Resuscitation System

Abstract

To provide a resuscitation system for use in the resuscitation of a subject.SOLUTION: A resuscitation system comprises: a computing device (3) configured to input subject information and use the subject information to create a subject resuscitation strategy; a sensor (5) configured to detect subject biosignals and use the subject biosignals to monitor for a subject cardiac arrest event; and a defibrillator (7) configured to determine and deliver a subject resuscitation treatment.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a resuscitation system that uses information about a subject to determine a resuscitation strategy and tailor resuscitation treatment to the subject. [Background technology]

[0002] Both the European Resuscitation Council and the American Heart Association guidelines for adult basic life support in the event of cardiac arrest suggest that rescuers should take exactly the same actions for adult subjects, regardless of age, sex, health status, duration of cardiac arrest, etc. However, it is recognized that these and other characteristics may influence the subject's condition and therefore the optimal actions rescuers should take to achieve successful resuscitation and prevent loss of life. Summary of the Invention

[0003] In accordance with the present invention, there is provided a resuscitation system for use in resuscitating a subject, the resuscitation system comprising: a computing device configured to input subject information and use the subject information to create a resuscitation strategy for the subject; a sensor configured to detect a subject's biosignal and monitor the subject for a cardiac arrest event using the subject's biosignal; a defibrillator configured to determine and provide resuscitation care to the subject; When determining whether a subject has had a cardiac arrest event, the sensor is configured to output the sensor subject biosignal to the computing device; the computing device is configured to adapt a resuscitation strategy for the subject using the sensor subject vital signs and output the resuscitation strategy for the subject to the defibrillator; the defibrillator is configured to measure subject biometric data and use the subject biometric data and a resuscitation strategy for the subject to determine and provide resuscitation treatment for the subject; During resuscitation of the subject, the defibrillator is configured to repeatedly measure the subject biometric data and output the defibrillator subject biometric data to the computing device; the computing device is configured to repeatedly use the defibrillator subject biometric data to adapt a resuscitation strategy for the subject and output the resuscitation strategy for the subject to the defibrillator; The defibrillator is configured to iteratively use the measured subject biometric data and the subject's resuscitation strategy to adapt resuscitation efforts for the subject.

[0004] The resuscitation system determines the best resuscitation action to provide a tailored defibrillator resuscitation treatment to the subject using subject knowledge, including subject information such as health records received by a computing device, the subject's vital signs measured by sensors, and the subject's vital signs measured by a defibrillator.

[0005] The computing device may include at least one processor, at least one signal transceiver, at least one storage module, at least one display module, and at least one user interface. The computing device may include a smartphone, a tablet, or a laptop. The computing device may include resuscitation strategy software. The resuscitation strategy software may include a software application.

[0006] The resuscitation strategy software can create an account for the subject. The resuscitation strategy software can associate subject information with the account. The resuscitation strategy software can associate a resuscitation strategy for the subject with the account. The resuscitation strategy software can associate sensor subject biometric data with the account. The resuscitation strategy software can associate defibrillator subject biometric data with the account.

[0007] The resuscitation strategy software can include a resuscitation strategy software algorithm. The resuscitation strategy software algorithm can analyze the subject information and use the analyzed subject information to create a resuscitation strategy for the subject. The resuscitation strategy software algorithm can access a database of previously developed resuscitation strategies categorized by subject information and select the previously developed resuscitation strategy that best fits the analyzed subject information as the resuscitation strategy for the subject. The database of previously developed resuscitation strategies can be stored on the computing device or at a remote location accessed by the computing device. The resuscitation strategy for the subject can be output to the defibrillator as a set of software instructions.

[0008] The subject information may include any of subject health data, subject genetic data, subject lifestyle data, and subject demographic data. The subject health data may include any of the subject's medical history, the subject's heart disease, the subject's health condition, the subject's illness, and the subject's injury. The subject genetic data may include any of genetic test results, gene mutations associated with heart disease, and gene mutations associated with musculoskeletal disorders. The subject lifestyle data may include any of sleep data, mood data, stress level data, nutritional data, and activity data. The subject demographic data may include any of height, weight, gender, ethnicity, and location data.

