Number of participants 137 subjects
Average age 61 years
Percentage men 60%
Total number of measurements 50,438
Median number of measurements / participant 148
Average number of measurements / participant 371
People with atrial fibrillation (AF) 69 (50.4%)
People with other cardiac arrhythmia’s 99 (72.3%)
Total number of heartbeats registered 3,359,487

Demography calculations

Gender distribution

Percentage men: 60%
Avg age man: 61.5
Avg age women: 59.7
Oldest male participant: 77.6
Oldest female participant: 83.4

Age distribution

Total number of participants: 137
Average age: 61 years
Participants >40 years: 93%
Participants >60 years : 59%

Country distribution

Country with most users: BE
Total countries: 8

Phone distribution

Most popular device: Apple
Percentage iOS: 37%
Percentage insufficient quality: 4%

Medical History

Total ( 137 )
History of Heart Failure 20
History of Diabetes 8
History of Artery Disease 8
History of AF 109
History of hypertension 45
History of Stroke 4
Already takes a bloodthinner 77
Amount of filled in questionnaires 60
Amount of blank questionnaires 8
AF patients ( 63 ) / ( 137 )
History of Heart Failure 12
History of Diabetes 4
History of Artery Disease 4
History of AF 51
History of hypertension 26
History of Stroke 3
Already takes a bloodthinner 41
Amount of filled in questionnaires 60
Amount of blank questionnaires 3 
plot_left_2_df <-     
    prescriptions %>% 
        select(paid_timestamp) %>% 
          mutate(date=as.POSIXct((paid_timestamp/1000) ,origin = "1970-01-01 00:00:00:000")) %>% 
        group_by(date=as.Date(date)) %>% 
        summarise(cnt=n()) %>% 
        ungroup %>% 
        mutate(cnt_=round(cnt/sum(cnt)*100,1)
              ,cnt__=round(cnt/sum(cnt),2))

ggplot(plot_left_2_df, aes(x=date, y=cnt, fill="#F8766D")) +
  geom_bar(stat="identity")+theme_minimal() + theme(legend.position = "none")
## Warning: Removed 1 rows containing missing values (position_stack).

peck_hour <- 
    prescriptions %>% 
    select(paid_timestamp) %>% 
    ## https://www.freeformatter.com/epoch-timestamp-to-date-converter.html
    mutate(hour=hour(as.POSIXct((paid_timestamp/1000) ,origin = "1970-01-01 00:00:00:000"))) %>% 
    group_by(hour) %>% 
    summarise(cnt=n()) %>% 
    arrange(-cnt) %>% head(1) %>% .[[1]]
    
rbind(`Peak activation - day:` = as.character(as.Date(plot_left_2_df %>% arrange(-cnt) %>% head(1) %>% .[[1]],origin='1970-01-01'))
      ,`Peak activation - Time (UTC):` = peck_hour
      ) %>%
    kable() %>%
    kable_styling(
        bootstrap_options = c("hover", "condensed", "responsive"),
        full_width = T,
        font_size = 14)
Peak activation - day: NA
Peak activation - Time (UTC): 10

Peak measurements (UTC): 6-8 AM
Total number of measurements received: 50438
Max number of tot. measurements / day: 99

Most compliant user (%): 21121%
Average number of measurements/user: 371
Average compliance (%): 2649%

Diagnostics

Amount of people with Atrial Fibrillation: 69
Amount of people with other cardiac arrhythmia’s: 99
Average heart rate of non-AF people (bpm): NA
Average heart rate during AF (bpm): 84
Measurements with symptoms (%): 42%
AF-measurements with symptoms: 1801
Most common symptom: palpitations
Heart rhythm Frequency %
sinus 39619 78.5
extrasystoles_isolated 2704 5.4
atrial_fibrillation 2298 4.6
quality_to_low 1832 3.6
extrasystoles_frequent 1737 3.4
extrasystoles_big_episode 570 1.1
tachycardia 524 1.0
248 0.5
extrasystoles_trig_episode 216 0.4
atrial_flutter 147 0.3
extrasystoles_bigminy 144 0.3
tachy_episode 130 0.3
bradycardia 123 0.2
extrasystoles_trigeminy 63 0.1
phone_incompatible 32 0.1
increased_hrv 22 0.0
dubious_rhythm 19 0.0
other 7 0.0
brady_episode 3 0.0
Symptoms Frequency %
no_symptoms 29414 58.3
NA 11101 22.0
palpitations 3160 6.3
other 2603 5.2
fatigue 2380 4.7
shortness_of_breath 657 1.3
lightheaded 462 0.9
chest_pains 404 0.8
confused 257 0.5

Symptoms during sinus rhythms
Symptoms Frequency %
no_symptoms 25008 63.1
NA 9143 23.1
fatigue 1751 4.4
other 1491 3.8
palpitations 1312 3.3
shortness_of_breath 317 0.8
lightheaded 277 0.7
chest_pains 246 0.6
confused 74 0.2
Symptoms during non-AF rhythms
Symptoms Frequency %
no_symptoms 2777 47.1
palpitations 995 16.9
NA 756 12.8
other 594 10.1
fatigue 396 6.7
shortness_of_breath 181 3.1
lightheaded 89 1.5
confused 72 1.2
chest_pains 35 0.6
Symptoms during AF rhythms
Symptoms Frequency %
NA 560 22.9
palpitations 553 22.6
no_symptoms 539 22.0
other 321 13.1
fatigue 158 6.5
confused 103 4.2
shortness_of_breath 92 3.8
chest_pains 62 2.5
lightheaded 57 2.3

Signal Quality Analysis

Average % of insufficient quality: 6.87%
Minimum % of insufficient quality: 0%
Maximum % of insufficient quality: 50%
Meas. attempts Percentage (%)
0 0.3
1 83.8
2 5.2
3 1.0
4 0.3
5 0.1
6 0.0
7 0.0
8 0.0
9 0.0
NA 9.3
Activity context Insufficient quality distribution (%)
sitting 67.6
NA 13.8
standing 6.2
walking 5.5
exercising 2.9
other 2.0
sleeping 2.0

Rhythm recordings