US20200214644A1 - System for predicting thyrotoxicosis using a wearable device and computer program using the same - Google Patents

System for predicting thyrotoxicosis using a wearable device and computer program using the same Download PDF

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US20200214644A1
US20200214644A1 US16/647,963 US201716647963A US2020214644A1 US 20200214644 A1 US20200214644 A1 US 20200214644A1 US 201716647963 A US201716647963 A US 201716647963A US 2020214644 A1 US2020214644 A1 US 2020214644A1
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heart rate
bio
computing device
signal computing
measured
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Jae Hoon Moon
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Thyroscope Inc
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Seoul National University Hospital
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Publication of US20200214644A1 publication Critical patent/US20200214644A1/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
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    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118Determining activity level
    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/42Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
    • A61B5/4222Evaluating particular parts, e.g. particular organs
    • A61B5/4227Evaluating particular parts, e.g. particular organs endocrine glands, i.e. thyroid, adrenals, hypothalamic, pituitary
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • A61B5/721Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4809Sleep detection, i.e. determining whether a subject is asleep or not
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices

Definitions

  • An object of the present invention is to provide a system capable of managing thyrotoxicosis and predict the relapse thereof using a bio-signal of a patient, particularly a resting heart rate, measured by a wearable device.
  • Another object of the present invention is to provide a prediction computer program using the system.
  • the bio-signal computing device may output a warning alarm when an average value of the resting heart rates for a predetermined number of consecutive days is greater than the reference heart rate.
  • the bio-signal computing device may calculate a median value of the heart rates measured in each section for sections in which the number of steps is 0 for at least 15 minutes in a day and define a median value of the calculated median values as the resting heart rate of the day, and may output a warning alarm when an average value of the resting heart rates for five consecutive days is greater than the reference heart rate by 10 beats per minute and more.
  • FIG. 1 is a view schematically showing a system for predicting thyrotoxicosis according to an embodiment of the present invention
  • FIG. 2 is a schematic view of the configuration of a bio-signal computing device of FIG. 1 ;
  • FIG. 7 is a graph showing the association between thyroid hormone concentration and the resting heart rate measured during the clinical study of FIG. 4 ;
  • FIG. 8 is a graph showing the association between the change in the resting heart rate measured with a wearable device during the clinical study of FIG. 4 and thyrotoxicosis.
  • FIG. 1 is a view schematically showing a system for predicting thyrotoxicosis according to an embodiment of the present invention.
  • FIG. 2 is a schematic view of the configuration of a bio-signal computing device of FIG. 1 .
  • the system for predicting thyrotoxicosis of the present invention is a system for predicting thyrotoxicosis using a resting heart rate, the system including a wearable device 20 for measuring bio-signals of a patient and a bio-signal computing device 30 for communicating with the wearable device 20 to receive and compute the bio-signals.
  • the wearable device 20 communicates with the bio-signal computing device 30 through a network and measures bio-signals of a patient 10 , for example, a heart rate and the number of steps, to transmit the bio-signals to the bio-signal computing device 30 .
  • the wearable device 20 may be linked to the bio-signal computing device 30 through wired/wireless communication, and may preferably be an electronic device capable of performing a wireless communication function such as WiFi, Bluetooth, and the like.
  • the wearable device 20 may be various devices such as a smart watch, a smart band, and the like.
  • the wearable device 20 may include a communication module for wired/wireless communication and a sensor for measuring a heart rate and the number of steps.
