We are a preventive healthcare company aiming to transform conventional hospital centric care, into patient centric care with continuous monitoring in our daily lives
To help outpatient with chronic disease enjoy their life to the full
Founders of Sky Labs are well-experienced engineers from Samsung Electronics DMC Research Center. Among them, the CEO has a master's degree in electrical engineering and is an advanced engineer and business planner with more than 15 years of experience in the successful development of signal processing systems including algorithms and hardware design. The research team leader has a master's degree in medicine and is an advanced biomedical engineer with more than 10 years of experience in developing a number of medical signal processing applications including machine and deep learning.
In addition, we have brilliant engineers who are passionate and talented in their respective fields including signal processing algorithms, hardware, firmware & software development. They are expanding the future of Sky Labs. Moreover, professionals in the medical field, including cardiologists at Seoul National University Hospital and Charite University Hospital are working with Sky Labs. Our medical advisors not only help with clinical trials and validation of heart disease but also help evolve into practical healthcare services.
awards & recognition
The Global Entrepreneur Programme 2019
Selected as a promising startup to achieve our goals of becoming a global business.
Awarded for Technology Competition / Wearables 2019
Continuous Atrial Fibrillation & Arrhythmia Detection Using a Ring-type Wearable Device Based on Deep Learning with PPG & ECG Sensors
Awarded as Technology Pioneer 2019
Early to growth-stage companies from around the world that are involved in the design, development and deployment of new technologies and innovations, and are poised to have a significant impact on business and society
Winner of the Young Investigator Award 2019
A Novel Ring-type Wearable Device Equipped with Deep Learning Algorithm Using Photoplethysmographic Signals for Detecting Atrial Fibrillation
Awarded for Technology Competition / Innovation 2018
Continuous & accurate atrial fibrillation detection using ring-type wearable device based on conventional signal processing and deep learning
Winner of the Young Investigator Award 2018
A Novel Rule-based Algorithm to Diagnose Atrial Fibrillation Using Photoplethysmographic Signals