- All data generated here is pseudominized
- All data is based on patient generated data, the measurements, symptoms, demographics and medical history
- This report is designed to give you an insight on the selected population you manage with FibriCheck.
- This report is based on input from our partners and can be improved based on your feedback. Share your ideas to support@fibricheck.com
25/12/2021
Disclaimer
High level data overview
The following table shows general metrics calculated from your dataset.
| Number of participants | 168 subjects |
| Average age | 46 years |
| Percentage men | 55% |
| Total number of measurements | 11,219 |
| Median number of measurements / participant | 30 |
| Average number of measurements / participant | 76 |
| People with atrial fibrillation (AF) | 17 (10.1%) |
| People with other cardiac arrhythmia’s | 77 (45.8%) |
| Total number of heartbeats registered | 803,055 |
| Number of people without measurements | 21 |
Demography calculations
The following section addresses data related to the background of the enrolled participants. Data is coming from the gender.
| Total number of patients: | 168 |
| Percentage men: | 55% |
| Avg age men: | 48.5 |
| Avg age female: | 43.4 |
| Oldest male participant: | 86 |
| Oldest female participant: | 79.3 |
Age distribution
The following section addresses data related to the background of the enrolled participants. Data is coming from the registered age.
| Total number of patients: | 168 |
| Average age: | 46 years |
| Participants >40 years: | 67% |
| Participants >50 years: | 40% |
| Participants >60 years : | 19% |
| Participants >70 years : | 7% |
| Participants >80 years : | 1% |
Country distribution
The countries where your patients came from.
| Country with most users: | GB |
| Total countries: | 21 |
Phone distribution
An overview of which types of smartphones your patients use.
| Most popular device: | Apple |
| Percentage iOS: | 59% |
| Average % insufficient quality: | 4% |
Phone performance
Amount of measurements per phone and the distribution of insufficient quality by phone manufacturer
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
| Total | 168 patients |
| History of Heart Failure | 5 |
| History of Diabetes | 13 |
| History of Artery Disease | 8 |
| History of AF | 24 |
| History of hypertension | 39 |
| History of Stroke | 13 |
| Already takes a bloodthinner | 25 |
| Amount of filled in questionnaires | 152 / 90.50% |
| Amount of blank questionnaires | 16 / 9.50% |
Medical History of AFib patients
- 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 profie of patients that had possible atrial fibrillation based on the FibriCheck measurements
| AF patients | 17 of 168 patients |
| History of Heart Failure | 0 |
| History of Diabetes | 0 |
| History of Artery Disease | 0 |
| History of AF | 6 |
| History of hypertension | 5 |
| History of Stroke | 2 |
| Already takes a bloodthinner | 5 |
| Amount of filled in questionnaires | 17 / 100.00% |
| Amount of blank questionnaires | 0 / 0.00% |
Prescription activation information
- The following data provides insight in the enrollment details of the population. This is relevant information to identify the peak moments when patients activated their prescription.
| Peak activation - day: | 2022-01-04 |
| Peak activation - Time (UTC): | 16 h |
Measurement intensity
- The following data provides insight in the measurement behaviour of the population.
- This is relevant information to identify peak moments when participants performed FibriCheck measurements.
Measurement behavior
- The following data provides insight in the measurement behaviour of the population.
- This is relevant information to identify peak moments when participants performed FibriCheck measurements.
| Peak measurements (GMT): | 12-2 PM |
| Total number of measurements received: | 11219 |
| Max number of total measurements / day: | 237 |
User compliance and motivation
- Users are asked to take 2 measurements per day and additional measurements when feeling symptoms.
- Motivation: number of days in which 2 measurements were performed per day for the duration of the entire prescribed period.
- Compliance: number of performed measurements per number of expected measurements over the prescription period (in the manuscript, it called ‘adherence’).
Average number of measurements
Average number of measurements per age category.
| Most compliant user (%): | 616% |
| Average number of measurements/user: | 76 |
| Average compliance (%): | 50% |
Diagnostics overview
This overview covers the findings based on the FibriCheck measurements.
| Amount of people with Afib: | 17 |
| Amount of atrial fibrillation measurements | 299 |
| Amount of people with other cardiac arrhythmias: | 77 |
| Average heart rate of non-AF people (bpm): | 72 |
| Average heart rate during AF (bpm): | 74 |
| Measurements with symptoms (%): | 43% |
| Afib measurements with symptoms: | 57% |
| Most common symptom: | palpitations |
Heart rhythm & Symptom findings
Contingency table showing the heart rhythm and symptom correlation.
