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Singular Wings Medical has successfully pioneered an advanced AI-driven healthcare system, rooted in the realms of big data, machine learning, and AI algorithms. This innovative service offers medical solutions through the utilization of digital biomarkers collected by a single device. These solutions encompass a wide spectrum of health concerns, including cardiovascular disease such as arrhythmia, home-based obstructive sleep apnea (OSA) testing, and our imminent non-invasive continuous glucose monitoring system (CGM). Users’ physiological data is seamlessly transmitted to a secure cloud server for data analysis and storage. Our AI automatically discerns and filters symptoms, positioning itself as the pivotal juncture in the realm of remote healthcare expertise. Through this intricate interplay of technology and medical acumen, Singular Wings Medical consistently strives to enhance the efficacy and accessibility of contemporary healthcare practices.

Basic Information

Company Name Singular Wings Medical Co., Ltd.
Company Address 302 Hsinchu CountyZhubei City11F., No. 257, Wenxing Rd. 
Industry Category IoT Related/Smart Wearable Device 
Date of Establishment 2015
Number of Employees 18
Amount of Capital NT$ 168,480,220

Summary of Capability

Service Mode
ODM product research development design production.;Data analysis services: Cardiac signals (heart rate irregular heart rhythm R-wave RRI HRV algorithm arrhythmia atrial fibrillation premature ventricular contraction (PVC) premature atrial contraction (PAC)) Pulmonary signals (sleep respiratory signal analysis sleep apnea) Sleep signals (deeplight sleep) Motion signals (supine prone lateral postures).
Main Products Real-time group monitoring console Wearable device for vital measurement Vital data abnormality report
Development of Technology Non-invasive blood glucose measurement technology assisting in dietary controlblood glucose target management for patients with hypertension hyperglycemia hyperlipidemia chronic diseases enabling timely decision-making. Many cases fail to achieve blood glucose targets even with precise blood glucose measurements. Our technology through proprietary personalization analyzes management goals against physiological measurements providing reminders when management is poorrisks are undetected. This facilitates prevention of adverse changes early detection early diagnosis early treatment.  
International Recognition ISO 13485:2016 BSMI(CNS15364) 1.2 Drop Test CB(IEC 62133-2) IEC 62368 UN38.3 Test FCC 15C FCC Part 15 Subpart B NCC ETSI EN 300 328 ETSI EN 301 489-1 ETSI EN 301 489-17 EN 62311/EN 62479:2010 EN 62368-1 2nd IPX7  
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