Inventory and taxonomy of pattern metrics

A wide range of analytical approaches have been suggested to quantify variation over time in physical behaviour. Kobeissi et al reviewed the literature (https://doi.org/10.1123/jmpb.2024-0035) and identified 161 different metrics that had been applied in physical activity research, see the inventory below.

The authors proposed a taxonomy that describes conceptual dimensions of these metrics and help guide selection of metrics for different research questions, see the taxonomy table below. 


Stage

Node#

Node

Branch1

Branch2

Branch3

 

Code

 

I. Data preparation

1

Data format

Raw signal

 


1.1

Counts/steps

1.2

Either raw signal or counts/steps

1.3

Microsummary metrics

1.4

Any of the above

1.5

Other

1.6

 


2

Input derivation method

Predefined

 


2.1

Data-driven

2.2

Either/or

2.3

 


II. Input movement behaviour dimensions

3

Inclusion of posture

Always included

 


3.1

Could be included

3.2

Not included

3.3

 


4

Inclusion of volume

Always included

 


4.1

Could be included

4.2

Not included

4.3

 


5

Inclusion of frequency

Always included

Number of bouts/breaks

 


5.1.1

Number of peaks/fluctuations

5.1.2

Number of specific sequences

5.1.3

Other

5.1.4

Could be included

 


5.2

Not included

5.3

 


6

Inclusion of duration

Always included

Unbouted

 


6.1.1

Bouted

Bout length specified

6.1.2.1

Bout length not specified

6.1.2.2

Either/or

 


6.1.3

Could be included

 


6.2

Not included

6.3

 


7

Inclusion of intensity

Always included

Binary state

 


7.1.1

Multicategory

7.1.2

Either binary or multicategory

7.1.3

Continuous

7.1.4

Any of the above

7.1.5

Could be included

 


7.2

Not included

7.3

 


III. Output measures

8

Pattern definition

Comparison

 


 


8.1

Intensity distribution

Metrics summarising intensity distribution

8.2.1

Cyclical rhythm of activity

8.2.2

Absolute timing

Cyclical rhythm of activity

8.3.1

Metrics of absolute time

8.3.2

Regularity of movement

Direct measures

8.4.1

Indirect measures: frequency of bouts

8.4.2

Indirect measures: bout length

8.4.3

Indirect measures: frequency & bout length

8.4.4

Indirect measures: volume/duration with MBD*

8.4.5

Indirect measures: categorisation

8.4.6

Indirect measures: stability

8.4.7

Indirect measures: complexity

8.4.8

Temporal sequence

 


8.5

Attributed variance

8.6

Other

8.7

 


IV. Output derivation method

9

Computational methods on input

Descriptive Analysis Methods

 


9.1

Inferential Statistical Methods

9.2

Dimensionality Reduction Methods

9.3

Clustering and Classification Methods

9.4

Complex Systems Analysis Methods

9.5

Other

9.6

 

*MBD: minimum bout duration