Biomedical Engineering Reference
In-Depth Information
Body Movement. The body movement is defined as the sum of head movement and
torso movement. The HR t indicates the average depth value of the head ROI in time t ,
and the TR t indicates the average depth value of the head ROI in time t . Then, the
absolute difference value between two adjacent images frames could be calculated by
Eq. 2. M t indicates the movement value of the user in time t .
M |HR HR ||TR TR | (2)
Sleep Position. In this system, two main sleep positions (supine position and side-
lying position) can be recognized. After the head and torso are detected, the highest
point of head ROI and torso ROI can be found. Then, the ratio of the highest head
point to torso point is calculated. Fig. 4 shows the highest point of head ROI (blue
dot) and torso ROI (red dot) in the side-lying position and supine position.
Fig. 4. Sleep Positions. Red dot indicates the highest point of torso ROI, and blue dot indicates
the highest point of head ROI
1300
Head
Body
1250
1237
1200
1234
1235
1224
1150
1263
1270
1100
1153
1147
1050
1000
Supine
Side Lying
Supine
Side Lying
Sleep without quilt
Sleep with a thin quilt
Fig. 5. The distance between the depth camera and the highest point of head ROI and torso ROI
in two positions (supine and side-lying) and two conditions (sleep with no quilt and sleep with
a thin quilt)
Next, the sleep position can be classified according to the ratio defined in equation
3. In order to find out the threshold to classify the sleep position, an experiment was
conducted to record five participant's (two females and three males) highest points of
head ROI and torso ROI in two sleep positions (side-lying and supine) and two condi-
tions (sleep with no quilt and sleep with a thin quilt) (Fig. 5). The results revealed that
the distance of the highest head point does not change significantly in different sleep
positions and conditions. However, the distance of the highest torso point changed
significantly in different sleep positions. The average ratio is -0.02633 in supine
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