High level data overview
General metrics calculated from the dataset.
|
Number of participants
|
73 subjects
|
|
Average age
|
66 years
|
|
Percentage men
|
62%
|
|
Total number of measurements
|
1,468
|
|
Median number of measurements / participant
|
21
|
|
Average number of measurements / participant
|
21
|
|
People with atrial fibrillation (AF)
|
13 (17.8%)
|
|
People with other cardiac arrhythmia’s
|
20 (27.4%)
|
|
Total number of heartbeats registered
|
101,094
|
|
Number of people without measurements
|
4
|
Demography calculations
Gender distribution
|
Percentage men:
|
62%
|
|
Avg age man:
|
65.5
|
|
Avg age women:
|
65.5
|
|
Oldest male participant:
|
84.5
|
|
Oldest female participant:
|
80.5
|
Age distribution
|
Total number of participants:
|
73
|
|
Average age:
|
66 years
|
|
Participants >40 years:
|
98%
|
|
Participants >60 years :
|
74%
|
Country distribution
|
Country with most users:
|
DE
|
|
Total countries:
|
2
|
Phone distribution
|
Most popular device:
|
samsung
|
|
Percentage iOS:
|
40%
|
|
Percentage insufficient quality:
|
5%
|
Medical History
|
Total
|
( 73 )
|
|
History of Heart Failure
|
4
|
|
History of Diabetes
|
10
|
|
History of Artery Disease
|
11
|
|
History of AF
|
70
|
|
History of hypertension
|
37
|
|
History of Stroke
|
9
|
|
Already takes a bloodthinner
|
56
|
|
Amount of filled in questionnaires
|
13
|
|
Amount of blank questionnaires
|
3
|
|
AF patients
|
( 13 ) / ( 73 )
|
|
History of Heart Failure
|
0
|
|
History of Diabetes
|
1
|
|
History of Artery Disease
|
2
|
|
History of AF
|
13
|
|
History of hypertension
|
6
|
|
History of Stroke
|
3
|
|
Already takes a bloodthinner
|
12
|
|
Amount of filled in questionnaires
|
13
|
|
Amount of blank questionnaires
|
0
|
Measurement behavior
Distribution of the time of day when measurements were taken. Note that the time is represented in the GMT timezone and not up to date with the current timezone!
|
Peak measurements (UTC):
|
6-8 AM
|
|
Total number of measurements received:
|
1468
|
|
Max number of tot. measurements / day:
|
67
|
|
Most compliant user (%):
|
264%
|
|
Average number of measurements/user:
|
21
|
|
Average compliance (%):
|
152%
|
Diagnostics
|
Amount of people with Atrial Fibrillation:
|
13
|
|
Amount of people with other cardiac arrhythmia’s:
|
20
|
|
Average heart rate of non-AF people (bpm):
|
68
|
|
Average heart rate during AF (bpm):
|
78
|
|
Measurements with symptoms (%):
|
23%
|
|
AF-measurements with symptoms:
|
42
|
|
Most common symptom:
|
palpitations
|
|
Heart rhythm
|
Frequency
|
%
|
|
sinus
|
1142
|
77.8
|
|
atrial_fibrillation
|
115
|
7.8
|
|
quality_to_low
|
78
|
5.3
|
|
extrasystoles_frequent
|
65
|
4.4
|
|
tachycardia
|
22
|
1.5
|
|
atrial_flutter
|
18
|
1.2
|
|
