MEDICATION MANAGEMENT

• US 20150112208A1
• Filed: 10/23/2014
• Published: 04/23/2015
• Est. Priority Date: 10/23/2013
• Status: Abandoned Application

• Current Assignee: Robert F. Dudley
• Original Assignee: Quanttus Inc
• Inventors: He, David Da, Bijjani, Richard Robehr, Vargas, Bogart
• Application Number:
  US14/521,897
• Publication Number:
  US 20150112208A1
• Time in Patent Office: Days
• US Class Current: 600/479
• 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 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0285 Measuring or recording phase velocity of blood waves
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/117 : Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/14542 : for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/165 : Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/363 : Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/4809 : Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4815 : Sleep quality
• CPC Class Codes: A61B 5/4818 : Sleep apnoea
• CPC Class Codes: A61B 5/4833 : Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/486 : Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6801 : specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 : Arm or wrist
• CPC Class Codes: A61B 5/6898 : Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• 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 5/7278 : Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• 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 5/742 : using visual displays A61B5/339 takes 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: G06F 21/32 : using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 3/0481 : based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G08B 21/0453 : worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G08B 21/06 : indicating a condition of sleep, e.g. anti-dozing alarms
• CPC Class Codes: H04L 67/12 : specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The technology described in this document is embodied in a method that includes processing data in a first dataset that represents time-varying information about at least one pulse pressure wave propagating through blood in a subject acquired at a location of the subject. The method also includes providing, based on the data, information about a medication regimen of the subject.

Claims

1-30. -30. (canceled)

31. A method comprising:

obtaining, using a first sensor, a first dataset that represents time-varying information about at least one pulse wave propagating through blood in a subject;

obtaining, using a second sensor, a second dataset that represents time-varying information about motion of the subject, wherein the first and second datasets are obtained from a particular portion of the body of the subject;

processing one or both of the first dataset and the second dataset to determine a reaction of the subject to a medication; and

transmitting, using a wireless transmission module, information about the medication based on the determined reaction of the subject to the medication.

32. The method of claim 31, further comprising determining a recommended medication regimen for the subject.

33. The method of claim 32, wherein the recommended medication regimen comprises one or more recommended dosage timings and one or more recommended dosage amounts.

34. The method of claim 31, wherein the information about at least one pulse wave propagating through blood in the subject comprises photoplethysmographic (PPG) data and the information about motion of the subject comprises one or both of motioncardiogram (MoCG) data and gross motion data.

35. The method of claim 31, wherein the datasets are acquired continuously.

36. The method of claim 31, wherein the datasets are acquired by a device worn by the subject, and the device does not reduce a mobility of the subject.

37. The method of claim 31, wherein the first and second datasets are obtained from a particular portion of the body of the subject.

38. The method of claim 37, wherein the particular portion of the body of the subject is a location on an arm of the subject.

39. The method of claim 31, wherein the reaction of the subject to the medication comprises one or both of:

a reaction related to the subject taking the medication; and

a reaction related to the subject not taking the medication.

40. The method of claim 31, further comprising:

determining, based on one or more of i) the first dataset, ii) the second dataset, and iii) the reaction of the subject to the medication, that the subject has potentially missed a dose of the medication; and

transmitting, using the wireless transmission module, a notification indicating that the subject has potentially missed the dose of the medication.

41. The method of claim 40, wherein the reaction of the subject to the medication is determined and stored prior to determining that the subject has potentially missed a dose of the medication.

42. The method of claim 40, wherein determining that the subject has potentially missed a dose of the medication comprises determining, based on one or both of the first and second datasets, that a blood pressure of the subject has crossed a threshold.

43. The method of claim 42, further comprising:

identifying a first point in the first dataset, the first point representing an arrival time of the pulse wave at a first body part of the subject;

identifying a second point in the second dataset, the second point representing an earlier time at which the pulse wave traverses a second body part of the subject; and

computing a pulse transit time (PTT) as a difference between the first and second points, the PTT representing a time taken by the pulse wave to travel from the second body part to the first body part of the subject,

wherein the PTT is used in determining a blood pressure of the subject.

44. The method of claim 43, wherein the first and second datasets are obtained from the first body part, and the second body part is an artery extending from the heart of the subject.

45. The method of claim 44, wherein the second body part is the aorta of the subject.

46. The method of claim 40, wherein determining that the subject has potentially missed a dose of the medication comprises determining, based on one or both of the first and second datasets, that a heart rate of the subject has crossed a threshold.

47. The method of claim 40, wherein determining that the subject has potentially missed a dose of the medication comprises determining, based on one or both of the first and second datasets, that a respiratory rate of the subject has crossed a threshold.

48. The method of claim 31, wherein determining the reaction of the subject to the medication comprises determining a blood pressure of the subject.

49. The method of claim 48, wherein the blood pressure of the subject is determined periodically.

50. The method of claim 31, wherein recommended dosage timings and amounts of the medication are determined so as to maintain a blood pressure of the subject within a defined range.

51. The method of claim 31, wherein determining the reaction of the subject to the medication comprises determining one or more of a heart rate, a regularity of the heart rate, a stroke volume, and a cardiac output of the subject.

52. The method of claim 31, wherein recommended dosage timings and amounts of the medication are determined so as to maintain a heart rate of the subject within a defined range.

53. The method of claim 31, wherein recommended dosage timings and amounts of the medication are determined so as to maintain one or both of a stroke volume and a cardiac output of the subject within a defined range.

54. The method of claim 31, wherein determining the reaction of the subject to the medication comprises determining a temperature of the subject.

55. The method of claim 31, wherein recommended dosage timings and amounts of the medication are determined so as to maintain a temperature of the subject within a defined range.

56. The method of claim 31, wherein determining the reaction of the subject to the medication comprises determining a respiratory rate of the subject.

57. The method of claim 31, wherein recommended dosage timings and amounts of the medication are determined so as to maintain a respiratory rate of the subject within a defined range.

58. A method comprising:

receiving, from a wireless device, a first dataset that represents time-varying information about at least one pulse wave propagating through blood in a subject;

receiving, from the wireless device, a second dataset that represents time-varying information about motion of the subject, wherein the first and second datasets are obtained from a particular portion of the body of the subject;

processing one or both of the first dataset and the second dataset to determine a reaction of the subject to a medication; and

transmitting information about the medication based on the determined reaction of the subject to the medication.

59. A system comprising:

a wireless device comprising;

a first sensor configured to obtain a first dataset that represents time-varying information about at least one pulse wave propagating through blood in a subject;

a second sensor configured to obtain a second dataset that represents time-varying information about motion of the subject, wherein the first and second sensors are configured to obtain the first and second datasets from a particular portion of the body of the subject;

one or more processing devices configured to process one or both of the first dataset and the second dataset to determine a reaction of the subject to a medication; and

a transmission module configured to transmit information about the medication based on the determined reaction of the subject to the medication.

60. A system comprising:

memory; and

one or more processors configured to;

receive a first dataset that represents time-varying information about at least one pulse wave propagating through blood in a subject;

receive a second dataset that represents time-varying information about motion of the subject, wherein the first and second datasets are obtained from a particular portion of the body of the subject;

process one or both of the first dataset and the second dataset to determine a reaction of the subject to a medication; and

transmit, to a remote device, information about the medication of the subject based on the determined reaction of the subject to the medication.