Ellisville, MO, United States of America

Eldar Causevic

USPTO Granted Patents = 7 

Average Co-Inventor Count = 2.7

ph-index = 6

Forward Citations = 273(Granted Patents)


Location History:

  • Jefferson County, MO (US) (2005)
  • Ellisville, MO (US) (2005 - 2008)
  • Wildwood, MO (US) (2021)

Company Filing History:


Years Active: 2005-2021

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7 patents (USPTO):Explore Patents

Title: The Innovative Mind of Eldar Causevic

Introduction

Eldar Causevic is a notable inventor based in Ellisville, Missouri, who has made significant contributions to the fields of human performance optimization and bio-signal processing. With a total of seven patents to his name, Causevic's work focuses on enhancing individual performance through innovative methods and systems.

Latest Patents

One of Causevic's latest patents is titled "Human performance optimization and training methods and systems." This invention presents systems and methods that analyze an individual's state based on selected criteria. It adaptively provides stimuli to affect the individual's performance compared to established benchmarks and pre-set plans. The methods or systems can provide audio and/or tactile inputs to a human subject to obtain a specific performance state. A music or sound selection engine considers the sensory and environmental inputs and selects the appropriate music or auditory stimulus, with the intent to reach a desired state of flow. The methods and systems can employ multiple measurements of personal data that correlate to the emotional state of a subject. By manipulating stimuli delivered to an individual, ultimate performance can be improved over various planning horizons.

Another significant patent is "Fast wavelet estimation of weak bio-signals using novel algorithms for generating multiple additional data frames." This method and apparatus for de-noising weak bio-signals, which have a relatively low signal-to-noise ratio, utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having two frames, and the iteration is performed N−1 times. The resultant wavelet coefficients are then linearly averaged, and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.

Career Highlights

Throughout his career, Eldar Causevic has worked with Everest Biomedical Instruments, where he has contributed to the development of innovative biomedical technologies. His expertise in performance optimization and bio-signal processing has positioned him as a leader in his field.

Collaborations

Eldar has collaborated with notable individuals such as Elvir Causevic and Mladen Victor Wickerhauser, further enhancing his innovative projects and research.

Conclusion

Eldar Causevic's contributions to the fields of human performance optimization and bio-signal processing demonstrate his commitment to

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