Wearable blood pressure monitoring system

• US 10,448,830 B2
• Filed: 09/22/2016
• Issued: 10/22/2019
• Est. Priority Date: 09/19/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Knickerbocker, John U., Lee, Hyung-Min, Lee, Kang-Wook
• Primary Examiner(s): Marlen, Tammie K
• Application Number:
  US15/272,663
• Publication Number:
  US 20180078154A1
• Time in Patent Office: 1,125 Days
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• 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

Abstract

An apparatus includes one or more memories storing computer readable code and processor(s). The processor(s), in response to loading and executing the computer readable code, cause the apparatus to perform operations including receiving electrocardiogram data from an electrocardiogram sensor. The electrocardiogram data includes data from an electrocardiogram from a person. The operations also include receiving pulse wave data from one or more pulse wave pressure sensors. The pulse wave data includes data from one or more pulse waves from the person. The operations further include determining blood pressure using the electrocardiogram data or the pulse wave data from the chest and the pulse wave data from the wrist or finger, and outputting an indication of the blood pressure. Another apparatus uses pulse wave data from two pulse wave sensors (e.g., pulse wave pressure sensor(s) and/or PPG sensor(s)) and blood pressure determinations are made using these pulse wave data.

Claims

1. An apparatus, comprising:

a first pulse wave sensor and a second pulse wave sensor; and

one or more memories storing computer readable code; and

one or more processors, the one or more processors, in response to loading and executing the computer readable code, causing the apparatus to perform operations comprising;

receiving first pulse wave data from the first pulse wave sensor,

wherein the first pulse wave sensor is configured to be placed at a first location on a person,

wherein first pulse wave data comprises data from one or more pulse waves from the first location on the person;

receiving second pulse wave data,

wherein the second pulse wave sensor is configured to be placed at a first second location on the person,

wherein at least one of the first pulse wave sensor and second pulse wave sensor comprises a pulse wave pressure sensor,

wherein the pulse wave pressure sensor comprises a layered structure configured, in response to pulse waves in the person, to generate electronic pulse waves in a form of a capacitance versus time,

wherein the first and second locations are different locations on the person,

wherein second pulse wave data comprises data from one or more pulse waves from the second location of the person;

determining blood pressure using at least the first and second pulse wave data,

wherein determining blood pressure using at least the first and second pulse wave data-further comprises determining a systolic blood pressure based on pulse transit time using the following;

SBP_PTT=a*ln(h²/PTT²)+b,

where h is the person'"'"'s height, a and b are constants which are empirically obtained, PTT is a pulse transit time determined using the first and second pulse wave data, and ln(⋅

) means natural logarithm, and wherein PTT is determined as a time between a maximum inclination in the first pulse wave data and a corresponding maximum inclination in the second pulse wave data; and

outputting an indication of the blood pressure.

2. The apparatus of claim 1, wherein the at least one pulse wave pressure sensor further comprises:

a sensor structure, comprising;

a first portion configured to contact the person at a skin surface of the person where the sensor structure is capable of taking readings concerning arteries or veins or both thereunder;

a second portion that contacts the first portion and is configured to have a capacitance, wherein a pulse pressure under the skin causes squeezing or bending between the first portion and a fixed part of the second portion, and

wherein the first and second portions are configured to create a capacitance change in response to the squeezing or bending in relation to a return to an original state of the first portion with a release of the pulse pressure; and

circuitry connected to the sensor structure and configured to measure and transmit a waveform for the sensor structure and configured to digitize the measured waveform, wherein the waveform captures the capacitance change.

3. The apparatus of claim 1, wherein the first pulse wave sensor comprises a photoplethysmography sensor, or the second pulse wave sensor comprises a photoplethysmography sensor.

4. The apparatus of claim 3, wherein the photoplethysmography sensor comprises a reflection-mode photoplethysmography sensor.

5. The apparatus of claim 1, wherein one of the first or second pulse wave sensors comprises a pulse wave pressure sensor, and another of the first or second pulse wave sensors comprises a photoplethysmography sensor.

6. The apparatus of claim 1, wherein the one or more memories and one or more processors are comprised in a hub, wherein the hub and at least the first and second pulse wave sensors are comprised in a set of devices, and wherein the first and second pulse wave sensors each comprise one or more memories and one or more processors, the first and second pulse wave sensors each perform sensing resulting in pulse wave data and communicating said data at least to the hub.

7. The apparatus of claim 6, wherein each device of the set of devices comprises one of a wireless or wired network interface used to communicate between devices.

8. The apparatus of claim 1, wherein the outputting is to one or more of a display or a wireless or wired network interface.

