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Results proven by science,

not by marketing.


Atrial fibrillation can be diagnosed using a combined wrist-worn photoplethysmography and electrocardiography (Clinical Trial 2022, Harri Saarinen et al.)

Wrist-worn device combining continuous PPG and intermittent ECG measurements can be reliably used in detecting atrial fibrillation in ambulatory conditions. The user-friendliness and unobtrusiveness of wrist-worn technology enables virtually unlimited monitoring time thus facilitating the detection of rarely occurring AF episodes. The information from PPG-based continuous rhythm monitoring could also be used for the estimation of AF burden.

The Accuracy of Atrial Fibrillation Detection from Wrist Photoplethysmography. A Study on Post-Operative Patients (EMBC 2018 Tarniceriu et al)

Detection of atrial fibrillation (AF) from wrist optical signals for 29 post-surgery patients. 15 patients had sinus rhythm and 14 patients had AF during the recordings. AF was detected for windows of 20 consecutive IBI with 98.45 sensitivity and 99.13 specificity. The results show that wrist photoplethysmography is suitable for long term monitoring and AF screening. In addition, this technique provides a more comfortable alternative to ECG devices.

Accuracy of Beat-to-Beat Heart Rate Estimation Using PulseOn OHR Monitor (PulseOn whitepaper)

Detection of beat-to-beat intervals during daily-life continuous monitoring. Unreliable beat-to-beat intervals caused by motion and other interference are automatically detected. The technology is validated on 494.4 hours of data, from subjects with both sinus rhythm and arrhythmias. 88% of the data is classified as reliable during sleep and 32.4% during daily activities. The mean absolute error is 8.84 ms, in close agreement with the ECG reference. The results show that PulseOn provides the reliability and accuracy needed for long-term HRV monitoring and arrhythmia detection.

Atrial Fibrillation Detection Using PulseOn Technology (PulseOn whitepaper)

Detection of atrial fibrillation from optical signals using the PulseOn technology. The algorithm is evaluated on two sets of data, of 45.48 and 248.30 hours, respectively. AF episodes as short as 30 seconds can be detected with sensitivity above 98%. The specificity is above 99%. This performance is comparable to or better than previous studies using ECG data. Unreliable intervals are automatically detected to minimize the risk of false alarms.

HRV detection using optical signals for elderly patients with atrial fibrillation (BHI 2018 Tarniceriu et al)

Detection of beat-to-beat intervals from wrist PPG in patients with Sinus Rhythm and Atrial Fibrillation after surgery. Evaluation on the use of PPG in monitoring beat-to-beat heart rate in elderly patients with arrhythmia. The results showed that IBI estimation from wrist PPG signals is highly accurate in the absence of movement, even for elderly patients suffering of multiple comorbidities.

HRV performance (EMBC 2015 Parak et al)

Evaluation of HRV recorded during sleep with PulseOn’s reference design wrist wearable. PulseOn technology detected on average 99.57% of the heartbeats with 5.94 ms mean absolute error (MAE) in beat-to-beat intervals (RRI) as compared to the ECG based RRI.

Sports performance (EMBC 2015 Gonzalo et al)

Evaluation on the accuracy and reliability of PulseOn technology against ECG-derived HR in laboratory conditions during a wide range of physical activities and also during outdoor sports. The results showed PulseOn reliability (% of time with error <10bpm) of 94.5% with accuracy (100% – mean absolute percentage error) 96.6% as compared to ECG.

Speed and distance (EMBC 2015 Renevey et al)

Evaluation of an accelometry-based speed estimation with inertial data processing with a wearable wrist device. Speed estimation in running and walking speeds detected by PulseOn’s technology provided results comparable to classical foot pod devices in the interval of ±5%.