[0009] The computing device can input subject information from either the subject, the subject's caregiver, or the subject's medical professional. The computing device can detect when the subject is at a medical facility and input subject information including updates to the subject's health data. The computing device can send a notification to the subject to determine if the subject wishes to input updates to their health data.

[0010] The computing device can receive the sensor subject biometric signals and issue notifications to the sensors requesting subject health data. The computing device can input subject health data, including subject well-being data, and send a signal to the sensors to return to monitoring the subject for a cardiac arrest event.

[0011] The computing device can treat receipt of the sensor subject bio-signal as an alarm of a cardiac arrest event in the subject and send a notification to emergency services alerting them to the subject's cardiac arrest event. Alternatively, upon detection of a cardiac arrest event in the subject, the sensor can be configured to output an alarm of the subject's cardiac arrest event and the sensor subject bio-signal to the computing device. The computing device can receive the alarm of the subject's cardiac arrest event and send a notification to emergency services alerting them to the subject's cardiac arrest event.

[0012] The computing device may be configured to transmit information about the subject to either emergency services or a medical facility, and the information about the subject may be transmitted in real time while the subject is being resuscitated.

[0013] The sensor may be in proximity to the subject to detect the subject's biosignal. The sensor may be a wearable sensor. The wearable sensor may be a wristwatch capable of detecting the biosignal. The wearable sensor may be a chest-based device capable of detecting the biosignal.

[0014] The sensor may continuously detect the subject's biological signal. The sensor may also periodically detect the subject's biological signal. The sensor may detect the subject's biological signal before a cardiac arrest event of the subject and output the previous subject's biological signal to a computing device. The subject's biological signal detected before the subject's cardiac arrest event may include a biological signal detected between the subject's cardiac arrest event and any of 2 hours, 1 hour, 45 minutes, 30 minutes, 15 minutes, 10 minutes, 5 minutes, or 3 minutes before the subject's cardiac arrest event.

[0015] The sensor may detect a biological signal of the subject, including any of the subject's heart rate signal, the subject's ECG signal, the subject's blood pressure signal, the subject's respiratory rate signal, the subject's blood oxygen saturation signal, the subject's regional blood oxygen saturation signal, a photoplethysmogram, the subject's activity data signal, the subject's posture signal, and the subject's position signal. The sensor may detect cessation of the subject's heart rate signal and use this to determine a cardiac asystole event in the subject. The sensor may detect arrhythmia in the subject's ECG signal and use this to determine a cardiac asystole event in the subject.

[0016] A resuscitation strategy software algorithm of the computing device can use the sensor subject vital signs to adapt a resuscitation strategy for the subject. The resuscitation strategy software algorithm can access a database of optimal subject vital signs, determine sensor subject vital signs that are suboptimal subject vital signs, and adapt aspects of the subject resuscitation strategy that correspond to the suboptimal subject vital signs.

[0017] Upon determining a cardiac arrest event in the subject, the sensor may be configured to repeatedly output the sensor subject biometric signal to a computing device, and the computing device may be configured to repeatedly use the sensor subject biometric signal to adapt a resuscitation strategy for the subject and output the subject resuscitation strategy to the defibrillator. The computing device may be configured to repeatedly use the sensor subject biometric signal and the defibrillator subject biometric data to adapt a resuscitation strategy for the subject and output the subject resuscitation strategy to the defibrillator.

[0018] The sensors can also measure subject information regarding changes in the subject's lifestyle and output the subject information to a computing device, which can use the subject information to adapt a resuscitation strategy for the subject. The changes in the subject's lifestyle can include changes in exercise habits, changes in sleep habits, or changes in nutritional status.

