Key metrics



Number of participants 1,194 subjects
Average age 53 years
Percentage men 56%
Total number of measurements 3,394
Median number of measurements / participant 2
Average number of measurements / participant 3
People with atrial fibrillation (AF) 5 (0.4%)
People with other cardiac arrhythmia’s 47 (3.9%)
Total number of heartbeats registered 220,121

Demography



The following section addresses data related to the background of the enrolled participants. Data is coming from the gender, the registered age, the country of origin and the type of smartphone the user is handling.

Avg age man: 56.4
Avg age women: 48.9
Oldest male participant: 78.5
Oldest female participant: 84.2
Total number of participants: 1194
Average age: 53 years
Participants >40 years: 83%
Participants >60 years : 35%
Country with most users: BE
Total countries: 4
Most popular device: Apple
Percentage iOS: 43%


MEDICAL HISTORY

When users have performed their first measurement they are prompted with a screen that allows them to enter a questionnaire. This questionnaire consists of a set of questions that relate to cardiovascular risk factors. The questionnaire is optional and participants can skip these questions if they want. The table below shows a high-level overview of the cardiovascular risk profile of this population.


History of Heart Failure 16
History of Diabetes 15
History of Artery Disease 26
History of AF 42
History of hypertension 172
History of Stroke 18
Already takes a bloodthinner 106
Amount of filled in questionnaires 1123
Amount of blank questionnaires 71

Enrollment

The following data provides insight in the enrollment details of the population. This is relevant information to identify peak moments when participants activated their subscription.
Peak activation - day: 2021-09-28
Peak activation - Time (UTC): 9



Peam measurements (UTC): 12-2 PM
Total number of measurements received: 3394
Max number of tot. measurements / day: 1798


Most compliant user (%): 1450%
Average number of measurements/user: 3
Average compliance (%): 150%


Diagnostics



This section will cover the findings based on heart rhythm disorders. The table on the left represents the amount of measurements received and the corresponding confirmation of heart rhythms indicated by the FibriCheck Telemonitoring Center. The table on the right represents the findings of symptoms throughout all measurements.



Amount of people with Atrial Fibrillation: 5
Amount of people with other cardiac arrhythmia’s: 47
Average heart rate of non-AF people (bpm): 65
Average heart rate during AF (bpm): 78
Measurements with symptoms (%): 17%
AF-measurements with symptoms: 3
Most common symptom: fatigue



Heart rhythm Frequency %
sinus 2448 72.1
extrasystoles_isolated 491 14.5
quality_to_low 331 9.8
extrasystoles_frequent 68 2.0
tachycardia 15 0.4
extrasystoles_big_episode 11 0.3
increased_hrv 11 0.3
atrial_fibrillation 8 0.2
extrasystoles_trig_episode 5 0.1
bradycardia 2 0.1
extrasystoles_bigminy 2 0.1
phone_incompatible 1 0.0
tachy_episode 1 0.0






Symptoms Frequency %
no_symptoms 2821 83.1
fatigue 207 6.1
NA 97 2.9
palpitations 96 2.8
lightheaded 44 1.3
shortness_of_breath 44 1.3
chest_pains 41 1.2
other 40 1.2
confused 4 0.1



Symptoms during sinus rhythms
Symptoms Frequency %
no_symptoms 1031 83.8
fatigue 84 6.8
NA 36 2.9
palpitations 21 1.7
lightheaded 17 1.4
shortness_of_breath 16 1.3
chest_pains 12 1.0
other 12 1.0
confused 1 0.1
Symptoms during non-AF rhythms
Symptoms Frequency %
no_symptoms 1994 82.7
fatigue 144 6.0
palpitations 78 3.2
NA 67 2.8
shortness_of_breath 34 1.4
lightheaded 32 1.3
other 30 1.2
chest_pains 29 1.2
confused 2 0.1
Symptoms during AF rhythms
Symptoms Frequency %
no_symptoms 2 66.7
fatigue 1 33.3



Signal Quality Analysis



When people are using FibriCheck there is an important element related to the usability of the application. The measurements conducted with the smartphone are sensitive to possible sources of noise. If this occurs the signals cannot be analysed for diagnostic purposes. On average the insufficient quality range on a population is around 10%. The results obtained in this project can be found in the table on the left. The table in the middle represents how easy it was for users to conduct a measurement. The attempts reflect how many times a measurement was restarted by the user before it was succesful. On average a number of 85% is observed. A possible reason for insufficient quality could be related to the contextual information. The table on the right illustrtes the relation between the total amount of insufficient singal quality compared to the context activity the users indicated when the measurement was conducted.

Average % of insufficient quality: 7.21%
Minimum % of insufficient quality: 0%
Maximum % of insufficient quality: 100%
Meas. attempts Percentage (%)
0 0.1
1 49.8
2 4.9
3 0.9
4 0.2
5 0.1
7 0.0
10 0.0
NA 44.0
Activity context Insufficient quality distribution (%)
sitting 80.7
standing 8.5
other 3.3
walking 3.0
sleeping 2.1
NA 1.8
exercising 0.6

Rhythm recordings



These graphs highlight some of the use cases identified in this project. The graphs represent the all the measurement data from a subject and visualised on timeline (days). The y-axis reflects the heart-rate of each measurement and the color reflects the corresponding heart rhythm. Green indicates a regular heart rhythm, yellow indicates unclassified heart rhythms (typically ectopic heart beats), red illustrates possible atrial fibrillation findings and blue indicates measurements of insufficient signal quality.