SYSTEM AND METHOD FOR DETECTING DRIVER'S SUDDEN HEART ATTACK

• US 20160151021A1
• Filed: 12/29/2014
• Published: 06/02/2016
• Est. Priority Date: 11/28/2014
• Status: Abandoned Application

• Current Assignee: Automotive Research & Testing Center
• Original Assignee: Automotive Research & Testing Center
• Inventors: Feng, Yen-cheng, Ko, Ming-Kuan
• Application Number:
  US14/584,024
• Publication Number:
  US 20160151021A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/6893 Cars
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system and method for detecting a driver'"'"'s sudden heart attack applies to detecting whether the driver of a vehicle is suffering a sudden heart attack. The method comprises steps: persistently capturing vital-sign signals of respiration rate, heart rhythm and blood pressure of the driver and transmitting the vital-sign signals to a monitoring system; a processor of the monitoring system using an artificial neural network to train the vital-sign signals and establish personalized models specific to the driver and respectively having threshold values; the monitoring system examining whether any one of the vital-sign signals exceeds its threshold value; if at least one type of the vital-sign signals exceeds the threshold value thereof, determining a risk level of the driver according to the quantity of the types of the vital-sign signals exceeding the threshold values thereof, and emitting an alert if necessary.

Claims

1. A method for detecting a driver'"'"'s sudden heart attack, applying to detecting whether a driver of a vehicle is suffering a sudden heart attack, and comprising steps:

persistently capturing a plurality of vital-sign signals of said driver and transmitting said vital-sign signals to a monitoring system, wherein said vital-sign signals include a respiration rate signal, a heart rhythm signal and a blood pressure signal;

a processor of said monitoring system using said vital-sign signals to train an artificial neural network and establishing a plurality of personalized models specific to said driver, including a respiration rate model, a heart rhythm model and a blood pressure model, wherein each said personalized model has a threshold value; and

said monitoring system examining whether any one of said vital-sign signals exceeds said threshold value thereof, determining a risk level of said driver according to a quantity of types of said vital-sign signals exceeding said threshold values thereof, and emitting an alert if necessary.

2. The method for detecting a driver'"'"'s sudden heart attack according to claim 1, wherein said monitoring system is installed in said vehicle and includes a memory recording said vital-sign signals and said personalized models.

3. The method for detecting a driver'"'"'s sudden heart attack according to claim 1, wherein while only one type of said vital-sign signals exceeds said threshold value thereof, said driver has a low-level risk;

while two types of said vital-sign signals exceed said threshold values thereof, said driver has a medium-level risk;

while all three types of said vital-sign signals exceed said threshold values thereof, said driver has a high-level risk.

4. The method for detecting a driver'"'"'s sudden heart attack according to claim 3, wherein said threshold value of said respiration signal is over twice a mean respiration rate.

5. The method for detecting a driver'"'"'s sudden heart attack according to claim 3, wherein said threshold value of said heart rhythm signal is over 150 heartbeats per minute.

6. The method for detecting a driver'"'"'s sudden heart attack according to claim 3, wherein said threshold value of said blood pressure signal is a systolic pressure below 90 mmHg.

7. The method for detecting a driver'"'"'s sudden heart attack according to claim 1, wherein before said personalized models are established, initial values are preset to be said threshold values.

8. A system for detecting a driver'"'"'s sudden heart attack, applying to detecting whether a driver of a vehicle is suffering a sudden heart attack, and comprising

a plurality of sensors persistently capturing a plurality of vital-sign signals of said driver, wherein said vital-sign signals include a respiration rate signal, a heart rhythm signal and a blood pressure signal;

and

a monitoring system including a processor and a memory, wherein said processor uses said vital-sign signals to train a plurality of personalized models, and stores said personalized models in said memory, and wherein said personalized models include a respiration rate model, a heart rhythm model and a blood pressure model, and wherein said processor respectively sets threshold values of said vital-sign signals according to said personalized models, and wherein said processor examines whether any one of said vital-sign signals exceeds said threshold value thereof, determines a risk level of said driver according to a quantity of types of said vital-sign signals exceeding said threshold values thereof, and emits an alert if necessary.

9. The system for detecting a driver'"'"'s sudden heart attack according to claim 8, wherein while only one type of said vital-sign signals exceeds said threshold value thereof, said driver has a low-level risk;

while two types of said vital-sign signals exceed said threshold values thereof, said driver has a medium-level risk;

while all three types of said vital-sign signals exceed said threshold values thereof, said driver has a high-level risk.

10. The system for detecting a driver'"'"'s sudden heart attack according to claim 9, wherein said threshold value of said respiration signal is over twice a mean respiration rate.

11. The system for detecting a driver'"'"'s sudden heart attack according to claim 9, wherein said threshold value of said heart rhythm signal is over 150 heartbeats per minute.

12. The system for detecting a driver'"'"'s sudden heart attack according to claim 9, wherein said threshold value of said blood pressure signal is a systolic pressure below 90 mmHg.