[0019] The defibrillator may measure the subject's biometric data, including any of the subject's heart rate biometric data, the subject's ECG biometric data, the subject's ICG biometric data, the subject's blood pressure biometric data, the subject's respiratory rate biometric data, the subject's blood oxygen saturation biometric data, the subject's cardiopulmonary resuscitation (CPR) chest compression biometric data, the type of cardiac arrest event, the subject's condition, the duration of the cardiac arrest event, the subject's response to resuscitation efforts, and the success of the resuscitation efforts.

[0020] The defibrillator may include a resuscitation algorithm that uses the subject's biometric data and the subject's resuscitation strategy to determine and provide resuscitation treatment for the subject. The subject resuscitation treatment may include a set of software instructions used by the defibrillator to modify one or more defibrillation shock waveform characteristics for the subject. The defibrillation shock waveform characteristics may include any of pulse duration, energy, voltage, slope, and interphase interval. The subject resuscitation treatment may further include a set of software instructions used by the defibrillator to modify feedback presented to a rescuer using the defibrillator to provide resuscitation for the subject. The feedback may include performing hands-only CPR, performing mouth-to-mouth CPR, adjusting CPR chest compression time, adjusting CPR chest compression rate, adjusting CPR chest compression depth, or adjusting CPR chest compression recoil. The feedback may include prompts to the rescuer, including audio prompts, visual prompts, tactile prompts, or other sensory prompts.

[0021] A resuscitation strategy software algorithm of the computing device can use the defibrillator subject biometric data to adapt a resuscitation strategy for the subject. The resuscitation strategy software algorithm can access a database of optimal subject biometric data, determine defibrillator subject biometric data that is suboptimal subject biometric data, and adapt aspects of the subject resuscitation strategy that correspond to the suboptimal subject biometric data.

[0022] The defibrillator can include a receiver configured to receive subject information from a rescuer. The subject information from the rescuer can include any of subject gender, subject ethnicity, subject height, and subject weight. The defibrillator can output the subject information to a computing device. The computing device can use the subject information to adapt a resuscitation strategy for the subject and output the resuscitation strategy for the subject to the defibrillator.

[0023] The resuscitation system may be deployed in the subject's home using a home defibrillator. The resuscitation system may be deployed outside the subject's home using a public defibrillator. The defibrillator may be an automated external defibrillator (AED). [Brief explanation of the drawings]

[0024] [Figure 1] FIG. 1 is a schematic diagram of a resuscitation system according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] An embodiment of the present invention will now be described, by way of example only, with reference to the accompanying drawing, which is a schematic diagram of a resuscitation system.

[0026] Referring to the drawings, a resuscitation system 1 for use in resuscitating a subject includes a computing device 3, a sensor 5, and a defibrillator 7. The computing device 3, the sensor 5, and the defibrillator 7 are connected to each other, preferably wirelessly, although it will be appreciated that a wired connection may be used in some circumstances.

[0027] In this embodiment, the computing device 3 comprises a smartphone comprising at least one processor, at least one signal transceiver, resuscitation strategy software in the form of a software application, at least one storage module, at least one display module, and at least one user interface.

[0028] Upon receipt of the resuscitation system 1, the resuscitation strategy software of the computing device 3 is used to create an account for the subject on the computing device 3. The sensors 5 and defibrillators are associated with the subject's account. When the computing device 3 receives subject information, it is associated with the subject's account. Also, when a resuscitation strategy is created for the subject, it is associated with the subject's account.

[0029] The computing device 3 receives subject information and uses the subject information to create a resuscitation strategy for the subject. The resuscitation strategy software includes a resuscitation strategy software algorithm that analyzes the subject information and uses the analyzed subject information to create a resuscitation strategy for the subject. The resuscitation strategy software algorithm accesses a database of previously developed resuscitation strategies categorized by subject information and selects the previously developed resuscitation strategy that best matches the analyzed subject information to be the resuscitation strategy for the subject. The database of previously developed resuscitation strategies may be stored on the computing device or at a remote location accessible by the computing device. The resuscitation strategy for the subject is output to the defibrillator as a set of software instructions.

