2.2.1. Data Sources

1) Medical Hardware Sensor

In health management, the most important thing is to timely find abnormal signs and symptoms in order to predict the potential disease risks. Traditionally, we would achieve this through annual physical examinations, which, however, it is very time consuming and its geographical coverage is insufficient. But wearable device can achieve the real-time monitoring of physiological signs. Important physiological activities can be managed by detecting vital signs data (such as heart rate, pulse rate, respiratory rate, body temperature, heat consumption, blood pressure, blood glucose level and blood oxygen, hormones and BMI, body fat content, and walking distance). The signs and data collected by sensors that can be used at this stage include:

a. Body temperature sensor: the body temperature can be detected by a body temperature sensor in 24/7 which can help monitoring menstrual cycle and help female users prepare for pregnancy;

b. Heat flux sensor: used to monitoring the heat consumption ability, and aided calculation of blood glucose and metabolism ability estimation;

c. Weight measurement sensor: can be used to calculate BMI index;

d. Pulse wave sensor: can be used to measure blood pressure, pulse rate and other data;

e. Bioelectricity sensor: it can be used for ECG and EEG data collection, and calculate fat content, etc.;

f. Optical sensor: can measure the blood oxygen levels and blood flow velocity.

The medical hardware sensors are the entrance of the data collection, and AI MEDICAL provides an open access interface for medical hardware sensors, which allows all medical hardware to access to the chain, and makes it easier to collect medical data. Working with partners, AI MEDICAL will research, develop and produce intelligent hardware sensor devices to create professional product matrix of intelligent medical hardware, providing accurate vital signs data.

2) Gene Data

Gene determines the birth, aging, illness and death of humans and controls the metabolism of human body. As the cost of gene sequencing is greatly reduced, everyone is able to have its own comprehensive genetic information. When the user accepts the gene sequencing, the genetic information will be permanently stored in the AIM network. After multiple gene sequencing and data comparisons, if a gene mutation is found, it will be responded immediately. In addition, after genome analysis, AI MEDICAL can predict the potential risks, suggest precision medical treatment and provides customized health care.

3) Hospital Electronic Medical Record This is the original record of a patient's whole diagnosis and treatment process reports in the hospital, which contains basic patient information, medical record, examination and test results, physician's notes, operation records, nurse's notes, etc.

4)Health Applications

At present, there are many kinds of health management APPs in the market. Currently, AI MEDICAL mainly accesses APPs about female period care, self-examination + inquiry, diet instruction, and fitness management.