Medtronic had five patents in big data during Q2 2024. Medtronic Plc has filed patents related to monitoring food intake events, quantifying variations in surgical approaches, identifying different surgical approaches, and using computer-vision processing systems to improve patient safety during surgical procedures. The patents involve analyzing data, detecting behavior events, and providing feedback to influence food intake, eating habits, and surgical approaches. The use of machine-learning models in surgical procedures is also highlighted in the patents. GlobalData’s report on Medtronic gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Medtronic had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Method and apparatus for tracking of food intake and other behaviors and providing relevant feedback (Patent ID: US20240170145A1)
The patent filed by Medtronic Plc describes a sensing device that monitors and tracks food intake events and behaviors. The device includes a processor programmed to capture, store, analyze data related to food intake, eating habits, and triggers for food intake events. Feedback provided by the device can influence food intake, eating habits, and patterns. Additionally, the sensing device can track behavior events beyond food-related behaviors, detect triggers and patterns, and provide feedback accordingly.
The patent claims detail a method for sensing user activity related to food intake events using sensor readings and gestures. The method involves obtaining images of food intake events, determining event-specific parameters, and providing feedback to the user through various means such as haptic feedback, sound alarms, or display messages. The system described in the claims includes transceivers, memories, and processors configured to capture sensor readings, gestures, and images related to food intake events, store event-specific parameters, and provide feedback to the user. The system also utilizes machine learning models to determine gestures indicative of food intake events.
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