18209007. DETECTING USER INFECTION USING WEARABLE SENSOR DATA simplified abstract (KONINKLIJKE PHILIPS N.V.)
DETECTING USER INFECTION USING WEARABLE SENSOR DATA
Organization Name
Inventor(s)
Ikaro Garcia Araujo Da Silva of Cambridge MA (US)
Bryan Conroy of Cambridge MA (US)
Sara Mariani of Cambridge MA (US)
DETECTING USER INFECTION USING WEARABLE SENSOR DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18209007 titled 'DETECTING USER INFECTION USING WEARABLE SENSOR DATA
Simplified Explanation
The abstract describes a method for reporting a user's risk of infection using data from a wearable device. The method involves analyzing the user's heart data to determine pulse rate variability phase acceleration and deceleration values. These values are then used in a trained infection risk prediction algorithm to determine the user's risk of a current infection. The determined risk is provided to the user through a user interface.
- The method uses heart data from a wearable device to assess a user's risk of infection.
- It analyzes pulse rate variability phase acceleration and deceleration values to determine the risk.
- A trained infection risk prediction algorithm is used to calculate the risk.
- The determined risk is communicated to the user through a user interface.
Potential Applications
- Healthcare monitoring: This method can be used to provide individuals with real-time information about their risk of infection, allowing them to take appropriate precautions.
- Disease outbreak management: By analyzing the infection risk of a large population, public health officials can identify high-risk areas and allocate resources accordingly.
- Personalized healthcare: The method can be integrated into wearable devices to provide personalized health recommendations based on an individual's infection risk.
Problems Solved
- Early detection of infections: By analyzing heart data, this method can identify potential infections before symptoms appear, allowing for early intervention and treatment.
- Remote monitoring: The use of wearable devices enables continuous monitoring of infection risk without the need for frequent visits to healthcare facilities.
- Objective risk assessment: The algorithm provides an objective measure of infection risk based on physiological data, reducing reliance on subjective symptoms or self-reporting.
Benefits
- Timely intervention: By providing real-time infection risk information, individuals can take appropriate actions to prevent the spread of infections and seek medical attention if necessary.
- Cost-effective: Continuous monitoring through wearable devices reduces the need for expensive laboratory tests or frequent doctor visits.
- Personalized recommendations: The method can provide personalized recommendations for individuals based on their infection risk, promoting proactive healthcare management.
Original Abstract Submitted
A method for reporting a user's risk of infection, comprising: (i) receiving, from a sensor of a wearable device worn by the user, user heart data; (ii) determining, from the received user heart data by a pulse rate variability phase acceleration algorithm, the user's pulse rate variability phase acceleration values for the first time period; (iii) determining, from the received user heart data by a pulse rate variability phase deceleration algorithm, the user's pulse rate variability phase deceleration values for the first time period; (iv) determining, by a trained infection risk prediction algorithm using the user's pulse rate variability phase acceleration values and the user's pulse rate variability phase deceleration values for the first time period, the user's risk of a current infection; and (v) providing, via a user interface, the determined user's risk of a current infection.