[0030] The subject information input by the computing device 3 may include any of subject health data, subject genetic data, subject lifestyle data, and subject demographic data. The subject health data may include any of the subject's medical history, the subject's heart disease, the subject's health condition, the subject's illness, and the subject's injury. The subject genetic data may include any of genetic test results, gene mutations associated with heart disease, and gene mutations associated with musculoskeletal disorders. The subject lifestyle data may include any of sleep data, mood data, stress level data, nutritional data, and activity data. The subject demographic data may include any of height, weight, gender, ethnicity, and location data.

[0031] The subject information may be entered by the subject, the subject's caregiver, or the subject's medical professional via computing device 3. Computing device 3 may detect that the subject is at a medical facility and enter subject information including updates to the subject's health data. Computing device 3 may send a notification to the subject to determine if the subject wishes to enter updates to their health data.

[0032] In this embodiment, sensor 5 is a wearable sensor, such as a wristwatch or a chest-based sensor. Sensor 5 is configured to detect a subject's biosignal and use the subject's biosignal to monitor the subject for a cardiac arrest event. Sensor 5 can detect the subject's biosignal continuously or periodically. Sensor 5 can detect the subject's biosignal before the subject's cardiac arrest event. The subject's biosignal detected before the subject's cardiac arrest event can include a biosignal detected between the subject's cardiac arrest event and any of 2 hours, 1 hour, 45 minutes, 30 minutes, 15 minutes, 10 minutes, 5 minutes, or 3 minutes before the subject's cardiac arrest event.

[0033] The sensor 5 detects a subject's biosignal, including any one of a subject's heart rate signal, a subject's ECG signal, a subject's blood pressure signal, a subject's respiratory rate signal, a subject's blood oxygen saturation signal, a subject's activity data signal, a subject's posture signal, and a subject's position signal. The sensor 5 detects cessation of the subject's heart rate signal and uses this to determine a cardiac asystole event in the subject. The sensor 5 detects arrhythmia in the subject's ECG signal and uses this to determine a cardiac asystole event in the subject.

[0034] The sensor 5 is configured to output a sensor subject biosignal to the computing device 3 upon determining a cardiac asystole event in the subject. The subject biosignal may be a biosignal detected prior to the subject's cardiac asystole event.

[0035] Computing device 5 treats receipt of the sensor subject vital signs as a subject cardiac arrest event alarm and sends a notification to emergency services alerting them to the subject cardiac arrest event. Resuscitation strategy software on computing device 3 associates the sensor subject vital signs data with a subject account.

[0036] The computing device 3 is configured to use the sensor subject vital signs to adapt a resuscitation strategy for the subject and to output the subject resuscitation strategy to the defibrillator 7. A resuscitation strategy software algorithm on the computing device 3 uses the sensor subject vital signs to adapt a resuscitation strategy for the subject. The resuscitation strategy software algorithm accesses a database of optimal subject vital signs to determine a sensor subject vital sign that is a sub-optimal subject vital sign and adapts an aspect of the subject resuscitation strategy corresponding to the sub-optimal subject vital sign. For example, the resuscitation strategy software algorithm may determine that a sensor subject vital sign related to the subject's heart rate is sub-optimal and adapt an aspect of the subject resuscitation strategy related to the rate of CPR to provide to the subject.

[0037] In this embodiment, the defibrillator 7 is an AED and the resuscitation system 1 is deployed in the subject's home using a home AED.

[0038] The defibrillator 7 is configured to measure the subject's biometric data and determine and provide resuscitation treatment for the subject using the subject's biometric data and the resuscitation strategy for the subject received from the computing device 3. The defibrillator 7 measures the subject's biometric data, including any of the subject's heart rate biometric data, the subject's ECG biometric data, the subject's ICG biometric data, the subject's blood pressure biometric data, the subject's respiratory rate biometric data, the subject's blood oxygen saturation biometric data, and the subject's cardiopulmonary resuscitation (CPR) chest compression biometric data. The defibrillator 7 further measures the subject's biometric data, including any of the type of cardiac arrest event, the subject's condition, the duration of the cardiac arrest event, the subject's response to resuscitation treatment, and the success of the resuscitation treatment.

