About UsWELLIO
WELLIOO is committed to the research and development of body-sensing fusion technology, and uses high-precision sports health AI algorithms to empower smart wearable products.
Positioned in the fields of smart sports, medical health, healthy ECG electrocardiogram and EDA skin electricity, focusing on the vertical category of smart wearables, adhering to user-centricity and market-oriented, bringing cost-effective and high-quality smart wearable experience to global users.
Supports multiple functions such as wrist-raising wake-up, sleep monitoring, life step counting, automatic sports recognition reminder, and has 100+ sports modes to help users easily achieve daily health management and sports management goals.
High-precision life step counting algorithm;
24-hour scientific sleep algorithm;
24-hour red light blood oxygen algorithm;
Multiple sports modes & sports intelligent recognition; Obtained multiple certifications in different market regions: International ISO quality management, NCC, FCC, CE, ROHS, TELEC, REACH2.0
We are committed to providing customers with a variety of latest fitness trackers and smart watches.
Every day we work in the healthcare field, we maintain in-depth cooperation with the world’s top medical advisory team – 36 experts from 12 authoritative medical institutions have participated in the clinical testing and function optimization of our health monitoring system. It is this medical-level rigorous attitude that has enabled our smart health watch series to pass the EU CE medical device certification and FDA Class II medical device filing, making it one of the few wearable device brands in the world to obtain dual medical certifications.
In the past three years, our health guardian has entered 87 countries around the world and built a 24/7 health protection network for 1,023,586 users. Among the 28,459 five-star reviews, 1,237 users left special messages thanking the device for timely warning of abnormal signs: Mr. Tanaka in Tokyo, Japan, avoided myocardial infarction due to timely medical treatment due to abnormal heart rate alarm; Emma in Melbourne, Australia discovered early sleep apnea syndrome through continuous blood oxygen monitoring; and 369 pregnant mothers relied on our uterine contraction monitoring function to safely pass the delivery period.
Equipped with the intelligent algorithm of the seventh-generation multimodal biosensor, our device can accurately capture 32 health indicators, and the data error rate is controlled within ±2% of the medical grade requirements. The unique health risk prediction model has successfully warned more than 13,000 potential health crises with an accuracy rate of 91.7%. With the exclusive cloud platform, users can generate professional health reports at any time.
WELLIOO smart watch: a health management expert empowered by technology
Breaking through the traditional definition of accessories, the WELLIOO series of smart wearable devices creates an all-weather health monitoring ecosystem through innovative algorithm architecture and optical sensing technology. This smart wearable device not only meets the basic needs of sports tracking, but also has a multi-dimensional biological data collection system to provide accurate quantitative support for urban people who focus on health management.
Core functional system:
1. All-weather biological monitoring system
– Equipped with a PPG optical sensor matrix to achieve millisecond-level detection of heart rate, blood pressure, and blood oxygen concentration
– The sports energy consumption model can accurately calculate the calorie metabolism value
– The smart notification center synchronously manages communication and schedule reminders
2. Triple intelligent algorithm matrix
▷ Cardiovascular monitoring algorithm
Based on photoelectric volumetric pulse wave (PPG) technology, it adopts a self-developed waveform analysis solution to achieve a heart rate detection accuracy of ±2bpm and synchronously analyze 14 hemodynamic parameters.
▷ Sleep quality assessment system
Integrating accelerometer, PPG and RR interval data, building a four-dimensional analysis model of the sleep cycle, which can identify 5 types of sleep disorder characteristics and provide personalized improvement suggestions.
▷ Cadence tracking algorithm
Equipped with an anti-interference motion sensor group, through the nine-axis posture compensation technology, it still maintains a 97.3% step recording accuracy in complex sports scenes.
3. AI-ECG heart protection
Integrated medical-grade electrocardiogram detection module, equipped with a deep neural network analysis engine. Based on the diagnostic model trained with millions of clinical samples, it can identify 16 types of arrhythmia characteristics, with a comprehensive judgment accuracy of 93.6%, and obtain Class II medical device certification.
