC||PC||LCD & PC via USB|
|Number of Channels||16 sensors for up to 24 channels|
|Dimensions||54 x 30 x 10 mm||180 x 170 x 48 mm||16 x 52 x 45 mm
(Height x Width on wrist x Length on wrist)
|Mass||12 g||430 g||59 g|
|Sensor Wi-Fi Range||Up to 30 m||Not limited as interface and sensors are worn by subject|
|Save to MicroSD|
|Latency - Sensors to PC Recording||40 mS|
|Latency - Sensors to Analogue Output||N/A||100 mS||N/A|
|Wireless Transmission Loss||Tolerant for 100 mS|
|Analogue Output Connectors||N/A||3 connectors. Each gives analogue outputs for up to 8 analogue sensors such as goniometers & EMG, and 4 digital outputs for sensors such as contact switches.||N/A|
|Power Source||USB||Mains powered rated continuous||Lithium polymer battery|
|Connection to Windows PC/Laptop||USB||Micro USB to USB|
|Analogue Output Bandwidth||N/A||+0 / -1 dB up to 800 Hz||N/A|
RF Channel Optimisation Test
A new RF Channel Optimisation Test is an easy way to detect errors on all 32 frequencies available to DataLITE and determine the optimum combination of RF Channels to use.
DataLITE communications use 4 frequencies out of a possible 32 within the range of 2.403GHz to 2.480GHz; the choice of 'RF Channel' number selects which 4 to use.
Because this frequency range is also used by many other devices, such as Wi-Fi and mobile phones, there is a good chance that if the distance between the Dongle and associated sensors is significant, some communications will be lost due to another device transmitting on the same frequency. DataLITE devices reduce the effect of interference by continuously frequency hopping between 4 frequencies using built in error detection and data recovery.
The RF Channel test performs multiple transmissions of data on all available frequencies in sequence without using any error correction. A result of 100% means that all data transmissions on that frequency have been successfully transmitted and received. The ideal 'RF Channel' to use would be one where all 4 frequencies used by that RF Channel are 100%.
DataLITE Wireless Sensors
DataLITE sensors are completely wireless allowing total freedom of movement. Precise measurements include real-time joint angular movement, EMG analysis and many other associated physiological measurements.