SYSTEMS AND METHODS FOR PREDICTING SEIZURES

• US 20150272494A1
• Filed: 03/26/2015
• Published: 10/01/2015
• Est. Priority Date: 03/26/2014
• Status: Active Grant

• Current Assignee: Eco-Fusion
• Original Assignee: Eco-Fusion
• Inventors: Fuerst, Oren
• Granted Patent: US 9,968,288 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• 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 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/1101 Detecting tremor
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• 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: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: A61M 21/02 for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: A61M 2205/054 with electrotherapy
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: A61N 1/36064 Epilepsy
• CPC Class Codes: A61N 1/37258 Alerting the patient
• CPC Class Codes: A61N 1/37282 characterised by communication with experts in remote locations using a network
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

The present invention provides for a computer system including at least one server having software stored on a non-transient computer readable medium; where, upon execution of the software, the at least one server is at least configured to: i) receiving physiological data representative of a first physiological measurement of at least one physiological characteristic of an epileptic user; ii) receiving physiological data representative of a second physiological measurement of at least one physiological characteristic of the epileptic user; iii) comparing the first physiological measurement of the epileptic user to the second physiological measurement of the epileptic user; iv) based on the comparing, determining that a difference between the first physiological measurement of the epileptic user and the second physiological measurement is: a) higher than a predetermined threshold value, or b) smaller than the predetermined threshold value; and v) generating at least one alert; vi) transmitting the at least one alert.

Claims

1. A computer system, comprising:

a) at least one server having software stored on a non-transient computer readable medium;

wherein, upon execution of the software, the at least one server is at least configured to;

i) receiving, in real-time, physiological data representative of a first physiological measurement of at least one physiological characteristic of the user, wherein the at least one physiological characteristic is selected from the group consisting of;

heart rate, heart rate variability, low frequency heart beat variability, a low frequency heart beat variability, PPG signal, a high frequency heart beat variability, oxygen saturation, temperature, hand movement, body tremor, galvanic skin response, or any combination thereof;

ii) receiving, in real-time, physiological data representative of a second physiological measurement of at least one physiological characteristic of the user, wherein the at least one physiological characteristic is selected from the group consisting of;

heart rate, heart rate variability, low frequency heart beat variability, a low frequency heart beat variability, a high frequency heart beat variability, PPG signal, oxygen saturation, temperature, hand movement, galvanic skin response, or any combination thereof;

iii) comparing, in real-time, the first physiological measurement of the user to the second physiological measurement of the user;

iv) based on the comparing, determining, in real-time, that a difference between the first physiological measurement of the user and the second physiological measurement is;

a) higher than a predetermined threshold value, or

b) smaller than the predetermined threshold value, and then;

v) generating, in real-time, at least one alert when the at least one pre-determined physiological value is higher than the predetermined threshold value;

vi) transmitting, in real-time, the at least one alert to at least one of;

the user, at least one family member, at least one medical practitioner, or any combination thereof; and

vii) when the at least one pre-determined physiological measurement is smaller than the predetermined threshold value, causing to continue measuring, in real-time, the at least one physiological characteristic of the user.

2. A method of treatment, comprising:

when at least one alert generated by at least one wearable computing device is received by a user, administering an effective amount of an epileptic-directed treatment to the user so as to reduce a severity or occurrence of an imminent epileptic seizure,

wherein the epileptic-directed treatment is selected from the group consisting of an epileptic-directed medication, electrotherapy, relaxation therapy, and breathing therapy,

wherein the at least one alert is generated regarding at least one physiological condition;

wherein the at least one alert is generated when a measurement of the at least one physiological condition is higher than at least one predetermined threshold measurement,

wherein the at least one physiological condition of the user is selected from the group consisting of;

heart rate, heart rate variability, oxygen saturation, PPG signal, temperature, hand movement, galvanic skin response, or any combination thereof,

wherein at least one alert is transmitted to at least one of;

the user, at least one family member, at least one medical practitioner, or any combination thereof, and

wherein, when the measurement of the at least one physiological condition is smaller than the predetermined threshold measurement, continuing to measure the at least one physiological condition of the user.

3. The method of treatment of claim 2,

wherein the at least one alert is further generated when a first physiological measurement is compared to a second physiological measurement,

wherein the second physiological measurement is selected from the group consisting of:

heart rate, heart rate variability, oxygen saturation, temperature, hand movement, galvanic skin response, PPG signal, or any combination thereof;

wherein the at least one alert is generated when a difference between the first physiological measurement of the user and the second physiological measurement is higher than a predetermined threshold value.

4. A computer system, comprising:

a) at least one server having software stored on a non-transient computer readable medium;

wherein, upon execution of the software, the at least one server is at least configured to;

(i) receiving, data representative of a measurement of at least one psychological or physiological characteristic of the user, wherein the at least one psychological or physiological characteristic is selected from the group consisting of;

food intake, previous stress level, frequency and timing of previous epileptic seizure, medication information or any combination thereof;

ii) receiving, in real-time, physiological data representative of a first physiological measurement of at least one physiological characteristic of the user, wherein the at least one physiological characteristic is selected from the group consisting of;

heart rate, heart rate variability, a low frequency heart beat variability, a high frequency heart beat variability, oxygen saturation, temperature, hand movement, body tremor, galvanic skin response, or any combination thereof;

iii) receiving, in real-time, physiological data representative of a second physiological measurement of at least one physiological characteristic of an epileptic user, wherein the at least one physiological characteristic is selected from the group consisting of;

heart rate, heart rate variability, a low frequency heart beat variability, a high frequency heart beat variability, oxygen saturation, temperature, hand movement, galvanic skin response, or any combination thereof;

iv) comparing, in real-time, the first physiological measurement of the user to the second physiological measurement of the user;

v) based on the comparing, determining, in real-time, that a difference between the first physiological measurement of the user and the second physiological measurement is;

a) higher than a predetermined threshold value, or

b) smaller than the predetermined threshold value, and then;

vi) generating, in real-time, at least one alert when the at least one pre-determined physiological value is higher than the predetermined threshold value;

vii) transmitting, in real-time, the at least one alert to at least one of;

the user, at least one family member, at least one medical practitioner, or any combination thereof; and

viii) when the at least one pre-determined physiological value is smaller than the predetermined threshold value, causing to continue measuring, in real-time, the at least one physiological characteristic of the user.