Finally Completed Our Dream

After 5 years of experience

Chief Officer Mr. Daniel: "

Remote patient monitoring is an important subcategory of big health telehealth, which allows patients or ordinary people to use mobile medical health devices and technology to collect self-generated health data and send it to healthcare professionals. Common physiological data that can be collected using RPM includes respiration, blood oxygen, blood pressure and heart rate. Patient data will be sent to professional medical and health care providers for medical health support through special telemedicine software systems or software applications installed on computers, smartphones, and other terminals. Although the adoption of remote patient monitoring technology began to grow prior to COVID19, the global pandemic has increased awareness of the need for remote care.

Wide variety of internet-connected “smart” devices now promise consumers and businesses improved performance, convenience, efficiency, and fun. Within this broader Internet of Things (IoT) lies a growing industry of devices that monitor the human body, collect health and other personal information, and transmit that data over the internet. We refer to these emerging technologies and the data they collect as the Internet of Bodies (IoB) (see, for example, Neal, 2014; Lee, 2018), a term first applied to law and policy in 2016 by law and engineering professor Andrea M. Matwyshyn (Atlantic Council, 2017; Matwyshyn, 2016; Matwyshyn, 2018; Matawyshyn, 2019).

The monitoring of newborn vital signs has always been a difficult problem in the industry, the main reason is that newborn limbs are too small to wear sensors; Newborn heart rate breathing is fast and weak, so it will cause great deviation to adopt adult heart rate respiratory algorithm for newborn. Until 2010 that Comen Inc developed the world's first special monitor for newborn in hospital.

Multi-designed products

Technical Team

  • Renhang Xia

    Director of Production Technology, Sumitomo Group, Japan. 13 years of experience in corporate, production, supply chain management and operations.

  • Ping Li

    M.S. in Artificial Intelligence Lab, focusing on digital image processing, image segmentation algorithms, convolutional neural network based image scaling algorithms.

  • Zhuang Xiong

    M.S. in Signal and Information Processing, video behavior analysis based on convolutional neural networks, development of AloT models for IoT platforms.