ECG and bioimpedance based glucose monitoring system
A glucose monitoring system can make use of electrocardiograph (ECG) data and bioimpedance data acquired from a wearable device. The ECG data and bioimpedance data can each be processed to obtain a glucose level. These values can be processed together to obtain an adapted glucose value. In some cases, photoplethysmography data can also be used to assist in processing of the ECG data. The various types of data can be acquired from sensors on a wearable device. The wearable device can be removably coupled to a user's skin, such as via an adhesive substrate. In some cases, the wearable device can include a reusable electronics module that couples to replaceable electrodes on a replaceable adhesive substrate.
1. A system for monitoring glucose levels of a patient, the system comprising:
at least two electrodes configured to output electrical data;
a display;
a memory;
a control system coupled to the memory comprising one or more processors, the control system configured to execute machine executable code to cause the control system to:
determine a first set of electrocardiogram features, wherein determining the first set of electrocardiogram features includes causing the control system to:
receive a set of electrical data output from the at least two electrodes;
process the set of electrical data to output a set of electrocardiogram features, wherein the set of electrocardiogram features comprises a QS amplitude, a QR amplitude, a TR amplitude, an ST amplitude, a Q-T interval, and a Q-S interval; and
store the electrocardiogram features in the memory;
determine a first bioimpedance spectroscopy (BIS) measurement, wherein determining the first BIS measurement includes causing the control system to:
send instructions to the electronic control system to apply a sinusoidal voltage to the at least two electrodes;
determine a set of BIS measurements based on electrical data output from the at least two electrodes; and
store the set of BIS measurements in the memory; and
determine a blood glucose level using the first set of electrocardiogram features and the first BIS measurement.
2. The system of claim 1 , wherein determining the blood glucose level further comprises:
processing the set of electrocardiogram features to output an ECG-based blood glucose level and store the ECG-based blood glucose level in the memory;
processing the set of BIS measurements to output a bioimpedance based BIS-based blood glucose level and store the BIS-based blood glucose level in the memory;
processing the BIS-based blood glucose level and the ECG-based blood glucose level to output an adapted blood glucose level and store the adapted blood glucose level in memory; and
displaying the adapted blood glucose level on the display.
3. The system of claim 1 , wherein the set of electrocardiogram features comprises a set of amplitude differences, wherein each of the set of amplitude differences represents a difference in amplitude between a first electrocardiogram point and a second electrocardiogram point.
4. The system of claim 1 , wherein processing the set of electrocardiogram features further comprises processing the electrocardiogram features according to the equation C1 * (the QS amplitude/the QR amplitude+the TR amplitude/the ST amplitude)+C2 * (the Q-T interval/the Q-S interval), wherein C1 and C2 are constants.
5. The system of claim 4 , wherein C1 and C2 are experimentally determined constants based on invasive blood glucose readings.
6. The system of claim 1 , further comprising an electronic control system connected to the at least two electrodes and configured to control a voltage applied to the at least two electrodes.
7. The system of claim 1 , wherein applying the sinusoidal voltage comprises applying a set of sinusoidal frequencies in the range of 1 kHz 200 MHz.
8. The system of claim 2 , wherein processing the set of BIS measurements to output the BIS-based blood glucose level further comprises calibration with temperature values, amplitudes of QRS complex values, and heart rate values using a linear equation.
9. The system of claim 2 , wherein processing the BIS-based blood glucose level and ECG-based blood glucose level to output the adapted blood glucose level comprises combining the BIS-based blood glucose level and the ECG-based blood glucose level with a linear formula.
10. The system of claim 9 , wherein the linear formula comprises summing the BIS-based blood glucose level multiplied by a first coefficient and the ECG-based blood glucose level multiplied by a second coefficient.
11. A system for monitoring glucose levels of a patient, the system comprising:
a set of two electrodes;
a display;
a memory;
a control system coupled to the memory comprising one or more processors, the control system configured to execute machine executable code to cause the control system to:
determine a first set of electrocardiogram features with machine executable code configured to cause the control system to:
receive a set of electrical data output from the at least two electrodes;
process the set of electrical data to output a set of electrocardiogram features, wherein the set of electrocardiogram features comprises a QS amplitude, a QR amplitude, a TR amplitude, an ST amplitude, a Q-T interval, and a Q-S interval; and
store the electrocardiogram features in the memory;
determine a first bioimpedance spectroscopy (BIS) measurement with machine executable code configured to cause the control system to:
send instructions to the electronic control system to apply a sinusoidal voltage to the at least two electrodes;
determine a set of BIS measurements based on electrical data output from the at least two electrodes; and
store the set of BIS measurements in the memory; and
determine a blood glucose level using the first set of electrocardiogram features and the first BIS measurement.
12. The system of claim 11 , further comprising machine executable code configured to cause the control system to process the set of BIS measurements to output a fluid volume estimation, or a body cell mass estimation.
13. The system of claim 11 , wherein the set of at least two electrodes, the memory, and the control system are contained in a wearable device configured to be attached to a patient.
14. The system of claim 13 , wherein the at least two electrodes comprise only two electrodes.
15. The system of claim 14 , wherein the wearable device is configured to be a wearable patch.
16. A system for monitoring glucose levels of a patient, the system comprising:
at least two electrodes configured to output electrical data;
a memory;
a control system coupled to the memory comprising one or more processors, the control system configured to perform operations including:
determining a first set of electrocardiogram (ECG) features, wherein determining the first set of ECG features includes:
receiving a set of electrical data output from the at least two electrodes;
processing the set of electrical data to output a set of ECG features comprising a QS amplitude, a QR amplitude, a TR amplitude, an ST amplitude, a Q-T interval, and a Q-S interval; and
storing the ECG features in the memory;
determining a first bioimpedance spectroscopy (BIS) measurement, wherein determining the first BIS measurement includes:
sending instructions to the electronic control system to apply a sinusoidal voltage to the at least two electrodes;
determining a set of BIS measurements based on electrical data output from the at least two electrodes; and
storing the set of BIS measurements in the memory;
determining an ECG-based blood glucose level using the set of ECG features;
determining a BIS-based blood glucose level using the set of BIS measurements; and
determining an adapted blood glucose level based on the ECG-based blood glucose level and the BIS-based blood glucose level.
17. The system of claim 16 , wherein determining the ECG-based blood glucose level using the set of ECG features includes applying the equation t,? wherein BG ECG is the ECG-based blood glucose level, C1 is a first constant, and C2 is a second constant.
18. The system of claim 17 , wherein C1 and C2 are determined by experimentation using a data set containing invasive blood glucose readings.