Long Han

Title: The Innovations of Long Han in Magnetocardiography

Introduction

Long Han is an esteemed inventor based in Baltimore, Maryland, known for his significant contributions to the field of magnetocardiography. With one patent to his name, he has developed innovative methods to improve the detection of ischemic heart disease through advanced algorithmic techniques.

Latest Patents

Han's notable patent is titled "Sigma tuning of gaussian kernels: detection of ischemia from magnetocardiograms." This invention introduces a novel Levenberg-Marquardt-like second-order algorithm for tuning the Parzen window sigma in a Radial Basis Function (Gaussian) kernel. His work allows for each kernel attribute to have its own sigma parameter. The optimized sigma values serve as a gauge for variable selection, enhancing the reliability of ischemic heart disease detection.

Career Highlights

Working at Cardiomag Imaging, Inc., Long Han has made substantial strides in the application of his patented technology. The Kernel Partial Least Squares (K-PLS) model utilized in his research has been tested across several benchmark datasets, demonstrating the effectiveness of his sigma tuning procedure for RBF kernels. His model proves to outperform both K-PLS and Support Vector Machine models that rely on a single sigma value.

Collaborations

Throughout his career, Han has collaborated with esteemed colleagues such as Mark Embrechts and Boleslaw Szymanski. Their collective expertise has furthered the reach of his innovations and solidified the contribution of their shared work in the medical technology field.

Conclusion

Long Han stands out as a prominent inventor in the realm of magnetocardiography, showcasing how innovation can significantly impact medical diagnostics. His patent highlights the importance of algorithmic advancements in improving the detection and understanding of heart diseases, which remains a critical area of research and development.