14336186 Canada Corp. (exclaro)

Masimo Corporation

Stellate Systems Inc.

Rajeev Agarwal

Boris Popov

Jean Gotman

Victor F Lanzo

Jean-Philippe Tremblay

Prashanth Venkataswamy

YunHua Wang

Danny Flanagan

Rajeev Yadav

Jean-Phillipe Tremblay

Richard Nguyen Phat The

Provided are Raman systems and methods for detection of cancerous tissues in tumor margins in real time during surgical procedures. The systems include a laser excitation source, a probe, a spectrometer and a camera specifically designed for use of Raman spectroscopy in real time during surgery. The inventive methods pertain to quality assessment of Raman data, comparison of obtained Raman data against known biomarkers and classification of tissue as cancerous or non-cancerous on the basis of corresponding Raman data. The systems and methods allow for previously unavailable detection and classification of tissue with Raman spectroscopy in real time surgical applications, including the identification of cancer sub-types.

System and methods for real time raman spectroscopy for cancer detection

A system for automated collection of Raman spectra from ex-vivo tissue samples is provided. The system may comprise a cartesian robot that moves a detachable Raman probe to points on the ex-vivo tissue sample that have been predetermined through a 3D image of the sample. Accordingly, methods of rapid acquisition of multiple Raman spectra from a heterogeneous tissue sample are provided. The inventive methods consider variable contours of the sample to provide Raman spectra from multiple points while generating optimal coverage of the sample. The inventive methods include cleaning the Raman probe between acquisitions of Raman spectra from the multiple points.

Automated Raman signal collection device

A method and apparatus for estimating a location of pulmonary and aortic components of second heart sounds of a patient over an interval. The method comprises the steps of producing an electronic representation of heart sounds of the patient over the interval, identifying at least one second heart sound in the interval using the electronic representation, for each identified second heart sound generating an estimated value for a location of the aortic component and the pulmonary component. There is also included a method for using the estimated location of the aortic component and the pulmonary component for estimation of the blood pressure in the pulmonary artery of a patient.

Non-invasive measurement of second heart sound components

A machine-readable storage medium containing a program element for execution by a computing device for performing spike and artifact detection in EG data. The program element comprises a spike detection module for processing EG data to detect spikes. Each spike is a candidate having a likelihood of being related to a physiological event of interest. The program element further comprises an artifact detection module. The artifact detection module is operative to compute respective models of events manifested by the respective spikes detected by the spike detection module, to use the computed models to determine which spikes among the spikes detected by the spike detection module have a high likelihood of being artifacts, to filter the spikes detected by the spike detection module on the basis of the computed models to produce filtered data and to output the filtered data.

Artifact detection in encephalogram data using an event model

Growing community of inventors

Dollard-des-Ormeaux, Canada

Rajeev Agarwal