Receiving very good feedback from both daily users and healthcare professionals in the field of health Apple uses highly stable and advanced technologies in this area where calculations are critical. Continuing its investments in this field, the company, when it is widely used, many big companies. will help detect the disease before it develops is working on a technology.
Apple’s Machine Learning Research
The work carried out by is that the devices used on a daily basis do not require any additional random action. to follow the breathing rhythm covers. Devices that do this over the microphone can passively assist in disease diagnosis.
The sound produced while breathing will be used to monitor the rhythm of breathing:
In the study, the respiration information of 21 people, which is open on the device used, via microphone collected before, during and after a heavy workout. Hand-collected information suggests that the voice is passively monitoring the breathing rhythm. might be a suitable way laid out.
The subject of the study is to monitor the development of the disease and to monitor the development of organs such as the heart and lungs over time. status can be observed. Individuals with breathing problems involving long periods of time in ordinary rules for stating themselves cannot be sure that it will always be true, but a device that these people carry with them on a daily basis and that monitors their breathing rhythm in an objective state can provide the measurement.
It is not known whether the next generation AirPods will come with this technique. Apart from AirPods, Apple Watch is also in the middle of the devices that this system can be integrated with. Because which Apple device is used in the study unspecified. You can share your opinions about betting in the comments section.