In the field of smart medical care, "healthy sleep" has become one of the hot topics. Patients with certain acute and chronic diseases suffer from poor sleep, and in severe cases, there may be dangerous conditions such as sleep apnea. High-quality sleep data can help doctors, researchers and drug developers to carry out their work better.
In order to make the monitoring results more accurate, it is necessary to collect a large amount of human sleep data to train the algorithm model, so as to improve the accuracy of sleep measurement and accurately analyze the various stages of the sleep process, including deep sleep, light sleep, rapid eye movement and wakefulness. It can more intuitively understand the sleep status of the user's body, so as to provide sleep improvement suggestions.
Jinglianwen Technology has made a large amount of data and resource reserves in medical AI data collection, and has rich implementation experience and data quality control experience in sleep data collection and labeling projects.
Sleep data collection and labeling case
Customer specific pain points and challenges:
It is not easy to obtain real and rich sleep data, and the amount of data is large. Specific groups of people need to be collected.
It is necessary to use the built-in recording software of the mobile phone for recording. It is required that the mobile phones of the collection group can spread all kinds of mobile phone brands and models in the market, and the mobile phone recording cannot be processed with noise reduction.
Data quality requirements are strict.
Customer collection and labeling requirements:
It is necessary to collect 5,000 pieces of sleep data, one section for each person, and each section is eight hours. And label it with multiple tags such as exercise, cough, human voice, breathing, snoring, noise, and teeth grinding.
JLW technology solutions:
JLW Technology utilizes its own rich resources of the collected persons. Customize the collected population according to customer needs.
With a wealth of acquisition equipment, all kinds of mobile phone brands and models in the market, check whether the mobile phone has a noise reduction function before recording, and turn off the noise reduction function in time.
Establish a multi-person stable supervision team according to customer needs. The project manager has participated in the implementation of medical and health collection projects, and has accumulated rich experience in resource planning, project management, progress control, coordination and communication, etc., to ensure efficient delivery of collection projects.
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