18608768. SYSTEM AND METHOD FOR STIMULUS FEEDBACK INTERVENTION simplified abstract (Purdue Research Foundation)
Contents
SYSTEM AND METHOD FOR STIMULUS FEEDBACK INTERVENTION
Organization Name
Inventor(s)
Nathan Govindarajan of Plano TX (US)
Peter Arthur Zoss of Lafayette IN (US)
Matthew Peter Ward of Zionsville IN (US)
SYSTEM AND METHOD FOR STIMULUS FEEDBACK INTERVENTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18608768 titled 'SYSTEM AND METHOD FOR STIMULUS FEEDBACK INTERVENTION
The system described in the patent application is designed to integrate multiple biosensor devices connected to a subject, synchronize the data from these devices, analyze the data along with environmental data, predict responses to stimuli, and provide feedback based on the analysis.
- Communication interfaces establish links with biosensor devices.
- Biodata is received from biosensor devices at a sampling rate.
- Timestamps are assigned to synchronize data from multiple devices.
- Environmental data is collected from environmental sensors.
- Received biodata and timestamps are stored in a database.
- Data analysis is conducted to predict responses to stimuli.
- Feedback is provided based on the analysis.
Potential Applications: - Healthcare monitoring - Sports performance analysis - Research studies on human responses to stimuli
Problems Solved: - Synchronization of data from multiple biosensor devices - Analysis and prediction of responses to stimuli
Benefits: - Enhanced data synchronization - Improved prediction accuracy - Personalized feedback based on individual data
Commercial Applications: Title: "Integrated Biosensor System for Enhanced Data Analysis" This technology can be used in various industries such as healthcare, sports, and research for advanced data analysis and prediction of responses to stimuli, leading to improved outcomes and personalized feedback for individuals.
Questions about the Integrated Biosensor System: 1. How does the system ensure accurate synchronization of data from multiple biosensor devices? 2. What are the potential challenges in predicting responses to stimuli based on the analyzed data?
Original Abstract Submitted
A system for integrating a plurality of biosensor devices includes one or more communication interfaces adapted to communicate with each of the plurality of biosensor devices connected to a subject, and a processor executing software on a non-transitory memory to: establish a communication link with each of the plurality of biosensor devices, receive biodata from each of the plurality of biosensor devices through the one or more communication interfaces at a sampling rate, assign a timestamp to the received biodata such that the received data from the plurality of biosensor devices are synchronized, receive environmental data via one or more environmental sensors, store received biodata along with the assigned timestamp into a database and the environmental data, analyze stored data along with the assigned timestamp to predict an evoked response to one or more stimuli and the environmental data and provide a feedback based on the analysis.
