Skip to main content

Table 6 The best-performing time window setups for the participant-wise training models

From: Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors

Participant

Figure of merit

All features

Time and non-linear features

Frequency features

Overlap

No overlap

Overlap

No overlap

Overlap

No overlap

P1

Window length

5 min

4 min

4, 5 min

5 min

5 min

4 min

F1 score

100%

100%

100%

90.0%

97.5%

100%

P2

Window length

4 min

5 min

5 min

2 min

5 min

3 min

F1 score

96.8%

92.1%

95.5%

90.7%

89.4%

92.4%

P3

Window length

4, 5 min

5 min

5 min

5 min

4 min

4 min

F1 score

100%

100%

99.0%

100%

97.1%

94.6%

P4

Window length

4, 5 min

3 min

4, 5 min

5 min

2 min

4 min

F1 score

100%

98.6%

100%

100%

96.7%

94.7%

P5

Window length

4 min

5 min

4, 5 min

5 min

3 min

5 min

F1 score

99.5%

100%

100%

100%

96.4%

100%

P6

Window length

5 min

96.2%

3 min

5 min

5 min

4 min

F1 score

100%

100%

98.0%

100%

95.6%

94.6%

P7

Window length

4, 5 min

all

1, 4, 5 min

5 min

4 min

5 min

F1 score

100%

100%

100%

100%

100%

100%

Average

F1 score

99.47%

98.67%

98.93%

97.24%

96.10%

96.61%