Animal of Equidae Family Band or Collar for Health & Vital Signs Monitoring, Alert and Diagnosis

• US 20160058379A1
• Filed: 08/26/2014
• Published: 03/03/2016
• Est. Priority Date: 08/26/2014
• Status: Abandoned Application

• Current Assignee: Petpace Ltd.
• Original Assignee: Pet Place Ltd.
• Inventors: MENKES, Avi, DAGAN, Asaf
• Application Number:
  US14/468,356
• Publication Number:
  US 20160058379A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/40 Animals
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/063 in a linear array
• CPC Class Codes: A61B 5/0008 Temperature signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/02455 provided with high/low alarm devices
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• 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 5/746 : 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 5/747 : in case of emergency, i.e. alerting emergency services
• CPC Class Codes: A61B 7/00 : Instruments for auscultation
• CPC Class Codes: A61B 7/008 : Detecting noise of gastric tract, e.g. caused by voiding
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment

Abstract

A system for monitoring vital signs of an animal such as a horse comprises a band on leg(s) or a neck, an accelerometer configured to measure at least one of resting patterns, activity patterns, movement patterns, position patterns, lameness, kicking, stomping, lifting leg, pawing, and a non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the animal: temperature, pulse rate, respiration rate. One or more processors are configured to receive sensor output data and reference data concerning the measured bioparameters of for example a horse, or of a population of the horse, and determine a suspicion of a specific medical condition by: (i) scoring at least two bioparameters and comparing a cumulative score to a threshold cumulative score or to a threshold cumulative range; or (ii) identifying an abnormal pattern. The processor(s) may send an alert if at least one specific medical condition is suspected.

Claims

1. A system for monitoring vital signs of an animal of a Equidae comprising:

a band having a working surface configured to wrap around one or more of (a) a neck of the animal and (b) at least one leg of the animal;

a sensor array comprising at least one sensor element situated along a circumference of the band, the at least one sensor element including at least one of (i) an accelerometer configured to measure at least one accelerometer-measured bioparameter of the animal from among;

resting patterns, activity patterns, movement patterns, position patterns, lameness, kicking, stomping, lifting leg, pawing and (ii) a non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the animal;

temperature, pulse rate, respiration rate;

one or more remote or local processors configured to receive (a) sensor output data from the sensor array concerning the measured one or more bioparameters and (b) reference data concerning the measured one or more bioparameters of the animal or of a population of the animal, the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following;

(i) scoring at least two bioparameters relative to the reference data and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range;

or

(ii) identifying an abnormal pattern in at least one bioparameter from among the at least one of (I) the accelerometer-measured bioparameters and (II) the non-accelerometer-measured bioparameters,

the one or more remote or local processors configured to send an alert if at least one specific medical condition is suspected.

2. The system of claim 1, wherein the at least one specific medical condition is colic and the at least one sensor element is a piezoelectric sensor configured to measure at least pulse rate.

3. The system of claim 1, wherein:

the sensor array comprises at least two sensor elements including the accelerometer and the non-accelerometer sensor;

the one or more remote or local processors are configured to receive (a) sensor output data from the sensor array concerning the measured bioparameters and (b) reference data concerning the measured bioparameters of the animal or of the population of the animal, the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following;

(i) scoring at least two bioparameters relative to the reference data and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range;

or

(ii) identifying an abnormal pattern in at least one bioparameter from among the accelerometer-measured bioparameters and the non-accelerometer-measured bioparameters.

4. The system of claim 3, further comprising combining the identifying of the abnormal pattern in the at least one bioparameter with identifying abnormal patterns in at least one other bioparameter.

5. The system of claim 3, wherein the identifying of the abnormal pattern in the at least one bioparameter involves identifying said abnormal patterns in at least one accelerometer-measured bioparameter and identifying abnormal patterns in at least one non-accelerometer-measured bioparameter.

6. The system of claim 5, wherein the specific medical condition is colic and the abnormal pattern in the at least one accelerometer-measured bioparameters is an abnormal pattern of movement comprising at least one of pawing;

kicking;

repeatedly lying down and rising;

rolling or thrashing;

change in activity level including lethargy or pacing or a constant shifting of weight when standing;

stretching or abnormal posturing;

or dorsal recumbency in foals sensed by the accelerometer.

7. The system of claim 6, wherein the non-accelerometer-measured bioparameters are at least one of elevated body temperature measured by a temperature sensor, change in the degree of gut sounds measured by a sound sensor, groaning measured by a sound sensor and loss of appetite measured by a proximity sensor.

8. The system of claim 3, wherein the sensor array is configured to measure at least two of the following specific medical conditions:

colic, laminitis and lameness.

9. The system of claim 3, wherein the at least two sensor elements comprise at least four sensor elements distributed at different points along the circumference of the band.

10. The system of claim 3, wherein the one or more remote or local processors are configured to determine whether a new parameter, that is a function of a combination of each of the at least two bioparameters, exceeds a threshold level or range.

11. The system of claim 1, wherein the animal is a race horse, the at least one specific medical condition is fitness, the at least one sensor element is a piezoelectric sensor for measuring pulse, and wherein the one or more remote or local processors are configured to determine a heart rate variability from the pulse.

