Device and method for determining a comparison value of biodata and for recording biodata

A method for determining an individual risk for an individual, comprising the following steps:

• determining measurement data of at least three heart-specific and/or circulation-specific and/or respiration-specific parameters of the user, selected from the group comprising:
• continuous wave fluctuation (CWF), SpO2, SaO2, pulse rate, heart rate, and blood pressure by at least one noninvasive sensor device;
• determining the measurement data over a period of at least one minute;
• determining measurement data with a synchronized time recording;
• bringing together time information and the measurement data;
• analyzing the measurement data with the time information being taken into account;
• carrying out the analysis as a pattern recognition, including, at least in intervals, detecting a course of the measurement with respect to time of at least one parameter can be and evaluating the course with respect to a typical individual pattern and/or a progressive pattern to identify user-specific individual patterns and/or patterns of development;
• analyzing as to whether the identified user-specific individual patterns and/or patterns of development are comparable in a user-specific way with definable threshold values to identify threshold value deviations;
• and
• analyzing as to whether the identified threshold value deviations of the user-specific individual patterns and/or patterns of development are quantified and/or can be qualified
• wherein the measured data is determined using a pulse oximeter, wherein the sensor is a pulse oximeter adapted to record a plethysmogram and SpO2, wherein the evaluation unit extracts CWP's (continuous wave parameters) from the plethysmogram, the evaluation unit extracting the following as CWP's:
• pulse wave amplitude, a ratio of different integrals over different intervals of the plethysmogram, a quantity related to PTT (pulse transit time), the evaluation unit being adapted to compute a CWF (continuous wave fluctuation) signal from the CWP's as a function of time, wherein the signals are analyzed by pattern recognition and compared with stored values to provide a result that yields a patient-specific risk index that is suitable for predicting a risk of cardiovascular disease.

A device for determining and analyzing biophysical data of an individual, which device comprises a basic module with a power supply, a memory unit, and at least one sensor device for noninvasive measurement of at least three test signals that represents cardiac activity and/or respiratory activity, which is selected from the following group:

• pulse rate, plethysmogram, oxygen saturation, respiratory signal, and heart signal;
• and an analyzer connected to the sensor device for extracting at least one CWP (continuous wave parameter) from the test signals, and a device adapted for determining at least one CWF (continuous wave fluctuation), wherein the CWF (continuous wave fluctuation) is determined from the CWP and/or the test signal, wherein the sensor is a pulse oximeter adapted to record a plethysmogram and SpO2, wherein the evaluation unit extracts CWP's (continuous wave parameters) from the plethysmogram, the evaluation unit extracting the following as CWP's:
• pulse wave amplitude, a ratio of different integrals over different intervals of the plethysmogram, a quantity related to PTT (pulse transit time), the evaluation unit being adapted to compute a CWF (continuous wave fluctuation) signal from the CWP's as a function of time, wherein the CWF signal contains information about fluctuations of the plethysmogram or the CWP's derived from the plethysmogram, wherein the signals are analyzed by pattern recognition and compared with stored values to provide a result that yields a patient-specific risk index that is suitable for predicting a risk of cardiovascular disease.

A device for determining and analyzing biophysical data of an individual, comprising:

• at least one sensor device for the noninvasive measurement of at least three signals, including a plethysmogram and CWF (continuous wave fluctuation) signals derived from the plethysmogram , SpO2 and pulse rate;
• and an analyzer connected to the sensor device for analyzing transient and/or periodically recurring patterns of the measured signals, which analyzer has at least one module adapted for evaluation of information that is related to frequency or amplitude of the signals or parameters derived from the signals, wherein the sensor is a pulse oximeter adapted to record a plethysmogram and SpO2, wherein the evaluation unit extracts CWP's (continuous wave parameters) from the plethysmogram, the evaluation unit extracting the following as CWP's:
• pulse wave amplitude, a ratio of different integrals over different intervals of the plethysmogram, a quantity related to PTT (pulse transit time), the evaluation unit being adapted to compute a CWF (continuous wave fluctuation) signal from the CWP's as a function of time, wherein the CWF signal contains information about fluctuations of the plethysmogram or the CWP's derived from the plethysmogram, the signals are analyzed by pattern recognition and compared with stored values to provide a result that yields a patient-specific risk index that is suitable for predicting a risk of cardiovascular disease.

A method for determining and analyzing biophysical data of an individual, comprising the steps of:

• noninvasively measuring at least three signals using at least one sensor device, the two signals being selected from the group comprising a plethysmogram with CWF (continuous wave fluctuation) signals derived from the plethysmogram, SpO2 signals and pulse rate;
• determining transient and/or periodically recurring patterns of the measured signals with an analyzer connected to the sensor device;
• and further processing, based on results from the analyzer, information which is related to frequency and/or amplitude of the signals or parameters derived from the signals, wherein the sensor is a pulse oximeter adapted to record a plethysmogram and SpO2, wherein the evaluation unit extracts CWP's (continuous wave parameters) from the plethysmogram, the evaluation unit extracting the following as CWP's:
• pulse wave amplitude, a ratio of different integrals over different intervals of the plethysmogram, a quantity related to PTT (pulse transit time), the evaluation unit being adapted to compute a CWF (continuous wave fluctuation) signal from the CWP's as a function of time, wherein the CWF signal contains information about fluctuations of the plethysmogram or the CWP's derived from the plethysmogram, the signals are analyzed by pattern recognition and compared with stored values to provide a result that yields a patient-specific risk index that is suitable for predicting a risk of cardiovascular disease.