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Mayo Clinic Digital Health selects Corsano Cardiowatch suitable for use in generally healthy, community-dwelling adults based on key criteria like continuous monitoring, technical accuracy, usability, and cost.

Sepsis is a critical medical emergency frequently associated with significant organ failure and high mortality rates. Early detection is crucial, as delays in treatment substantially increase the risk of fatal outcomes with each passing hour. However, no specific molecular marker or definitive blood test for sepsis detection exists.

Timely detection of atrial fibrillation (AF) is crucial for the prevention of serious consequences such as stroke and heart failure, yet it remains challenging due to its often asymptomatic or paroxysmal nature.

In this prospective study, authors assessed the performance of the PPG sensor technology of Corsano CardioWatch 287, using three AI algorithms for AF detection. Two different populations were used in this study.

The early detection of clinical deterioration could be the next significant step in enhancing patient safety in general hospital wards. Most patients do not deteriorate suddenly; instead, their vital signs are often abnormal or trending towards an abnormal range hours before severe adverse events requiring rescue intervention and/or ICU transfer

Assessment of Physiological Signals from Photoplethysmography Sensors Compared to an Electrocardiogram Sensor: A Validation Study in Daily Life Overall, Corsano has better coverage for the processed R-R interval data as compared to Whoop. For Whoop, participants indicated a need to learn more before one could get going with the device and a need for more technical...

Heart disease patients necessitate precise monitoring to ensure the safety and efficacy of their physical activities when managing conditions such as hypertension or heart failure.

Monitoring respiration rate (RR) is crucial in various healthcare settings, particularly during demanding (physical) activities where respiratory dynamics are critical indicators of health status. The RR measurements obtained using the PPG-based CardioWatch 287-2 (Corsano Health) were compared with an ECG patch-derived reference.

Recently, photoplethysmography-based vital parameter measurements have increased in popularity. However, clinical evaluation of these measurements is lacking. The objective of this study was to rigorously evaluate the clinical accuracy and reliability of a novel photoplethysmography-based wristband for measuring key vital parameters

The occurrence of exacerbations has major effects on the health of people with chronic obstructive pulmonary disease (COPD). Monitoring devices that measure (vital) parameters hold promise for timely identification and treatment of exacerbations. Stakeholders' perspectives on the use of monitoring devices are of importance for the successful development and implementation of a device.

Collaborating researchers from Reinier de Graaf Hospital have validated the Corsano cuffless photoplethysmography-based wristband for measuring blood pressure according to the regulatory standards.

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.

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.

Hypertension increases cardiovascular risk. Measuring reliable blood pressure (sBP and dBP for systolic and diastolic BP) is challenging. A photoplethysmography (PPG)-based wristband with a custom BP algorithm could provide continuous BP.

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

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

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 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.

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

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

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.

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.

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

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.

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%).

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 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.