1. A device for compressing a chest of a patient, said device comprising:
an automated device for performing chest compressions on a patient;
a means for performing defibrillation operably connected to the automated device for performing chest compressions;
a means for sensing the ECG signal of the patient, said
means for sensing the ECG signal capable of producing a measured ECG signal corresponding to the measured value of the ECG signal of the patient, wherein the ECG signal comprises an actual component and a noise component;
a compression sensor operably connected to the automated device for performing chest compressions, said compression sensor capable of producing a compression signal corresponding to the presence of a chest compression;
a processor operably connected to the compression sensor and to the means for sensing the ECG signal, said processor capable of producing an estimated actual ECG signal corresponding to the estimated actual ECG signal of the patient and capable of performing defibrillation shocks to the patient using the means for defibrillation without stopping chest compressions being performed by the automated device for performing chest compressions; wherein the compression sensor comprises a load sensor disposed beneath the patient which senses a load when compressions begin.
2. The device of claim 1 wherein the compression sensor comprises a means for measuring the displacement of a compression belt.
3. The device of claim 2 wherein the means for measuring the displacement of a compression belt comprises an encoder.
4. The device of claim 3 wherein the encoder comprises a rotary encoder.
5. The device of claim 3 wherein the encoder comprises an optical encoder.
6. The device of claim 1 wherein the compression sensor comprises an accelerometer.
7. The device of claim 1 wherein defibrillation shocks are performed on the patient by the means for defibrillation based on the estimated actual ECG signal.
8. The device of claim 7 wherein a voltage level of the defibrillation shocks is based on the estimated actual ECG signal.
9. The device of claim 1 further comprising a display operably connected to the processor wherein the display is capable of displaying the estimated actual ECG signal.
10. The device of claim 1 further comprising a means for user feedback operably connected to the processor, wherein the means for user feedback is capable of providing feedback that indicates whether the patient requires defibrillation.
11. The device of claim 1 wherein the a processor is programmed to estimate a value of the patient’s transthoracic impedance and use the value of the patient’s transthoracic impedance to determine an amount of energy used to shock the patient with the defibrillator.
12. A method of performing CPR on a patient, wherein the method comprises the steps of:
providing a CPR device comprising an automated device for performing chest compressions on a patient and a means for performing defibrillation;
wherein the device is capable of measuring an ECG signal of the patient during compressions, said ECG signal comprising a noise component and an actual component and of producing;
wherein the device is further capable of determining an estimated actual ECG signal during the chest compression of the patient;
performing chest compressions on the patient with the automated CPR device;
producing the estimated actual ECG signal during the chest compressing; and
applying a defibrillation shock to the patient during the chest compression based on the estimated actual ECG signal;
providing a load sensor disposed beneath the patient which is capable of identifying the start of a compression;
identifying the start of a compression with the load sensor; and
calculating estimated actual depth of compressions when the start of a compression has been identified.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for determining a number of transfer objects which move from a first sub-region of an observed region into a second sub-region of the observed region, comprising
recording, using at least one sensor arrangement, a sequence of images of the observed region, and using a computation unit connected to the at least one sensor arrangement and programmed to conduct the steps of identifying objects in the images, determining positions of the objects,
associating each of the objects, in accordance with their positions, either to the first sub-region or the second sub-region, associating a track with each of the objects, wherein the track is determined from positions of the object in the sequence of images, wherein the track has a starting position located either in the first sub-region or in the second sub-region,
associating a memory state with each of the objects on the basis of its track wherein, with a given starting position of the track, the memory state is dependent on whether the respective object is associated with the first sub-region or the second sub-region, wherein the memory state is a number that, when the respective object transfers between the first sub-region and the second sub-region, is incremented by a first value, wherein a first memory state is present if the number is an odd multiple of the first value, and wherein a second memory state is present if the number is an even multiple of the first value, and
taking into account multiple transfers of the same object between the first sub-region and the second sub-region when determining the number of transfer objects.
2. The method according to claim 1, wherein identifying the objects in the images in each case comprises a segmentation of the images.
3. The method according to claim 1, wherein the determination of the number of transfer objects comprises updating the number of transfer objects once the objects have transferred between the first sub-region and the second sub-region, and wherein the update is performed in accordance with the memory state of the respective object and in accordance with a direction of the transfer of the respective object.
4. The method according to claim 1, wherein the memory state is the first memory state when the starting position of the track of the respective object and the current position of the respective object are each located in different sub-regions, and in that the memory state is the second memory state when the starting position of the respective object and the current position of the respective object are located in the same sub-region.
5. The method according to claim 3, wherein the updating process comprises the fact that the number of transfer objects is incremented by a second value when the respective object transfers from the first sub-region into the second sub-region and the memory state of the respective object is the first memory state, and in that the number of transfer objects is decremented by the second value when the respective object transfers from the second sub-region into the first sub-region and the memory state of the respective object is the second memory state.
6. The method according to claim 4, wherein an object which passes at least once from the first sub-region into the second sub-region or which passes at least once from the second sub-region into the first sub-region is marked as an entrant or as a leaver, wherein the object
is marked as an entrant if its starting position is located in the first sub-region,
is marked as a leaver if its starting position is located in the second sub-region, and
is marked as an entrant and as a leaver if the memory state of the object is the second memory state.
7. A system for determining a number of transfer objects which move from a first sub-region of an observed region into a second sub-region of the observed region, said system comprising at least one sensor arrangement and a computation unit connected to the sensor arrangement, wherein the sensor arrangement is designed to record a sequence of images of the observed region, and wherein the computation unit is programmed to identify objects in the images and to determine positions of the objects, to associate each of the objects, in accordance with their positions either with the first sub-region or with the second sub-region, to associate a track with each of the objects, wherein the track is determined from positions of the object in the sequence of images, wherein the track has a starting position located either in the first sub-region or in the second sub-region, to associate a memory state with each of the objects on the basis of its track wherein, with a given starting position of the track, the memory state is dependent on whether the respective object is associated with the first sub-region or the second sub-region, wherein the memory state is a number that, when the respective object transfers between the first sub-region and the second sub-region, is incremented by a first value, wherein a first memory state is present if the number is an odd multiple of the first value, and wherein a second memory state is present if the number is an even multiple of the first value, and to take into account multiple transfers of the same object between the first sub-region and the second sub-region when determining the number of transfer objects.
8. The system according to claim 7, wherein the sensor arrangement comprises an optical sensor selected from the group consisting of a photo camera, a CCD camera, a stereo camera, a video camera, a streak camera and a time-of flight camera.