12. The system of claim 1, wherein the at least one specific medical condition is laminitis and the one or more remote or local processors are configured to base a suspicion of laminitis at least in part on

scoring at least two bioparameters from among (i) loss of appetite, (ii) decreased activity (iii) abnormal standing posture, (iv) walking with a slow, crouching, short-striding gait, (v) elevated skin temperature above a hoof and within 20 centimeters of the hoof of a leg of the animal, (vi) an exaggerated and bounding pulse in a leg of the animal, (vii) severe pain (viii) increased pulse rate (ix) increased respiratory rate, and (x) a an increased amount of time lying down,

and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range.

13. The system of claim 1, wherein the at least one specific medical condition is lameness and the one or more remote or local processors are configured to

base a suspicion of lameness at least in part on

scoring the at least two bioparameters from among (i) shifting weight, (ii) abnormal positions, (iii) head bobbing, (iv) decreased activity, (v) pain, (vi) bounding pulses, wherein “

(i)”

through “

(iv)”

are measured by the accelerometer and “

(v)”

through “

(vi)”

are measured by a piezoelectric sensor.

14. The system of claim 1, further comprising a two-way communication device for communicating the suspicion in a form of an alert to a remotely stationed veterinarian or other user.

15. The system of claim 1, wherein the one or more remote or local processors are configured to determine whether each of the at least two bioparameters exceeds a threshold level or range.

16. The system of claim 1, wherein the band comprises a layer of an elastic material, the band also having a rear surface facing an opposite direction to the working surface.

17. The system of claim 1, wherein the at least one sensor is a piezoelectric sensor and further comprising at least one acoustic concentrator projecting toward a body portion of the animal from the working surface at one or more regions along the circumference;

and at least one acoustic balancer projecting from the rear surface at the one or more regions along the circumference, the at least one acoustic balancer situated at a region along the circumference at least partly behind the at least one acoustic concentrators.

18. The system of claim 1, wherein the at least one sensor includes an accelerometer configured to measure at least two of pawing, kicking, rolling or thrashing, stretching.

19. The system of claim 1, wherein the animal is a horse and the band is configured to wrap around at least one leg of the horse above a hoof of said at least one leg, and within 20 centimeters of the hoof of the horse.

20. A system for monitoring vital signs of an animal of an Equidae family, comprising:

a band having a working surface configured to wrap around one or more of (a) a neck of the animal and (b) at least one leg of the animal;

one or more accelerometers situated along a circumference of the band and configured to measure at least one bioparameter of the animal from among;

resting patterns, activity patterns, movement patterns, position patterns, lameness, kicking, stomping, lifting leg, pawing,

one or more remote or local processors configured to receive (a) sensor output data from the one or more accelerometers concerning the measured bioparameters and (b) reference data concerning the measured bioparameters of the animal or of a population of the animal, the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following;

(i) scoring at least two bioparameters and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range;

or

(ii) identifying an abnormal pattern in at least one accelerometer-measured bioparameter,

the one or more remote or local processors configured to send an alert if at least one specific medical condition is suspected.

21. The system of claim 20, further comprising combining the identifying of the abnormal pattern in the at least one bioparameter with identifying abnormal patterns in at least one other bioparameter.

22. The system of claim 20, wherein the one or more remote or local processors are configured to determine whether each of the at least two bioparameters exceeds a threshold level or range.

23. The system of claim 20, wherein the one or more remote or local processors are configured to determine whether a new parameter, that is a function of a combination of each of the at least two bioparameters, exceeds a threshold level or range.

24. A method of monitoring an animal of an Equidae family to determine a suspicion of a specific medical condition in the animal, comprising:

providing a band on the animal configured to wrap around one or more of (a) a neck of the animal and (b) at least one leg of the animal, the band including a sensor array comprising at least one sensor element situated along a circumference of the band, the at least one sensor element including at least one of (i) an accelerometer configured to measure at least one accelerometer-measured bioparameter of the animal from among;

resting patterns, activity patterns, movement patterns, position patterns, lameness, kicking, stomping, lifting leg, pawing and (ii) a non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the animal;

temperature, pulse rate, respiration rate;

one or more local or remote processors receiving (a) sensor output data from the sensor array concerning the measured one or more bioparameters and (b) reference data concerning the measured one or more bioparameters of the animal or of a population of the animal, the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following;

(i) scoring at least two bioparameters relative to the reference data and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range;

or

(ii) identifying an abnormal pattern in at least one bioparameter from among the at least one of (i) the accelerometer-measured bioparameters and (ii) the non-accelerometer-measured bioparameters; and

the one or more remote or local processors sending an alert if at least one specific medical condition is suspected.

25. The method of claim 24, further comprising configuring the band with at least one acoustic concentrator and at least one acoustic balancer so as to reduce signal to noise ratio.

26. The method of claim 24, further comprising requiring the sensor output data from the sensor array concerning the bioparameters to pass a quality assurance test, the quality assurance test being based on a threshold level of signal to noise ratio.

27. The method of claim 24, wherein

the sensor array comprises at least two sensor elements including the accelerometer and the non-accelerometer sensor;

the one or more remote or local processors are configured to receive (a) sensor output data from the sensor array concerning the measured bioparameters and (b) reference data concerning the measured bioparameters of the animal or of the population of the animal, the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following;

(i) scoring at least two bioparameters relative to the reference data and comparing a cumulative score of all scored bioparameters to a threshold cumulative score or to a threshold cumulative range;

or

(ii) identifying an abnormal pattern in at least one bioparameter from among the accelerometer-measured bioparameters and the non-accelerometer-measured bioparameters.