| 摘要 |
A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system. |
| 主权项 |
1. A method for estimation of state of a biomedical system, comprising the steps of:
providing a cardiac stroke volume analyzer, said cardiac stroke volume analyzer comprising a system processor, said system processor comprising:
a probabilistic processor; anda dynamic state-space model; said cardiac stroke volume analyzer receiving discrete first cardiovascular input data, related to a first sub-system of the biomedical system, from a first blood pressure instrument; said cardiac stroke volume analyzer receiving discrete second cardiovascular input data, related to a second sub-system of the biomedical system, from a second electrocardiogram instrument; a system processor, of said cardiac stroke volume analyzer, fusing the first input data and the second input data into fused data, said system processor comprising:
said probabilistic processor converting the fused data into at least two probability distribution functions; andat least one probabilistic model, of said dynamic state-space model, operating on said at least two probability distribution functions, said system processor iteratively circulating at least two probability distribution functions in said dynamic state-space model in synchronization with receipt of at least one of:
updated first input data; andupdated second input data, said system processor processing the probability distribution functions to generate an output related to the state of the biomedical system, said output comprising a left ventricle stroke volume of a heart of a patient. |