[0039] The defibrillator 7 includes a resuscitation algorithm that uses the subject's biometric data and the subject's resuscitation strategy to determine and deliver resuscitation treatment for the subject. The resuscitation treatment for the subject includes a set of software instructions used by the defibrillator to modify one or more defibrillation shock waveform characteristics for the subject. The defibrillation shock waveform characteristics may include pulse duration, energy, voltage, slope, or interphase interval. The resuscitation treatment for the subject further includes a set of software instructions used by the defibrillator to modify feedback presented to a rescuer using the defibrillator to deliver resuscitation treatment for the subject. The feedback may include performing hands-only CPR, performing mouth-to-mouth CPR, adjusting CPR chest compression duration, adjusting CPR chest compression rate, adjusting CPR chest compression depth, or adjusting CPR chest compression recoil. The feedback may include prompts to the rescuer, including audio, visual, tactile, or other sensory prompts.

[0040] During a resuscitation of a subject by the defibrillator 7, the defibrillator 7 is configured to repeatedly measure the subject's biometric data and output the defibrillator subject biometric data to the computing device 3. Resuscitation strategy software in the computing device 3 associates the defibrillator subject biometric data with a subject account. The computing device 3 is configured to repeatedly use the defibrillator subject biometric data to adapt a resuscitation strategy for the subject. A resuscitation strategy software algorithm in the software of the computing device 3 accesses a database of optimal subject biometric data, determines defibrillator subject biometric data that is suboptimal, and adapts aspects of the subject's resuscitation strategy corresponding to the suboptimal subject biometric data. For example, the resuscitation strategy software algorithm may determine that defibrillator subject biometric data associated with the subject's ECG is suboptimal and adapt an aspect of the subject's resuscitation strategy related to a slope characteristic of a defibrillation shock waveform delivered to the subject. Computing device 3 outputs a resuscitation strategy for the subject to defibrillator 7, which uses the measured biometric data of the subject and the resuscitation strategy to adapt resuscitation treatment for the subject. This process is repeated during resuscitation treatment for the subject; for example, the defibrillator may output defibrillation subject biometric data to computing device 3 every 5 seconds.

[0041] The defibrillator 7 may include a receiver (not shown) configured to receive subject information from a rescuer, such as subject gender, subject ethnicity, subject height, subject weight, etc. The defibrillator 7 outputs the subject information to the computing device 3, which may use the subject information to adapt a resuscitation strategy for the subject and output the resuscitation strategy for the subject to the defibrillator 7.

[0042] The computing device 3 is configured to transmit information about the subject to either emergency services or a medical facility in real time while the subject is being resuscitated.

Claims

1. 1. A resuscitation system for use in resuscitating a subject, comprising: a computing device configured to input subject information and use the subject information to initially create a resuscitation strategy for the subject, the resuscitation strategy being defined as a set of software instructions that determine at least one aspect of the resuscitation treatment to be provided to the subject, such as defibrillation shock waveform characteristics and / or feedback characteristics to a rescuer; a sensor configured to detect a subject's biosignal and monitor the subject for a cardiac arrest event using the subject's biosignal; a defibrillator configured to determine and provide resuscitation care to the subject; The resuscitation procedure is defined as including modifying defibrillation shock waveform characteristics, such as pulse duration, energy, voltage, slope, and interphase interval, according to aspects of the resuscitation strategy, and / or modifying feedback to the rescuer, such as administering hands-only CPR, administering mouth-to-mouth CPR, adjusting CPR chest compression time, adjusting CPR chest compression rate, adjusting CPR chest compression depth, or adjusting CPR chest compression recoil, Upon determination of a cardiac arrest event in the subject, the sensor is configured to output the subject's biosignal of the sensor to the computing device; the computing device is configured to use the subject vital signs of the sensor to further adapt aspects of the initially created subject resuscitation strategy and output the adapted subject resuscitation strategy to the defibrillator; the defibrillator is configured to measure subject biometric data and use the subject biometric data and the adapted subject resuscitation strategy to determine and provide initial resuscitation treatment for the subject; During resuscitation of the subject, the defibrillator is configured to repeatedly measure subject biometric data and output the defibrillator subject biometric data to the computing device; the computing device is configured to repeatedly use the defibrillator's subject biometric data to further adapt aspects of the subject's resuscitation strategy and output the most recent adapted subject resuscitation strategy to the defibrillator; The defibrillator is configured to repeatedly use measured subject biometric data and the most recently adapted subject resuscitation strategy to adapt resuscitation treatment for the subject.

