Remote signal analyzer, classifier, and database generator

• US 20020045994A1
• Filed: 10/15/2001
• Published: 04/18/2002
• Est. Priority Date: 10/13/2000
• Status: Abandoned Application

• Current Assignee: BETH Israel Deaconess Medical Center (Caregroup Incorporated)
• Original Assignee: BETH Israel Deaconess Medical Center (Caregroup Incorporated)
• Inventors: Hampton, Thomas G.
• Application Number:
  US09/977,820
• Publication Number:
  US 20020045994A1
• Time in Patent Office: Days
• US Class Current: 702/66
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Methods and systems for remotely analyzing signals through a communications network. In one embodiment, the methods and systems may be adapted to a subscriber medical research facility wherein data is collected from samples for further analysis. The methods and systems provide a graphical user interface to allow the subscriber to collect data through a data acquisition system, classify the waveforms, select appropriate analysis algorithms and results, and further choose algorithm parameters. The data and all subscriber entered options may be transmitted through a communications system to a remote analysis engine that may be coupled to a database. The remote analysis engine may analyze the data in accordance with the analysis options. In some embodiments, the analysis results may be obtained or further incorporated into the database. The analysis results may also be transmitted through the communications network, to the subscriber for further review and editing by the subscriber. In one embodiment, the communications network is the internet.

Claims

1. Computer readable products disposed on a computer readable medium for analyzing signals on a first platform, wherein the signals are collected on a distinct second platform, and the first platform and the second platform are connected through a communications system, the products comprising instructions for causing a processor to

acquire signals for analysis,

display the signals to a subscriber user,

provide an interface to allow the subscriber user to, on the second platform, select at least one analysis algorithm,

transmit the signals and the selected algorithm to the first platform,

on the first platform, analyze the signals in accordance with the selected algorithm,

interface the second platform to a database for data analysis,

classify the signals;

transmit analysis and classification results from the first platform to the second platform, and

allow editing and display of the analysis and classification results on the second platform.

2. A computer readable product according to claim 1, wherein the instructions to acquire signals for analysis further comprise instructions to acquire signals of an electrocardiogram.

3. A computer readable product according to claim 1, wherein the instructions to classify the signals further comprise instructions to categorize a genetic condition.

4. A computer readable product according to claim 3, wherein the instructions to categorize further comprise instructions to implement a neural network.