extrasystoles_big_episode
|
8
|
0.5
|
|
extrasystoles_trig_episode
|
8
|
0.5
|
|
tachy_episode
|
5
|
0.3
|
|
extrasystoles_bigminy
|
3
|
0.2
|
|
extrasystoles_isolated
|
3
|
0.2
|
|
bradycardia
|
1
|
0.1
|
|
Symptoms
|
Frequency
|
%
|
|
no_symptoms
|
1126
|
76.7
|
|
palpitations
|
113
|
7.7
|
|
other
|
73
|
5.0
|
|
fatigue
|
53
|
3.6
|
|
NA
|
42
|
2.9
|
|
shortness_of_breath
|
42
|
2.9
|
|
chest_pains
|
12
|
0.8
|
|
lightheaded
|
7
|
0.5
|
Symptoms during sinus rhythms
|
Symptoms
|
Frequency
|
%
|
|
no_symptoms
|
925
|
81.0
|
|
palpitations
|
67
|
5.9
|
|
other
|
55
|
4.8
|
|
NA
|
37
|
3.2
|
|
shortness_of_breath
|
25
|
2.2
|
|
fatigue
|
22
|
1.9
|
|
chest_pains
|
7
|
0.6
|
|
lightheaded
|
4
|
0.4
|
Symptoms during non-AF rhythms
|
Symptoms
|
Frequency
|
%
|
|
no_symptoms
|
73
|
67.0
|
|
palpitations
|
21
|
19.3
|
|
fatigue
|
4
|
3.7
|
|
other
|
4
|
3.7
|
|
chest_pains
|
3
|
2.8
|
|
NA
|
2
|
1.8
|
|
shortness_of_breath
|
2
|
1.8
|
Symptoms during AF rhythms
|
Symptoms
|
Frequency
|
%
|
|
no_symptoms
|
79
|
59.4
|
|
fatigue
|
24
|
18.0
|
|
palpitations
|
12
|
9.0
|
|
other
|
8
|
6.0
|
|
shortness_of_breath
|
7
|
5.3
|
|
lightheaded
|
2
|
1.5
|
|
chest_pains
|
1
|
0.8
|
Prescription types that are issued
Plot the correlation beetwen prescription duration and indication
Where do my patients come from, and where do they go
The following plot is a Sankey plot which shows the progress of your patients within the FibriCheck ecosystem. They start on the left side in a specific “group” and move then to the right side in the group where they ended. The table below visualises the SankeyPlot in a table format.
## <iframe src=' MacroReport_files/figure-html/unnamed-chunk-19-1.html ' scrolling='no' frameBorder='0' seamless class='rChart http://timelyportfolio.github.io/rCharts_d3_sankey ' id=iframe- chart185fd23ac3f56 ></iframe> <style>iframe.rChart{ width: 100%; height: 400px;}</style>
|
from
|
to
|
type
|
next_type
|
cnt
|
|
1
|
2
|
D2P
|
D2P
|
3
|
|
1
|
2
|
D2P
|
FREE-TRIAL
|
3
|
|
1
|
2
|
FREE-TRIAL
|
D2P
|
10
|
|
1
|
2
|
D2P
|
out
|
57
|
|
2
|
3
|
D2P
|
B2C
|
1
|
|
2
|
3
|
FREE-TRIAL
|
FREE-TRIAL
|
2
|
|
2
|
3
|
D2P
|
out
|
12
|
|
2
|
3
|
FREE-TRIAL
|
out
|
1
|
|
3
|
4
|
B2C
|
out
|
1
|
|
3
|
4
|
FREE-TRIAL
|
out
|
2
|
Signal Quality Analysis
|
Average % of insufficient quality:
|
5.62%
|
|
Minimum % of insufficient quality:
|
0%
|
|
Maximum % of insufficient quality:
|
90%
|
|
Meas. attempts
|
Percentage (%)
|
|
1
|
88.3
|
|
2
|
5.0
|
|
3
|
1.0
|
|
4
|
0.7
|
|
5
|
0.1
|
|
6
|
0.2
|
|
7
|
0.1
|
|
NA
|
4.6
|
|
Activity context
|
Insufficient quality distribution (%)
|
|
sitting
|
53.8
|
|
walking
|
19.2
|
|
standing
|
10.3
|
|
sleeping
|
7.7
|
|
exercising
|
5.1
|
|
NA
|
3.8
|
|
other
|
0.0
|
