Thunder Bay, Canada

Salama Ikki

This inventor holds 1 USPTO granted patent. Top assignee: Lakehead University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Salama Ikki. Retrieved from https://idiyas.com/inventor/salama-ikki-wcpdo3r9

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Salama Ikki: Inventor of Physiological Monitoring Technology.

Introduction

Salama Ikki is an inventor associated with Lakehead University in Thunder Bay, Canada. His work includes technology for collecting and processing physiological data from a monitored subject.

Latest Patents

Ikki is credited with 1 patent, titled “System and Methods for Collecting and Processing Data on One or More Physiological Parameters of Monitored Subject.” The patent describes methods for measuring a biosignal that may contain noise, converting it into frequency components, and filtering out components below a prescribed threshold before sending the reduced data to a computing device. It also describes using machine learning to extract representative data from a noisy signal and determine a physiological parameter. The associated monitoring system combines a wearable sensor that measures and filters a biosignal with a portable computing device that receives the signal and determines the parameter.

Career Highlights

The patent reflects an approach to physiological monitoring that combines wearable sensing, signal processing, and machine-learning techniques. Its methods are designed to help derive useful physiological information from biosignals affected by noise or electromagnetic interference.

Collaborations

Yahia Ghazi Husni Alghorani is identified as Ikki’s coworker. The available information does not specify her role in the patent or the nature of their collaboration.

Conclusion

Salama Ikki’s patent focuses on improving the collection and interpretation of physiological data through noise reduction and computational analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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