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. 2019 Dec 31;8(1):11. doi: 10.3390/healthcare8010011

Table 2.

A table of sensor data to be collected and the initial analyses to be applied.

Sensor Measurement,
Example Data Points
Analysis Output Parameters
Seat occupancy Time of seat entry
Time of seat exit

Date  Time  Data
2017-08-21; 12:33:45;1
2017-08-21; 12:33:45;0
Continuous seat occupancy profile:
Identification of initiation time, duration and exit time of each seat occupancy event.
Weekly seat occupancy ratio (occupied time / unoccupied time)—for what proportion of the day is the seat used on average?
Mean seat occupied session duration per week—how long is each session?
Mean daily seat occupancy profile per week—when is the seat used?
Seat entry frequency per week—How often is the seat used?
3 axis integrated accelerometer Night
Accelerations of the wrist and ankle (aW and aA)

Date   Time   x y z
2017-08-21; 12:33:45.67;123;456;243
Night
Acceleration vector magnitude:
|a|=ax2+ay2+az2
Times when acceleration vector magnitude is above and below sleep/awake threshold.
Night
Sleep quality index—proportion of time in motion above threshold intensity—How well does the child sleep?
Sleep time—total time per night not in motion above threshold intensity—For how much time is the child asleep each night?
Day
Accelerations of spine (vertebra T1) and left and right thighs during seat use: (aS, aTL and aTR)
Day
Intensity of motion:
time averaged amplitude of xyz acceleration vector
time averaged amplitude of jerk (rate of change of acceleration)
Day
Motion profile—How active is the child throughout the day?
Maximum and minimum motion intensities—What are the maximum and minimum activity levels? When do they occur?
9 degree of freedom motion and orientation sensor Movement of the child’s wrist during a reaching task.
Measurement of the acceleration, rotation and geomagnetic field orientation of the child’s wrist.
3 axis acceleration (accelerometers)
3 axis rotation (gyroscopes)
3 axis geomagnetic field orientation (magnetometers)
Motion path of the child’s wrist derived from acceleration and orientation data
Output parameters are to be determined from analysis of the data in the context of the video and PQRS assessment. Parameters sought are to be representative of the ‘smoothness’ and efficiency of the child’s hand motion.