STATE MACHINE INTERFACE SYSTEM

• US 20100030094A1
• Filed: 05/28/2007
• Published: 02/04/2010
• Est. Priority Date: 06/02/2006
• Status: Active Grant

• Current Assignee: Gripping Heart AB
• Original Assignee: Gripping Heart AB
• Inventors: Lundback, Stig
• Granted Patent: US 8,560,057 B2
• Time in Patent Office: Days
• US Class Current: 600/523
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

State machine interface system, heart state machine analyzer and/or stimulator, comprising state machine algorithms and a graphical user interface, adapted to receive signals from a sensor device that are related to physiological activities of the heart and/or the circulatory system of a living being and the state machine algorithms determine states of heart cycles based upon the signals. The determined heart cycle states are graphically presented at the graphical user interface such that the temporal relation between the different states are illustrated. The graphical user interface may be circular diagrams or bar graphs including parts representing the temporal relation between the different states.

Claims

1. State machine interface system, comprising state machine algorithms and a graphical user interface, adapted to receive signals from a sensor device, that are related to physiological activities of the heart and/or the circulatory system of a living being and said state machine algorithms determine states of heart cycles based upon said signals, wherein said different states of the heart cycle are determined by said state machine algorithms in a heart cluster state machine simulating the heart, and optionally the circulatory system, achieved by fusions of finite heart muscle cell state machines to form a Δ

V-pump state machine, characterized in that said determined heart cycle states being graphically presented at the graphical user interface such that the temporal relation between the different states are illustrated.

2. State machine interface system according to claim 1, wherein the heart cycle states are graphically presented as one or several overlapping circle diagrams, or rings, presenting different activities of the heart and circulatory system at one to several locations, arranged as state diagrams, where the states are represented as circle segments with lengths depending on the duration of the respective state.

3. State machine interface system according to claim 2, wherein activates are represented by three or more rings, one ring represents the state diagram from the left ventricle, and another ring represents a state diagram from the right ventricle and a third ring in between them represents a state diagram of the activities of ventricular septum.

4. State machine interface system according to claim 1, wherein the heart cycle states are graphically presented in one or many bar graphs divided into parts, each representing the different states, and that the size of each part depends upon the duration of the respective state.

5. State machine interface system according to claim 4, wherein one bar graph represents states of the right heart half and another bar graph represents the states of the left heart half.

6. State machine interface system according to claim 5, wherein one bar graph represents states of the right heart half and another bar graph represents the states of the left heart half and a third bar represent a state diagram of the activities of interventricular septum.

7. State machine interface system according to claim 1, wherein each presented heart cycle state have a predetermined colour, and/or pattern, in order to clearly distinguish the states from each other.

8. State machine interface system according to claim 1, wherein each presented heart cycle state have a predetermined colour, and/or pattern, coding and/or percentage scoring in order to clearly distinguish and quantify the states from each other

9. State machine interface system according to claim 1, wherein auxiliary input signals can be related to each heart cycle state and be displayed as a user-specific state diagram.

10. State machine interface system according to claim 1, wherein the displayed information is continuously updated in real-time.

11. State machine interface system according to claim 1, wherein the system is adapted to communicate to individual, local and global databases, via wire or wirelessly, with a remote unit, e.g. a presentation unit.

12. Heart state machine analyzer and/or simulator including a state machine interface system according to claim 1, wherein the interface system further includes input means (2) for receiving signals being transformed to time related trigging points (4), and for applying said trigging points to a processing means (6) that is adapted to determine, by using said heart state machine analyzer algorithms, a relational database system, enabling graphical representations in two or three dimensions, to be stored in a storing means, being such that it both satisfies the working regimen of the heart muscle cell state machine and the working regimen of the Δ

V-pump state machine of said heart cluster state machine.

13. Heart state machine analyzer and/or simulator according to claim 12, wherein said processing means is adapted to calculate volumes in order to analyse volume variations by using said determined relational database system.

14. Heart state machine analyzer and/or simulator according to claim 12, wherein said processing means is adapted to communicate information using the database system in order to determine a therapeutic treatment, e.g. training, surgery or pharmaceutical treatments.

15. Heart state machine analyzer and/or simulator according to claim 12, wherein said input means are receiving single or mixed imaging and other data of the heart obtained by ultrasound, magnetic resonance, x-ray, gamma radiation or other data of the heart and physiological activities measured by pulse plethysmography, pulse and/or flow measurements, pressure and/or volume changes over time in order to improve and validate data.

16. Heart state machine analyzer and/or simulator according to claim 13, wherein said processing means is adapted to communicate information using the database system in order to determine a therapeutic treatment, e.g. training, surgery or pharmaceutical treatments.

17. Heart state machine analyzer and/or simulator according to claim 13, wherein said input means are receiving single or mixed imaging and other data of the heart obtained by ultrasound, magnetic resonance, x-ray, gamma radiation or other data of the heart and physiological activities measured by pulse plethysmography, pulse and/or flow measurements, pressure and/or volume changes over time in order to improve and validate data.

18. Heart state machine analyzer and/or simulator according to claim 14, wherein said input means are receiving single or mixed imaging and other data of the heart obtained by ultrasound, magnetic resonance, x-ray, gamma radiation or other data of the heart and physiological activities measured by pulse plethysmography, pulse and/or flow measurements, pressure and/or volume changes over time in order to improve and validate data.

19. Heart state machine analyzer and/or simulator according to claim 16, wherein said input means are receiving single or mixed imaging and other data of the heart obtained by ultrasound, magnetic resonance, x-ray, gamma radiation or other data of the heart and physiological activities measured by pulse plethysmography, pulse and/or flow measurements, pressure and/or volume changes over time in order to improve and validate data.