Method and device for recognising the condition of vehicle occupants
First Claim
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1. A method for identifying a condition of a vehicle occupant on the basis of ballistocardiograph (BCG) data, comprising:
- obtaining the BCG data of the vehicle occupant from a BCG sensor, wherein the BCG sensor is a micro-electrical-mechanical (MEM) sensor;
carrying out a cross-correlation function of a BCG signal with heartbeat parameters in an optimum filter, wherein the heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function;
locating probable peaks in the cross-correlation function;
calculating a heart rate from the probable peaks; and
wherein the heartbeat parameters include a plurality of heartbeat patterns that are generated by frequency variation of one or more predefined heartbeat patterns within natural heartbeat limits.
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Abstract
The physical and/or mental condition of a vehicle occupant can be recognized on the basis of a BCG (ballistocardiograph) signal, which is obtained by means of a BCG sensor. The BCG sensor is an MEM sensor; a cross-correlation of the BCG signal with heartbeat parameters is carried out in an optimum filter, which heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; and probable peaks are located in a cross-correlation function found in this manner and the heart rate is calculated therefrom.
6 Citations
20 Claims
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1. A method for identifying a condition of a vehicle occupant on the basis of ballistocardiograph (BCG) data, comprising:
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obtaining the BCG data of the vehicle occupant from a BCG sensor, wherein the BCG sensor is a micro-electrical-mechanical (MEM) sensor; carrying out a cross-correlation function of a BCG signal with heartbeat parameters in an optimum filter, wherein the heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; locating probable peaks in the cross-correlation function; calculating a heart rate from the probable peaks; and wherein the heartbeat parameters include a plurality of heartbeat patterns that are generated by frequency variation of one or more predefined heartbeat patterns within natural heartbeat limits. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system, comprising:
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a ballistocardiograph (BCG) sensor, wherein the BCG sensor is a micro-electrical-mechanical (MEM) sensor; and a computing device programmed to obtain the BCG data of a vehicle occupant from the BCG sensor; carry out a cross-correlation function of a BCG signal with heartbeat parameters in an optimum filter, wherein the heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; locate probable peaks in the cross-correlation function; calculate a heart rate from the probable peaks; and wherein the computing device is further programmed to include in the heartbeat parameters a plurality of heartbeat patterns that are generated by frequency variation of one or more predefined heartbeat patterns within natural heartbeat limits. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for identifying a condition of a vehicle occupant on the basis of ballistocardiograph (BCG) data, comprising:
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obtaining the BCG data of the vehicle occupant from a BCG sensor, wherein the BCG sensor is a micro-electrical-mechanical (MEM) sensor; carrying out a cross-correlation function of a BCG signal with heartbeat parameters in an optimum filter, wherein the heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; locating probable peaks in the cross-correlation function; calculating a heart rate from the probable peaks; and wherein a maximum of the cross-correlation function is found by short-term interval cross-correlation of the BCG signal with the generated heartbeat patterns.
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20. A system, comprising:
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a ballistocardiograph (BCG) sensor, wherein the BCG sensor is a micro-electrical-mechanical (MEM) sensor; and a computing device programmed to obtain the BCG data of a vehicle occupant from the BCG sensor; carry out a cross-correlation function of a BCG signal with heartbeat parameters in an optimum filter, wherein the heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; locate probable peaks in the cross-correlation function; calculate a heart rate from the probable peaks; and find a maximum of the cross-correlation function by short-term interval cross-correlation of the BCG signal with the generated heartbeat patterns.
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Specification