DEVICE FOR ASSESSING AND PROVIDING QUALITY FEEDBACK IN THORACIC COMPRESSIONS DURING CARDIOPULMONARY RESUSCITATION

Abstract

The present invention describes a device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation, which allows for an optimal assessment of the quality of the thoracic compressions made during cardiopulmonary resuscitation, which provides feedback on the position of said compressions. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation, by means of the elements thereof together with essential technical features thereof, such as an infrared sensor, a microprocessor, logic means, a graphic interface and remote connectivity means, makes it possible to estimate the depth and frequency parameters of the thoracic compressions, in order to determine whether they are adequate during a cardiopulmonary resuscitation procedure.

Claims

1. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1) characterizes because it has at least one infrared sensor (2), a microprocessor (3), logical means (4), a graphic interface (5), and remote connection means (6).

2. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claim 1 above, characterizes because the infrared sensor (2) is a proximity sensor that includes a non-linear photosensitive film (2.1), it also includes one or more LEDs (2.2) and lenses (2.3).

3. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claim 1 above, characterizes because the microprocessor (3) can have any configuration for this type of element, and also houses the logical means (4) and an A/D converter (3.1).

4. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claim 1 above, characterizes because the graphic interface (5) has a color touch screen (5.1).

5. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claim 1 above, characterizes because the remote connectivity means (6) are personal wireless network-based.

6. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claims 1 and 2 above, characterizes because the infrared sensor (2) is located directly above the patient's chest. This infrared sensor (2) by means of an infrared LED (2.2) throws a beam of infrared light that passes through a lens (2.3) projecting on the hand of who is performing the thoracic compressions. Once the beam of infrared light is reflected in a non-specular way on the hand of the resuscitator, the beam of infrared light is reflected and projected again, which passes through the lens (2.3) toward the infrared sensor (2), where this sensor (2) emits an analogous voltage corresponding to the distance of the hand. The voltage information generated by the sensor (2) is transmitted to a microprocessor (3).

7. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claims 1, 3 and 6 above, characterizes because the microprocessor (3) that houses an A/D performs a minimum sampling of one (1) distance measurement at a frequency of at least 5 Hz. This A/D converter (3.1) receives the analog voltage signal and transforms it into a digital signal.

8. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claims 1 and 4 above, characterizes because the graphic interface (5) presents the information synthesized by the logical means (4) and provides feedback about the quality of compressions.

9. The device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), according to claims 1, and 4 above, characterizes because the remote connectivity means (6) send the information to an associated mobile application.

Description

CALIBRATION AND MEASUREMENT TEST WITH THE DEVICE (1)

[0017] In order to calculate the calibration distance by the triangulation method, a test was carried out with the device (1) using its infrared sensor (2), to linearize its voltaic response at distances between 10 cm and 60 cm (see FIG. 1). This allows maximizing the spatial resolution of the analysis distances used during cardiopulmonary resuscitation.

[0018] The infrared sensor (2) was pointed towards the back of the resuscitator's hand when it is placed over the cardiac massage site. The infrared LED light (2.2) implemented in the sensor was used (2) to show the place in the hand of the resuscitator where the calibration will be performed, and subsequently, the depth measurements.

[0019] During calibration, the beam or infrared light beam emitted by the sensor (2) reaches the hand of the resuscitator and is reflected in a non-specular way toward a non-linear photosensitive film (2.1) of the infrared sensor (2) coupled to the microprocessor (3). The sensor (2) emits an analogous voltage corresponding to the distance of the object and establishes the calibration distance (CD), which is defined as the zero or minimum travel point.

[0020] After the calibration distance (CD) was obtained, cardiac compressions were started. The infrared sensor (2) emitted then rays or beams of infrared light in a continuous way on the hand of the resuscitator, calculating the distances. The analog voltage information was digitized by the A/D converter (3.1), and later analyzed by the logical means (4), thus allowing to provide feedback. Finally, the data and the feedback were exported to the graphic interface (5), allowing to conduct a successful simulated resuscitation.

VALIDATION OF THE DEVICE (1)

[0021] Once the device has been calibrated (1) and for its clinical validation, a test will be performed on FDA-approved mannequins (adults, children and newborns) that report the depth; and additionally, there will be a laser distance meter that will report distances and compression frequency. The total number of tests will be at least 120 per mannequin and distance meter.

[0022] Based on the above, this will allow us to evaluate and compare our device (1) with the reports provided by the mannequin and the distance meter. Subsequently, the Pearson correlation analysis will be performed between the measurements reported by the device (1) and those provided by the mannequin and the distance meter.

[0023] Conformance evaluations will also be conducted using the Bland-Altman test. In addition, a concordance test will be implemented by calculating the Kappa statistic to evaluate the concordances with adequate or unsuitable compressions marked by the mannequin.

[0024] A value greater than 0.9 with p0.05 will be taken as the appropriate kappa. This validation can demonstrate the efficacy of the device (1) in relation to AHA recommendations.

BRIEF DESCRIPTION OF THE FIGURES

[0025] FIG. 1 shows a front view of the infrared sensor (2) of the device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), showing all its constructive technical characteristics and its respective assembly. Also, FIG. 1 shows the triangulation method for the calculation of the distances implemented in the calibration and measurement of the depth during each compressive cycle, which has an infrared LED (2.2), lenses (2.3), a scattered reflection (3), a distant object (4), a near object (5), a non-linear, position photosensitive film (2.1).

[0026] FIG. 2 shows a frontal orthogonal view of the device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1) where the infrared sensor (2) placed on a fixed support is observed, and it shows the patient lying on his back, and it is shown that said infrared sensor (2) is located above the patient's chest.

[0027] FIG. 3 shows a schematic drawing of the device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1) showing its elements such as the infrared sensor (2), the microprocessor (3), the logical means (4), the graphic interface (5) with its touch screen (5.1) and the remote connection means (6).

[0028] FIG. 4 shows a top orthogonal view of the device for assessing and providing quality feedback on thoracic compressions during cardiopulmonary resuscitation (1), which shows that this device (1) together with its graphic interface (5) and its touch screen (5.1) that report the depth and frequency of compression. Additionally, it shows an icon to choose the type of resuscitation to be performed (adult, child, newborn), and finally shows the elapsed time during resuscitation.

[0029] FIG. 5 shows a top orthogonal view of a mobile device. It is also observed that the device (1) operates on said mobile device with the same information in real time provided on the graphic interface (5) of the device (1).