2. 10. The resuscitation system of claim 1, The computing device includes a resuscitation strategy software algorithm that analyzes the subject information and uses the analyzed subject information to generate a resuscitation strategy for the subject.

3. 3. The resuscitation system of claim 2, The resuscitation system is characterized in that the resuscitation strategy software algorithm accesses a database of previously developed resuscitation strategies categorized by the subject information and selects as the subject's resuscitation strategy the previously developed resuscitation strategy that best matches the analyzed subject information.

4. 4. The resuscitation system according to claim 1, The resuscitation system, wherein the computing device comprises a resuscitation strategy software algorithm that uses the subject's vital signs from the sensors to adapt a resuscitation strategy for the subject.

5. 5. The resuscitation system of claim 4, The resuscitation system is characterized in that the resuscitation strategy software algorithm accesses a database of optimal subject vital signs, determines a subject vital sign from a sensor that is a suboptimal subject vital sign, and adapts an aspect of the resuscitation strategy for the subject that corresponds to the suboptimal subject vital sign.

6. 6. The resuscitation system according to any one of claims 1 to 5, The computing device includes a resuscitation strategy software algorithm that uses the subject's biometric data from the defibrillator to adapt a resuscitation strategy for the subject.

7. 7. The resuscitation system of claim 6, The resuscitation system is characterized in that the resuscitation strategy software algorithm accesses a database of optimal subject biometric data, determines defibrillator subject biometric data that is suboptimal subject biometric data, and adapts aspects of the resuscitation strategy for the subject that correspond to the suboptimal subject biometric data.

8. 8. The resuscitation system according to any one of claims 1 to 7, A resuscitation system, characterized in that the subject information includes any of the subject's health data, the subject's genetic data, the subject's lifestyle data, and the subject's demographic data.

9. 9. The resuscitation system according to any one of claims 1 to 8, The resuscitation system, wherein the sensor detects a subject's vital signs prior to a cardiac arrest event in the subject and outputs the previous subject vital signs to the computing device.

10. 10. The resuscitation system according to any one of claims 1 to 9, A resuscitation system characterized in that the sensor detects a subject's biological signal including any of a subject's heart rate signal, a subject's ECG signal, a subject's blood pressure signal, a subject's respiratory rate signal, a subject's blood oxygen saturation signal, a subject's activity data signal, a subject's posture signal, and a subject's position signal.

11. 11. The resuscitation system according to any one of claims 1 to 10, The resuscitation system is characterized in that the sensor further measures subject information regarding changes in the subject's lifestyle and outputs the subject information to the computing device, and the computing device uses the subject information to adapt a resuscitation strategy for the subject.

12. 12. The resuscitation system according to any one of claims 1 to 11, A resuscitation system characterized in that the defibrillator measures subject biometric data including any of the subject's heart rate biometric data, the subject's ECG biometric data, the subject's ICG biometric data, the subject's blood pressure biometric data, the subject's respiratory rate biometric data, the subject's blood oxygen saturation biometric data, the subject's cardiopulmonary resuscitation (CPR) chest compression biometric data, the type of cardiac arrest event, the subject's condition, the duration of the cardiac arrest event, the subject's response to resuscitation measures, and the success of the resuscitation measures.

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