  • the sensor embedded in the wearable device 20 includes one or more sensing means for identifying the body state and the body motion of the patient 10 , and may include, for example, a heart rate sensor, a gravity sensor, an acceleration sensor, a gyroscope, a GPS sensor, or a combination thereof.
  • the wearable device 20 may measure the heart rate of the patient 10 at regular intervals, for example, 5 to 10 times per minute. Also, the wearable device 20 measures the number of steps when the patient 10 moves.
  • the bio-signal computing device 30 is an electronic device which receives bio-signals from the wearable device 20 and computes the bio-signals to manage and predict thyrotoxicosis.
  • the bio-signal computing device 30 may be an electronic device capable of performing a communication function through wireless communication while a user is moving, and may be, for example, a portable phone including a smart phone, a tablet computer, a PDA, a wearable device, a smart watch, a smart band, and the like.
  • the computing unit 33 of the bio-signal computing device 30 uses the bio-signals received from the wearable device 20 to manage and predict thyrotoxicosis of the patient 10 .
  • the computing unit 33 defines a reference heart rate and a resting heart rate from the measured heart rate.
  • the ⁇ heart rate> is a value measured in the wearable device 20
  • the ⁇ reference heart rate> and the ⁇ resting heart rate> are values calculated from the heart rate.
  • a process of calculating the reference heart rate and the resting heart rate is as follows.
  • the computing unit 33 may calculate the resting heart rate by assigning different weight values to the median values by section calculated for one day.
  • sections in which the number of steps is 0 may be divided into a ⁇ wake-up section> and a ⁇ sleep section>.
  • the ⁇ wake-up section> may be defined as a section in which the number of steps is 0 for a predetermined period of time during which a patient is awake
  • the ⁇ sleep section> may be defined as a section in which the number of steps is 0 for a predetermined period of time during which the patient is in sleep.
  • Equation 1 a method for calculating a resting heart rate by assigning a weight value may be represented by Equation 1 below. According to Equation 1, by assigning a weight to the heart rate of the sleep section, not to the heart rate of the wake-up section, the association thereof with a thyroid function may be further increased.
  • the computing unit 33 defines the reference heart rate and the resting heart rate from the measured heat rates, and then, when the resting heart rate is greater than the reference heart rate, outputs a warning alarm through the output unit 35 or the wearable device 20 .
  • the computing unit 33 may output a warning alarm when an average value of resting heart rates of a predetermined number of consecutive days (for example, 5 consecutive days or more) is greater than the reference heart rate by a predetermined value (for example, 10 beats per minute) or more.
  • the difference between the resting heart rate and the reference heart rate is used to manage and predict thyrotoxicosis. The correlation among the resting heart rate, the reference heart rate and thyrotoxicosis will be described in detail later.
  • the processor 32 of the bio-signal computing device 30 executes the computer codes with the operating system and executes an operation of generating and using data.
  • the processor 32 may receive and process input and output data between components of the bio-signal computing device 30 using a series of commands
  • the processor 32 serves as a control unit for executing functions of the operating system software and various application software installed in the bio-signal computing device 30 .
  • FIG. 3 is a flow chart sequentially showing a method for predicting thyrotoxicosis according to an embodiment of the present invention.
  • the wearable device 20 measures the number of steps of the patient 10 and the heart rate at regular intervals and send the same to the bio-signal computing device 30 S 10 .
  • the bio-signal computing device 30 defines an average value of resting heart rates measured for a predetermined number of days during which a patient's thyroid function is in a normal state as a ‘reference heart rate.’ S 30
  • the bio-signal computing device 30 compares values of the resting heart rate and the reference heart rate S 40 and outputs a warning alarm S 50 through its own output unit or the wearable device 20 when the resting heart rate is greater than the reference heart rate.