Heart rhythm & Symptom findings
| Rhythm | Blank | Chestpain | confused | Fatigue | Lightheaded | No symptoms | Other | Palpitations | Shortness of breath |
|---|---|---|---|---|---|---|---|---|---|
| atrial_fibrillation | 10 | 0 | 0 | 0 | 1 | 130 | 15 | 142 | 1 |
| atrial_flutter | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 |
| brady_episode | 0 | 3 | 0 | 13 | 3 | 7 | 7 | 12 | 2 |
| bradycardia | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 0 |
| dubious_rhythm | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| extrasystoles_big_episode | 8 | 1 | 0 | 9 | 3 | 73 | 25 | 28 | 1 |
| extrasystoles_bigminy | 1 | 0 | 0 | 0 | 0 | 8 | 0 | 6 | 0 |
| extrasystoles_frequent | 32 | 13 | 1 | 46 | 19 | 581 | 99 | 262 | 12 |
| extrasystoles_isolated | 100 | 30 | 4 | 87 | 61 | 1256 | 180 | 452 | 18 |
| extrasystoles_trig_episode | 1 | 0 | 0 | 1 | 0 | 13 | 5 | 16 | 0 |
| extrasystoles_trigeminy | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 |
| increased_hrv | 3 | 1 | 0 | 3 | 2 | 54 | 3 | 55 | 1 |
| phone_incompatible | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
| quality_to_low | 30 | 13 | 1 | 19 | 19 | 194 | 27 | 81 | 6 |
| sinus | 510 | 108 | 24 | 317 | 299 | 4054 | 583 | 708 | 93 |
| tachy_episode | 0 | 0 | 0 | 2 | 6 | 8 | 1 | 2 | 1 |
| tachycardia | 4 | 2 | 6 | 21 | 27 | 32 | 1 | 64 | 19 |
Symptoms for regular rhythms
| Symptoms | Frequency | % |
|---|---|---|
| no_symptoms | 4054 | 60.5 |
| palpitations | 708 | 10.6 |
| other | 583 | 8.7 |
| NA | 510 | 7.6 |
| fatigue | 317 | 4.7 |
| lightheaded | 299 | 4.5 |
| chest_pains | 108 | 1.6 |
| shortness_of_breath | 93 | 1.4 |
| confused | 24 | 0.4 |
Symptoms for non regular rhythms
| Symptoms | Frequency | % |
|---|---|---|
| no_symptoms | 1963 | 54.1 |
| palpitations | 828 | 22.8 |
| other | 310 | 8.5 |
| fatigue | 164 | 4.5 |
| NA | 146 | 4.0 |
| lightheaded | 110 | 3.0 |
| shortness_of_breath | 50 | 1.4 |
| chest_pains | 46 | 1.3 |
| confused | 11 | 0.3 |
| Symptoms | Frequency | % |
|---|---|---|
| palpitations | 144 | 47.7 |
| no_symptoms | 131 | 43.4 |
| other | 15 | 5.0 |
| NA | 10 | 3.3 |
| lightheaded | 1 | 0.3 |
| shortness_of_breath | 1 | 0.3 |
Prescription types and durations
| Duration | Amount |
|---|---|
| 30 | 7 |
| 35 | 172 |
| 360 | 3 |
| 365 | 5 |
| 370 | 42 |
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 8%
Measurement attempts
- The measurement attempts reflect how many times a measurement was restarted by the user before it was successful. A possible reason for insufficient quality could be related to the contextual information.
- The table on the right illustrates the relation between the total amount of insufficient signal quality compared to the context activity the users indicated when the measurement was conducted
| Meas. attempts | Percentage (%) |
|---|---|
| 1 | 33.8 |
| 2 | 3.6 |
| 3 | 1.1 |
| 4 | 0.3 |
| 5 | 0.2 |
| 6 | 0.1 |
| 7 | 0.0 |
| 9 | 0.0 |
| 10 | 0.0 |
| 12 | 0.0 |
| 14 | 0.0 |
| NA | 60.9 |
| Activity context | Insufficient quality distribution (%) |
|---|---|
| sitting | 65.1 |
| standing | 14.9 |
| NA | 6.9 |
| sleeping | 5.1 |
| walking | 3.3 |
| exercising | 2.6 |
| other | 2.1 |
Individual plots
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