SHANGHAI, China

Michael Martin Scheja

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Michael Martin Scheja: Innovator in Health Device Technology

Introduction

Michael Martin Scheja is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of health devices, particularly in the area of wearable and implantable technology. His innovative approach focuses on enhancing the efficiency and functionality of health monitoring devices.

Latest Patents

Michael Martin Scheja holds a patent for a "Method and device for health devices and wearable/implantable devices." This patent describes a method for power management of a wearable or implantable device that includes a sensor. The sensor is designed to provide physiological information about the user and operates in at least two power modes. In the first power mode, the device gathers physiological data, while in the second power mode, it consumes less power. The method involves receiving a signal that indicates whether a health device, which treats a user's health condition, is in use. Based on this signal, the sensor operates in the first power mode for a specified duration before switching to the second power mode.

Career Highlights

Michael Martin Scheja is associated with Koninklijke Philips Corporation N.V., a leading company in health technology. His work at Philips emphasizes the integration of advanced technology in health devices, aiming to improve user experience and health outcomes.

Collaborations

Michael has collaborated with notable colleagues, including Declan Patrick Kelly and Wei Chen. Their combined expertise contributes to the innovative projects at Philips, enhancing the development of cutting-edge health technologies.

Conclusion

Michael Martin Scheja is a key figure in the advancement of health device technology, with a focus on power management in wearable and implantable devices. His contributions are paving the way for more efficient health monitoring solutions.

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