DataLITE

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.

Communications between a DataLITE interface and sensors use 4 frequencies out of a possible 32; these are evenly spaced in the range of 2.403 GHz to 2.480 GHz.

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.

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%.

DataLIE Wireless Sensors

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.

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