Siemens had 169 patents in cybersecurity during Q4 2023. Siemens AG filed patents in Q4 2023 for a monitoring unit supporting medical workflows with multiple sensor units collecting patient and environmental data, a method for enhancing product security using a supply chain of suppliers, anonymized confirmation of personal user features, transferring user-specific data via a hash tree, and checking the integrity of reloadable functional units in a dynamically reconfigurable region of an electronic component. GlobalData’s report on Siemens gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Siemens grant share with cybersecurity as a theme is 40% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Monitoring unit and a medical examination system (Patent ID: US20230414187A1)

The patent filed by Siemens AG describes a monitoring unit designed to support medical workflows by collecting patient-related and environmental data through multiple sensor units attached to a base body. A computing device processes this data to create output data that can be used to adapt the medical workflow and is then outputted via an output device. The sensor units include various types such as cameras, CO2 sensors, and temperature sensors, enabling the monitoring unit to provide a comprehensive data collection and analysis system for medical examinations.

Furthermore, the monitoring unit can automatically adjust the workflow based on patient data, including emotions detected through facial recognition algorithms, and can identify patients and set scanning protocols accordingly. It can also detect medical staff members, monitor patient movement, and issue warnings if surfaces are touched. The unit is designed to conserve energy by activating a hibernating mode when not in use and can distribute data wirelessly to devices used during the medical workflow, enhancing efficiency and convenience in medical settings.

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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.