9. The apparatus of claim 1, wherein determining blood pressure further comprises determining diastolic blood pressure (DBP) using the following:

DBP=c*SBP_PTT+d T₂+e,

where c, d and e are constants which are empirically obtained, and T₂ is determined using selected pulse wave data from either the first pulse wave data or the second pulse wave data and is a time interval between a peak point of a pulse wave in the selected pulse wave data and a baseline point where the pulse wave reaches to the baseline.

10. The apparatus of claim 9, wherein the one or more processors, in response to loading and executing the computer readable code, further cause the apparatus to perform operations comprising:

outputting one or more indications of one or more of the following;

the systolic blood pressure based on pulse transit time (PTT) (SBP_PTT) and diastolic blood pressure, wherein the outputting is to one or more of a display or a wireless or wired network interface.

11. The apparatus of claim 1, wherein determining blood pressure using at least the first and second pulse wave data further comprises:

determining the systolic blood pressure using the following equation;

SBP=SBP_PTT[1+α

×

SI_DVP],

where SBP is systolic blood pressure, SBP_PTT is the systolic blood pressure based on the pulse transit time (PTT), α

is defined empirically, and SI_DVP is a stiffness index.

12. The apparatus of claim 11, wherein the one or more processors, in response to loading and executing the computer readable code, further cause the apparatus to perform operations comprising:

outputting one or more indications of one or more of the following;

the systolic blood pressure based on pulse transit time (PTT) (SBP_PTT),

diastolic blood pressure, and

the systolic blood pressure,

wherein the outputting is to one or more of a display or a wireless or wired network interface.

13. The apparatus of claim 11, wherein the stiffness index SI_DVP is determined using the following:

14. The apparatus of claim 13, wherein the one or more processors, in response to loading and executing the computer readable code, further cause the apparatus to perform operations comprising:

outputting one or more indications of one or more of the following;

the systolic blood pressure based on pulse transit time (PTT) (SBP_PTT),

diastolic blood pressure,

the systolic blood pressure, and

the stiffness index,

wherein the outputting is to one or more of a display or a wireless or wired network interface.

15. An apparatus, comprising:

a first pulse wave sensor configured to be placed at a first location on a person, wherein output of the first pulse wave sensor comprises data from one or more pulse waves;

a second pulse wave sensor configured to be placed at a second location on the person,

wherein at least one of the first pulse wave sensor and the second pulse wave sensor comprises a pulse wave pressure sensor,

wherein the pulse wave pressure sensor comprises a layered structure configured, in response to pulse waves in the person, to generate electronic pulse waves in a form of a capacitance versus time,

wherein the first and second locations are different locations on the person,

wherein output of the second pulse wave sensor comprises data from one or more pulse waves;

one or more memories storing computer readable code; and

one or more processors, wherein the one or more processors, in response to loading and executing the computer readable code, are configured to cause the apparatus to perform operations comprising;

determining blood pressure using at least the first and second pulse wave data, wherein determining blood pressure using at least the first and second pulse wave data-further comprises determining a systolic blood pressure (SBP_PTT) based on pulse transit time using the following;

SBP_PTT=a*ln(h²/PTT²)+b,

where h is the person'"'"'s height, a and b are constants which are empirically obtained, PTT is a pulse transit time determined using the first and second pulse wave data, and ln(⋅

) means natural logarithm, and wherein PTT is determined as a time between a maximum inclination in the first pulse wave data and a corresponding maximum inclination in the second pulse wave data and outputting an indication of the blood pressure.

16. The apparatus of claim 15, wherein the pulse wave pressure sensor further comprises:

a sensor structure, comprising;

a first portion configured to contact the person at a skin surface of the person where the sensor structure is capable of taking readings concerning arteries or veins or both thereunder;

a second portion that contacts the first portion and is configured to have a capacitance, wherein a pulse pressure under the skin causes squeezing or bending between the first portion and a fixed part of the second portion, and

wherein the first and second portions are configured to create a capacitance change in response to the squeezing or bending in relation to a return to an original state of the first portion with a release of the pulse pressure; and

circuitry connected to the sensor structure and configured to measure and transmit a waveform for the sensor structure and configured to digitize the measured waveform, wherein the waveform captures the capacitance change.

17. The apparatus of claim 15, wherein determining blood pressure using at least the first and second pulse wave data-further comprises determining diastolic blood pressure using the following:

DBP=c*SBP_PTT+d T₂+e,

where c, d and e are constants which are empirically obtained, and T₂ is determined using selected pulse wave data from either the first pulse wave data or the second pulse wave data is a time interval between a peak point of a pulse wave in the selected pulse wave data and a baseline point where the pulse wave reaches to the baseline.