  • the bio-signal computing device 30 may output a warning alarm when an average value of resting heart rates of a predetermined number of consecutive days (for example, 5 consecutive days or more) is greater than the reference heart rate by a predetermined value (for example, 10 beats per minute) or more.
  • FIG. 4 is a view schematically showing a clinical method using the prediction system of the present invention.
  • 30 thyrotoxicosis patients including new patients and relapse patients
  • the wearable devices used in the present clinical studies was Fitbit Charge HRTM and Fitbit Charge 2TM.
  • the patients wearing the wearable device visited a clinic three times and subjected to anti-thyroid drug treatment, and the change in thyroid hormone concentration during the treatment was compared with the change in heart rate measured using the wearable device.
  • heart rates measured by an automatic blood pressure monitor at the time of the visit to the clinic and hyperthyroidism symptom scales (HSS) were both measured and analyzed each time of the visit to the clinic.
  • FIG. 5 is a view showing thyroid hormone concentration measured at the time of a patient's visit to a clinic during a clinical study process of FIG. 4 .
  • BMI Body Mass Index
  • SBP Systolic Blood Pressure
  • DBP Diastolic Blood Pressure
  • HR Heart Rate
  • HSS Hyperthyroid Symptom Scale
  • free T4 stands for thyroid hormone
  • TSH Thyroid Stimulating Hormone
  • TB stands for Total Bilirubin
  • ALP stands for Alkaline Phosphorous
  • AST stands for Aspartate Transaminase
  • ALT Alamine Transaminase
  • WBC White Blood Cells.
  • the numerical values of thyroid hormone (free T4) which is measured at the time of the second and third visits to the clinic was gradually decreased to be within a normal range (0.8-1.8 ng/dL) when compared with the numerical value thereof measured at the first visit to the clinic.
  • FIG. 7 is a graph showing the association between thyroid hormone concentration and the resting heart rate measured during the clinical study of FIG. 4 .
  • WD-rHR is a resting heart rate obtained through a wearable device
  • HSS represents a value obtained by adding scores of items represented by 0-5 points on 10 representative symptoms of thyrotoxicosis on a survey
  • on-site HR is a heart rate measured with a blood pressure monitor at a clinic at the time of the visit to the clinic on a day when a blood test was conducted.
  • FIG. 8 is a graph showing the association between the change in the resting heart rate measured with a wearable device during the clinical study of FIG. 4 and thyrotoxicosis. Specifically, FIG. 8 shows the probability of being classified as thyrotoxicosis when each index increases by 1 standard deviation (SD) by dividing the data of FIG. 7 into cases in which the thyroid hormone (free T4) is greater than 1.8 ng/dL (that is, greater than an upper limit of a normal state, thereby being within a range of thyrotoxicosis) and not.
  • SD standard deviation
  • a resting heart rate (WD-HR) measured with a wearable device it has been found that when the resting heart rate increases by 1SD (about 10 beats per minute), the possibility of being classified as thyrotoxicosis increases three times.
  • the above results show that a single index which is the resting heart rate (WD-HR) measured with a wearable device is more excellent in predictability than the index (HSS) in which various symptoms of thyrotoxicosis are scored.
  • the heart rate (HR) typically measured at the time of the visit to a clinic did not show a statistically meaningful predictability of thyrotoxicosis.

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KR1020170119326A KR102033696B1 (ko) 2017-09-18 2017-09-18 웨어러블 장치를 이용한 갑상선기능항진증의 예측 시스템 및 예측 컴퓨터프로그램
KR10-2017-0119326 2017-09-18
PCT/KR2017/011892 WO2019054553A1 (ko) 2017-09-18 2017-10-26 웨어러블 장치를 이용한 갑상선기능항진증의 예측 시스템 및 예측 컴퓨터프로그램

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US18/091,751 Active US11903743B2 (en) 2017-09-18 2022-12-30 Method for providing alert of potential thyroid abnormality
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US18/414,154 Pending US20240148339A1 (en) 2017-09-18 2024-01-16 Method for providing alert of potential thyroid abnormality

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JP7399092B2 (ja) 2023-12-15
JP2020534125A (ja) 2020-11-26
EP3685735B1 (en) 2023-12-06
CN111372506A (zh) 2020-07-03
US20230144161A1 (en) 2023-05-11
CN111372506B (zh) 2024-01-12
KR102033696B1 (ko) 2019-10-21
KR20190032668A (ko) 2019-03-28
WO2019054553A1 (ko) 2019-03-21
US20210307702A1 (en) 2021-10-07
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