Becton Dickinson and Co had 17 patents in internet of things during Q2 2024. Becton Dickinson and Co has filed patents for a wearable device that monitors tissue swelling conditions, sensors for detecting proper cannula insertion, and an automated urine-output-measurement system. The wearable device includes a sensing mechanism that provides electrical signals to a console for displaying swelling information. The sensors can be used with blood glucose monitors or insulin infusion systems. The urine-output-measurement system includes single-patient equipment with a urinary catheter and multi-patient equipment with a urine monitor displaying patient information and measurements. GlobalData’s report on Becton Dickinson and Co gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Becton Dickinson and Co had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Wearable device for monitoring fluid overload with built-in sensors (Patent ID: US20240172995A1)
The patent filed by Becton Dickinson and Co. describes a wearable device for monitoring tissue swelling conditions in users. The device includes a mechanism for attachment to the user's body, a sensing mechanism that provides an electrical signal based on the tissue swelling condition, and logic that processes the signal to provide swelling information to the user. Various sensing mechanisms are disclosed, such as sensors based on physical dimensions, light sensors, fluid-containing bladders, pressure sensors, and devices for creating tissue depressions.
The wearable device can be secured around the user's extremity, ankle, or wrist, with the sensing mechanism providing signals based on factors like the length of a stretchable portion, space between the skin and attachment mechanism, or pressure exerted on the sensor. The device also includes logic modules for comparing swelling data with limits, generating alerts, correlating data with user assessments, and maintaining historical records. The system further includes a storage medium with executable instructions for receiving and rendering tissue swelling data, with options for displaying charts, correlating data with user events, and transmitting information to healthcare providers.
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