In some studies it appears that we occasionally classify non-wear in the middle of an SPT window. This was also reported in google group.
Theories for what causes this:
These individuals truly do not move for more than an hour during sleep, maybe caused by medication?
Modern accelerometers are less sensitive to minor real body movements during sleep or have less noise.
Possible approaches to address this:
Investigate whether a slightly lower thresholds makes a big difference? => does not look promising
Investigate whether a slightly longer nonwear detection window helps. => not desirable as it affects resolution.
In part 5 re-label non-wear as wear if it happens in the middle of an SPT window. Not sure this is ideal the sensor also truly not be worn during the SPT window. => This is not ideal as it means that data needs to be un-inputed
In some studies it appears that we occasionally classify non-wear in the middle of an SPT window. This was also reported in google group.
Theories for what causes this:
Possible approaches to address this:
Investigate whether a slightly lower thresholds makes a big difference?=> does not look promisingInvestigate whether a slightly longer nonwear detection window helps.=> not desirable as it affects resolution.In part 5 re-label non-wear as wear if it happens in the middle of an SPT window. Not sure this is ideal the sensor also truly not be worn during the SPT window.=> This is not ideal as it means that data needs to be un-inputed