Resources

Articles in support of Corsano’s scientific approach.

Corsano CardioWatch Detects Cardiac Arrest

Collaborating researchers from Radboud University Medical Center, Erasmus MC, Reinier de Graaf Hospital, and Corsano Health have succeeded in reliably measuring whether a patient's circulation stops, as in the case of cardiac arrest.

Educating the healthcare workforce of the future: lessons learned from the development and implementation o...

Students had Corsano CardioWatch 287-2 on their wrists, providing them with a practical opportunity to utilize medical-grade sensors. This allowed students to analyze their physiological responses throughout the course.

The accuracy of heartbeat detection using photoplethysmography technology in cardiac patients

This validation study showed that the Corsano 287 CardioWatch/Bracelet with PPG-technology can determine HR and RR-intervals with high accuracy in a cardiovascular patient population

Smartphone and wearable detected atrial arrhythmias in Older Adults: Results of a fully digital European Ca...

The fully remote, investigator-initiated Smartphone and Corsano Health’s CardioWatch 287 wearable detected atrial arrhythmia in Older Adults Case finding study (Smart in OAC—AFNET 9) digitally enrolled participants ≥65 years without known atrial fibrillation

Validation of a novel cuffless photoplethysmography-based wristband for measuring blood pressure according ...

Chronic hypertension is a significant risk factor for cardiovascular diseases (CVD) [1]. However, obtaining reliable and reproducible cuff blood pressure (BP) measurements is challenging.

Automated cardiac arrest DETECTion based on wrist-derived PPG signals: preliminary results of the DETECT-1 ...

Automated cardiac arrest detection and alarming is a potential solution to shorten treatment delays after out-of-hospital cardiac arrest (OHCA). Especially for patients with unwitnessed cardiac arrests this could improve survival.

Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation bu...

Recent studies suggest that atrial fibrillation (AF) burden (time AF is present) is an independent risk factor for stroke. The aim of this trial was to study the feasibility and accuracy to identify AF episodes and quantify AF burden

Continuous respiration rate monitoring using photoplethysmography technology in patients with Obstructive S...

Respiration rate is an important physiological parameter whose abnormality has been regarded as an important indicator of various serious illnesses. Photoplethysmography (PPG) in wearable sensors potentially plays an important role in early disease detection by making respiration rate measurements

Validation Corsano Steps Algorithm (Abstract)

Comparison measured steps per minute determined by the Cardiowatch with steps per minute determined with the Actigraph CENTREPOINT Insight Watch. Single center prospective observational study collecting PPG and accelerometer data in a real world setting.

Analyzability of Photoplethysmographic Smartwatch Data During Everyday Life: Feasibility Study

A total of 41 (19 female and 22 male) adults in good cardiovascular health (aged 19-79 years) continuously wore a smartwatch equipped with a PPG sensor and a 3D accelerometer (Cardio Watch 287, Corsano Health BV) for a period of 24 hours that represented their individual daily routine.

Corsano Health Cardiowatch 287 USA Usability Study

Regulations and standards put the emphasis on usability and human factor design in the development of medical device and risk management. This paper explains the main challenges for wearable devices by showing how usability and human

Remote Design of a Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study: S...

Screening for atrial fibrillation and timely initiation of oral anticoagulation, rhythm management, and treatment of concomitant cardiovascular conditions can improve outcomes in high-risk populations.

AF detection using Smartphone Apps

70 patients in an AF rhythm and 70 patients in sinus rhythm were recruited. Mean age was 73±12 (60% male) in the AF group, 59±20 in the sinus rhythm group (66% male). The BeatScanner app had a sensitivity of 89% (95% CI: 79-95%) and specificity of 67% (55- 78%).

Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography

Corsano’s sleep analysis is powered by Philips Wearable Sensing algorithms. This clinical trial is using wrist-worn PPG to analyze heart rate variability and an accelerometer to measure body movements, sleep stages and sleep statistics were automatically computed from overnight recordings.

The Effectiveness of Utilizing HRV Indices as a Predictor of ACFT Performance Outcomes

The Army Combat Fitness Test (ACFT) is a performance assessment used by the U.S. Army to assess a cadet’s strength, endurance, and agility with a series of six events to ensure that cadets are combat ready.