High level data overview

General metrics calculated from the dataset.

Number of participants	311 subjects
Average age	57 years
Percentage men	51%
Total number of measurements	13,490
Median number of measurements / participant	20
Average number of measurements / participant	44
People with atrial fibrillation (AF)	30 (9.6%)
People with other cardiac arrhythmia’s	102 (32.8%)
Total number of heartbeats registered	916,808
Number of people without measurements	3

Demography calculations

Gender distribution

Percentage men:	51%
Avg age man:	55.8
Avg age women:	57.4
Oldest male participant:	88.2
Oldest female participant:	88.7

Age distribution

Total number of participants:	311
Average age:	57 years
Participants >40 years:	83%
Participants >60 years :	43%

Country distribution

Country with most users:	IT
Total countries:	3

Phone distribution

Most popular device:	Apple
Percentage iOS:	36%
Percentage insufficient quality:	6%

Medical History

Total	( 311 )
History of Heart Failure	8
History of Diabetes	22
History of Artery Disease	21
History of AF	68
History of hypertension	116
History of Stroke	23
Already takes a bloodthinner	86
Amount of filled in questionnaires	24
Amount of blank questionnaires	62
AF patients	( 29 ) / ( 311 )
History of Heart Failure	2
History of Diabetes	4
History of Artery Disease	0
History of AF	13
History of hypertension	15
History of Stroke	3
Already takes a bloodthinner	14
Amount of filled in questionnaires	24
Amount of blank questionnaires	5

Prescription activation information

Time series that plots the amount of prescriptions vs the date

## Warning: Removed 1 rows containing missing values (position_stack).

Peak activation - day:	2021-05-19
Peak activation - Time (UTC):	20

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):	12-2 PM
Total number of measurements received:	13490
Max number of tot. measurements / day:	89

Most compliant user (%):	1333%
Average number of measurements/user:	44
Average compliance (%):	73%

Diagnostics

Amount of people with Atrial Fibrillation:	30
Amount of people with other cardiac arrhythmia’s:	102
Average heart rate of non-AF people (bpm):	68
Average heart rate during AF (bpm):	81
Measurements with symptoms (%):	37%
AF-measurements with symptoms:	149
Most common symptom:	palpitations

Heart rhythm	Frequency	%
sinus	9839	72.9
extrasystoles_frequent	1124	8.3
extrasystoles_isolated	904	6.7
quality_to_low	844	6.3
atrial_fibrillation	408	3.0
tachycardia	123	0.9
extrasystoles_big_episode	105	0.8
extrasystoles_trig_episode	81	0.6
phone_incompatible	23	0.2
tachy_episode	14	0.1
extrasystoles_bigminy	7	0.1
increased_hrv	7	0.1
extrasystoles_trigeminy	6	0.0
atrial_flutter	2	0.0
brady_episode	2	0.0
bradycardia	1	0.0

Symptoms	Frequency	%
no_symptoms	8537	63.3
NA	1747	13.0
palpitations	1695	12.6
fatigue	562	4.2
shortness_of_breath	404	3.0
other	289	2.1
chest_pains	117	0.9
confused	113	0.8
lightheaded	26	0.2

Symptoms during sinus rhythms
Symptoms	Frequency	%
no_symptoms	6714	68.2
NA	1268	12.9
palpitations	842	8.6
fatigue	380	3.9
shortness_of_breath	237	2.4
other	191	1.9
chest_pains	101	1.0
confused	87	0.9
lightheaded	19	0.2

Symptoms during non-AF rhythms
Symptoms	Frequency	%
no_symptoms	989	42.2
palpitations	712	30.4
NA	303	12.9
fatigue	144	6.1
shortness_of_breath	111	4.7
other	58	2.5
confused	13	0.6
chest_pains	8	0.3
lightheaded	6	0.3

Symptoms during AF rhythms
Symptoms	Frequency	%
no_symptoms	260	63.4
palpitations	67	16.3
NA	43	10.5
other	17	4.1
fatigue	14	3.4
shortness_of_breath	8	2.0
chest_pains	1	0.2

Prescription types that are issued

type	cnt
30	624
90	3

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-17-1.html ' scrolling='no' frameBorder='0' seamless class='rChart http://timelyportfolio.github.io/rCharts_d3_sankey ' id=iframe- chartb64d7a5fd4b ></iframe> <style>iframe.rChart{ width: 100%; height: 400px;}</style>

from	to	type	next_type	cnt
1	2	D2P	B2C	4
1	2	D2P	D2P	50
1	2	D2P	FREE-TRIAL	47
1	2	Demo	D2P	1
1	2	FREE-TRIAL	B2C	1
1	2	FREE-TRIAL	D2P	21
1	2	D2P	out	185
2	3	B2C	B2C	3
2	3	D2P	B2C	1
2	3	D2P	D2P	27
2	3	D2P	FREE-TRIAL	4
2	3	FREE-TRIAL	B2C	6
2	3	FREE-TRIAL	D2P	7
2	3	FREE-TRIAL	FREE-TRIAL	1
2	3	B2C	out	2
2	3	D2P	out	40
2	3	FREE-TRIAL	out	33
3	4	B2C	B2C	3
3	4	B2C	D2P	1
3	4	D2P	D2P	27
3	4	FREE-TRIAL	D2P	1
3	4	B2C	out	6
3	4	D2P	out	7
3	4	FREE-TRIAL	out	4
4	5	B2C	B2C	3
4	5	D2P	D2P	21
4	5	D2P	FREE-TRIAL	1
4	5	D2P	out	7
5	6	B2C	B2C	3
5	6	D2P	D2P	12
5	6	FREE-TRIAL	D2P	1
5	6	D2P	out	9
6	7	B2C	B2C	3
6	7	D2P	D2P	9
6	7	D2P	out	4
7	8	B2C	B2C	2
7	8	D2P	D2P	8
7	8	B2C	out	1
7	8	D2P	out	1
8	9	B2C	B2C	2
8	9	D2P	D2P	4
8	9	D2P	out	4
9	10	B2C	B2C	2
9	10	D2P	D2P	2
9	10	D2P	out	2
10	11	B2C	B2C	2
10	11	D2P	D2P	2
11	12	B2C	B2C	2
11	12	D2P	D2P	2
12	13	B2C	B2C	2
12	13	D2P	D2P	2
13	14	B2C	B2C	2
13	14	D2P	D2P	2
14	15	B2C	B2C	2
14	15	D2P	D2P	1
14	15	D2P	out	1
15	16	B2C	B2C	2
15	16	D2P	D2P	1
16	17	B2C	B2C	2
16	17	D2P	D2P	1
17	18	B2C	B2C	2
17	18	D2P	D2P	1
18	19	B2C	B2C	1
18	19	B2C	out	1
18	19	D2P	out	1
19	20	B2C	B2C	1
20	21	B2C	out	1

Signal Quality Analysis

Average % of insufficient quality:	10.5%
Minimum % of insufficient quality:	0%
Maximum % of insufficient quality:	100%

Meas. attempts	Percentage (%)
0	0.0
1	80.6
2	5.9
3	1.4
4	0.5
5	0.2
6	0.0
7	0.0
8	0.0
9	0.0
10	0.0
11	0.0
18	0.0
NA	11.3

Activity context	Insufficient quality distribution (%)
sitting	64.5
NA	13.3
standing	11.8
walking	5.3
other	2.6
sleeping	1.5
exercising	0.9

Measurement analysis