Setting up and using the QTUG™ product
Keep in mind the following usage while performing the test.
To determine why the sensor does not connect to the tablet, you should do the following:
To identify why the test keeps failing, you should do the following:
If you are getting strange behaviour from QTUG™, you should do the following steps:
Check if the tablet battery is fully charged by plugging into a wall socket.
If you are getting strange behaviour from QTUG™, you should do the following steps:
The messages, 'Cannot find Left sensor' and 'Cannot find Right sensor' usually arise when one of the sensors (LEFT sensor or RIGHT sensor) is switched off, or the battery of a given sensor is flat.
The message, 'Too many or not enough sensors connected' usually arises when one or both of the sensors (LEFT sensor or RIGHT sensor) are not paired to the tablet.
If sensors from multiple QTUG™ kits have been swapped and need to be paired again, follow the instructions below (also on page 16 of QTUG™ user guide)
QTUG sensor data are anonymised and can be back-up automatically via Wi-Fi. More information can found in the QTUG™ user guide
Yes. Both Kinesis Gait™ and QTUG™ products can use the same sensors and tablet device.
Assessment of mobility and falls risk and frailty using QTUG™ should take no longer than 10 minutes.
Yes they can. However, we recommend that patients don’t use a mobility aid when doing the test as QTUG™ is more accurate when used without a mobility aid. QTUG™ will still work with a mobility aid but may underestimate falls risk and mobility impairment.
The Falls risk estimate produced by QTUG™ is a statistical estimate of the patients' current risk of having a fall and is based on a model of community dwelling older adults.
The Frailty estimate produced by QTUG™ is a statistical estimate of the patients' current level of Frailty based on Fried's frailty phenotype derived from a statistical model of community dwelling older adults.
The QTUG™ comparison to reference data is a statistical comparison the patients' mobility against average values for their age-group and gender based on a large reference population containing a variety of patients.
QTUG™ can be used to assess gait and mobility in patients suffering from Multiple Sclerosis, Parkinson’s and other patients with gait disorders.
QTUG™ can be used to assess patients in the home under supervised conditions. Take care to ensure the 3m walking distance is accurately measured and that the underfoot conditions are suitable for the test (e.g. free of clutter, no loose carpeting, at least 3.5 metres of uninterupted linear space).
To identify the QTUG™ or Kinesis Gait version on your device, you should do the following:
If you have any problems with QTUG™ which cannot be rectified immediately by using the User Guide or the FAQs, please call technical support or send us a message through the contact form.
In order for us to help you, please describe your problem as precisely as possible.
Email: support@kinesis.ie
Phone: +353-1-716-5402
Hotfix for QTUG 2.2 issue with raw data files
User Guide for QTUG™ v2.2.1
Added features:
Expanded reference data set (N=1,495)
Upgraded and improved backend web service
Improved frailty assessment
Bug fixes addressing issues reported by our customers
User Guide for QTUG™ v2.2
Added features:
Added gait symmetry index
Expanded reference data set
Improved algorithm accuracy
Improved error handling
Bug fixes
Added features:
Improved user interface
Improved falls risk estimate
Automatic assessment of Frailty
Improved interpretation and display of results
Customisable mobility assessment
Patient and clinician facing reports
End of life
Added features:
Low battery level indication from sensors
Improved error handling
Minor bug fixes
End of life
Added features:
Falls questionnaire
Graphical display of falls risk over time
Improved comparison to reference data
'Non falls-risk' mode
Ability to disable timing exceptions
End of life
Added feature:
One-way data backup via WiFi
End of life
First release of QTUG™
Added features:
Backend web service for remote backend of data
Automatic upgrade
Improved user interface
Performance improvement
Dedicated 6-minute walk mode
Kinesis Gait™ is now HIPAA compliant
User Guide for Kinesis Gait™ v1.1
First release of Kinesis Gait product