Community Health Systems. has been granted a patent for a remote sleep diagnostic system that includes a portable, wearable device for monitoring sleep quality. The system utilizes biometric sensors and a database to analyze data for diagnosing sleep apnea, enhancing identity verification during medical procedures. GlobalData’s report on Community Health Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Community Health Systems, was a key innovation area identified from patents. Community Health Systems's grant share as of July 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.
Remote sleep diagnostic system with biometric identification
The granted patent US12016679B1 describes a remote or home sleep diagnostic system designed for unattended sleep testing, particularly for diagnosing sleep apnea. The system comprises a portable, wearable patient interface box equipped with various sensors, including a pulse oximeter, an accelerometer, and at least one biometric sensor. These components work together to measure physiological parameters related to the subject's sleep quality. The device is engineered to collect data for identifying the subject by comparing it with previously collected biometric data. This data is then uploaded to a remote database for analysis and diagnosis by a clinician, ensuring that the system can operate independently of a clinical setting.
The patent outlines several features of the system, including the ability of the biometric sensor to detect electrophysiological characteristics of the subject. The device can utilize multiple types of sensors, such as wet or dry electrodes, photodetectors, and audio monitors, to gather comprehensive data on airflow, blood oxygenation, and respiratory effort. Additionally, the system includes a mechanism for random authentication of the subject's identity, enhancing security and privacy. The processor within the device is responsible for comparing collected biometric data with existing data to verify the subject's identity without disclosing sensitive biometric information. Overall, this innovative system aims to facilitate effective sleep diagnostics in a home environment, making it more accessible for patients.
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