Personal health technology company RingConn has introduced its Gen 2 Smart Ring, which features integrated sleep apnea monitoring in a smart ring.
RingConn has redesigned key components of the ring, including its battery structure, circuit layout, chip, and charging method, to provide advanced health monitoring and wearability.
The Gen 2 smart ring features an ultra-slim profile and claims considerable size reductions.
With 2mm thickness and 2 grams weight, the device features a 12% decrease in width and a 23% reduction in thickness compared to its predecessor.
RingConn said that a team led by its founder Dr Guoxing Wang has developed a low-power technology to transform smart ring capabilities.
The Gen 2 smart ring offers 10 to 12 days of battery life per charge, allowing its users to enjoy more than 150 days of continuous use with its charging case.
With a 10 to 12 days battery life, compact hardware, and comprehensive health monitoring services the device addresses a critical health concern, said the health technology company.
RingConn, in its statement, said: “Smart rings stand out among wearable devices for their unobtrusive design, allowing for seamless health monitoring.
“However, creating a health-focused smart ring presents a significant engineering challenge, as it requires integrating hundreds of components into an extremely compact space.
“This complexity often prevents smart rings from achieving the same level of lightness as traditional jewellery rings.”
According to the company’s estimates, around 936 million adults, aged 30 to 69 years, have mild to severe sleep apnea, including about 425 million with moderate to severe sleep apnea.
Conventional sleep apnea diagnosis PSG requires overnight stays in sleep laboratories, where specialised equipment is used to measure brain waves, blood oxygen levels, and heart rate.
RingConn said its Gen 2 will address this limitation through its continuous sleep apnea screening, which offers daily insights into users’ sleep health.
The company has conducted hundreds of clinical studies on sleep apnea since 2021 and published several academic papers validating its technology.
It has independently developed a sleep apnea recognition algorithm based on deep learning, which showed 90.7% accuracy in identifying sleep apnea in experiments.
Currently, RingConn is actively seeking FDA approval for its sleep apnea monitoring feature.
