Sleep Number had two patents in big data during Q4 2023. The patents filed by Sleep Number Corp in Q4 2023 involve a bed system with sensors that monitor physical phenomena of a sleeper and send data to a computing system. The computing system analyzes the data to classify the sleeper’s physical state, such as long COVID. Additionally, the system can sense biometric data before and after an exercise activity to generate a stress test output for the user. GlobalData’s report on Sleep Number gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Sleep Number grant share with big data as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Bed having features for automatic sensing of illness states such as post-acute sequalae of covid-19 (PASC OR LONG COVID) (Patent ID: US20230414178A1)
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The patent filed by Sleep Number Corp. describes a system that includes a bed with sensors to monitor physical phenomena of a sleeper, such as sleep duration, breathing rate, body motion, and heart rate. The data collected is used to classify the sleeper into different physical states, including long COVID. The system can analyze historical data, provide recovery recommendations, generate reports, and even schedule medical tests based on the classified physical state.
Furthermore, the system can classify the sleeper into various states of long COVID, such as positive, negative, or an intensity value. It can compare probability values against threshold values to determine the physical state accurately. The system can also generate state-progression data to estimate future milestones of the sleeper's physical state progression, such as symptom onset, peak intensity, symptom regression, and virus-free status. Additionally, the system can schedule medical tests, provide recovery recommendations, and analyze the efficacy of long COVID treatments based on changes in intensity values over time.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
