-
Notifications
You must be signed in to change notification settings - Fork 6
/
Copy path_pkgdown.yml
122 lines (119 loc) · 4.04 KB
/
_pkgdown.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
url: https://mhealthgroup.github.io/MIMSunit
destination: docs/
reference:
- title: "Top-level API for MIMS-unit algorithm"
desc: >
Function to compute MIMS-unit value and estimate sensor orientation.
contents:
- mims_unit_from_files
- mims_unit
- sensor_orientations
- custom_mims_unit
- shiny_app
- title: "File IO"
desc: >
Functions for importing or exporting data for various data formats.
contents:
- starts_with("import")
- starts_with("export")
- title: "Datasets"
desc: >
Processed datasets that store the results in the manuscript and supplementary material.
contents:
- cv_different_algorithms
- measurements_different_devices
- sample_raw_accel_data
- conceptual_diagram_data
- rest_on_table
- edge_case
- title: "Signal Filtering"
desc: "Functions to filter multi-channel accelerometer signal."
contents:
- iir
- bandlimited_interp
- title: "Signal transformation"
desc: "Functions to transform the multi-channel accelerometer signal."
contents:
- compute_orientation
- sum_up
- vector_magnitude
- title: "Signal extrapolation"
desc: "Functions to extrapolate multi-channel accelerometer signal."
contents:
- extrapolate
- extrapolate_rate
- title: "Signal aggregation"
desc: "Functions to aggregate over epochs of multi-channel accelerometer signal."
contents:
- aggregate_for_mims
- aggregate_for_orientation
- title: "Util functions"
desc: >
Utility functions.
contents:
- sampling_rate
- parse_epoch_string
- cut_off_signal
- interpolate_signal
- simulate_new_data
- clip_data
- segment_data
- title: "Visualization helper functions"
desc: >
Functions to help visualizing signals, intermediate results and MIMS-unit results.
contents:
- illustrate_signal
- illustrate_extrapolation
- generate_interactive_plot
development:
mode: auto
destination: /
authors:
Qu Tang:
href: https://qutang.dev
html: <img class='img-circle p-3' src="https://d33wubrfki0l68.cloudfront.net/8af2089476f179254b3bc9628e13f7d143acab42/8309e/images/avatar.jpg" height="40" /><span> Qu Tang</span>
Dinesh John:
href: "https://bouve.northeastern.edu/directory/dinesh-john/"
html: <img class='img-circle p-3' src="https://banner2.kisspng.com/20180410/bbw/kisspng-avatar-user-medicine-surgery-patient-avatar-5acc9f7a7cb983.0104600115233596105109.jpg" height="40" /><span> Dinesh John</span>
Stephen Intille:
href: "http://www.ccs.neu.edu/home/intille/"
html: <img class='img-circle p-3' src="http://www.ccs.neu.edu/home/intille/intille-headshot-sm2.jpg" height="40" /><span> Stephen Intille</span>
mHealth Research Group:
href: "https://mhealthgroup.org"
html: <img src="https://www.mhealthgroup.org/uploads/1/1/1/1/111147333/unnamed.gif" height="24" />
template:
bootstrap: 3
params:
ganalytics: UA-38342303-3
navbar:
title: "MIMSunit"
left:
- text: "Get Started"
menu:
- text: "Compute MIMS-unit from files"
href: articles/mims_unit_from_files.html
- text: "Compute MIMS-unit from imported data"
href: articles/mims_unit_from_imported_data.html
- text: "Datasets"
href: articles/datasets.html
- text: "Algorithm Walkthrough"
menu:
- text: "Step-by-step illustration"
href: articles/conceptual_diagram.html
- text: "Deciding truncation threshold"
href: articles/truncation_threshold.html
- text: "Performances"
menu:
- text: "Cross device consistency"
href: articles/cross_device_consistency.html
- text: "Performance under edge conditions"
href: articles/edge_cases.html
- text: "API References"
href: "reference/index.html"
- text: "Changelogs"
href: "news/index.html"
- text: "FAQs"
href: "articles/faq.html"
right:
- icon: fa-lg fa-github
href: https://github.com/mhealthgroup/mimsunit