Active Noise Cancellation in Medical Devices

Abstract

Various embodiments of active noise cancellation of the present disclosure include measuring and / or monitoring an analog signal acquired for a medical procedure. Unacceptable noise in the analog signal is actively cancelled from the analog signal via constructing a noise cancellation signal having a magnitude equal to the magnitude of samples of the analog signal and a phase opposite to that of the samples of the analog signal, and injecting the constructed noise cancellation signal into the analog signal. The construction of a noise cancellation signal is a condition for classifying the analog signal as a standard analog signal or a non-standard analog signal for signal measurement and / or signal monitoring applications in support of a medical procedure.

Description

[Technical field]

[0001] The present disclosure relates generally to noise cancellation for analog signals monitored and / or measured by medical devices supporting medical procedures (e.g., diagnostic, therapeutic, surgical, interventional radiology, propaedeutic, and anesthesia). The present disclosure relates specifically to active noise cancellation for such analog signals. [Background technology]

[0002] Medical devices known in the art of this disclosure for monitoring and / or measuring analog signals supporting medical treatment include, but are not limited to, automated external defibrillators (AEDs), advanced life support (ALS) defibrillators, basic life support (BLS) defibrillators, and various patient monitors (e.g., electrocardiogram (ECG) monitors). In practice, analog signals monitored and / or measured by such medical devices may be subject to interference or impairment due to artifacts or other noise acting on the analog signals. Summary of the Invention [Problem to be solved by the invention]

[0003] Therefore, medical devices known in the art of this disclosure generally use passive noise filtering of the analog signal to remove all of the noise. However, the bandwidth of this passive noise filtering must be designed so as not to remove the analog signal, which results in some, if not all, of the noise passing through the passive noise filtering. [Means for solving the problem]

[0004] The present disclosure describes active noise cancellation applicable to numerous and varied medical procedures involving monitoring and / or measurement of analog signals (e.g., electrocardiograms and shock therapy). The active noise cancellation of the present disclosure is premised on classifying analog signals as standard analog signals or non-standard analog signals for monitoring and / or measurement to aid in the medical procedure.

[0005] For purposes of describing and claiming this disclosure, the term "standard analog signal" includes a signal that is a standard data input to a signal monitoring application and / or signal measurement application supporting the medical procedure, which standard data input provides reliable monitoring and / or measurements to support the medical procedure (e.g., noise-free or low noise ECG leads input to an ECG monitoring application provide a reliable display of the ECG, or noise-free or low noise ECG leads input to an ECG measurement application provide optimal conditional application of shock therapy).

[0006] For purposes of describing and claiming this disclosure, the term "nonstandard analog signal" includes a signal that is a non-standard data input to a signal monitoring application and / or signal measurement application of a signal supporting the medical procedure, which non-standard data input results in unreliable monitoring and / or measurement to support the medical procedure (e.g., noisy ECG leads input to an ECG monitoring application resulting in an unreliable display of the ECG, or noisy ECG leads input to an ECG measurement application resulting in suboptimal conditional application of shock therapy).

[0007] The present disclosure relates to (1) An active noise cancellation module for a medical device; (2) a medical device that implements an active noise cancellation module; and (3) Active noise cancellation method for medical devices It is embodied as.

[0008] Various embodiments of the present disclosure's active noise cancellation module for a medical device include a non-transitory machine-readable storage medium encoding instructions for execution by one or more processors. The non-transitory machine-readable storage medium includes: (1) Extracting signal information from samples of an analog signal; (2) classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the samples of the analog signal; (3) constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and (4) injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal. Includes instructions.

[0009] Various medical device embodiments of the present disclosure for assisting in medical procedures include a signal application module configured to monitor and / or measure an analog signal, and a noise cancellation module configured to: (1) extract signal information from a sample of the analog signal; (2) classify the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the sample of the analog signal; (3) construct a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and (4) inject the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

[0010] Various embodiments of the disclosed active noise cancellation methods for medical devices assisting in medical procedures include: (1) extracting signal information from a sample of an analog signal; (2) classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the sample of the analog signal; (3) constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and (4) injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

[0011] The above-mentioned and other embodiments of the present disclosure, as well as various features and advantages of the present disclosure, will become more apparent from the following detailed description of various embodiments of the present disclosure, read in conjunction with the accompanying drawings, which are merely illustrative of the present disclosure and are not intended to limit the scope of the present disclosure, which is defined by the appended claims and equivalents thereof. [Brief description of the drawings]

[0012] The present disclosure is set forth in detail in the following description of exemplary embodiments with reference to the following drawings. [Figure 1] FIG. 1 illustrates a first exemplary embodiment of active noise cancellation for a medical device assisting in a medical procedure according to the present disclosure. [Diagram 2] FIG. 2 illustrates a second exemplary embodiment of active noise cancellation for a medical device assisting in a medical procedure according to the present disclosure. [Diagram 3] FIG. 3 illustrates an exemplary embodiment of a flow chart depicting an active noise cancellation method for a medical device assisting a medical procedure according to the present disclosure. [Figure 4]FIG. 4 illustrates an exemplary embodiment of various components of a medical device for assisting in a medical procedure in accordance with the present disclosure. [Diagram 5] FIG. 5 illustrates a first exemplary embodiment of a medical device according to the present disclosure. [Figure 6] FIG. 6 illustrates a second exemplary embodiment of a medical device in accordance with the present disclosure. [Figure 7] FIG. 7 illustrates an exemplary embodiment of the active noise cancellation module of FIG. 4 according to the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] The disclosed active noise cancellation for medical devices supporting medical procedures is applicable to any type of medical procedure involving monitoring and / or measuring analog signals. Examples of such medical procedures include, but are not limited to, diagnostics (e.g., electrocardiograms and endoscopies), therapeutics (e.g., shock therapy and respiratory therapy), surgical procedures (e.g., biopsies and endoscopic procedures), imaging-guided therapy, data pre-collection, and anesthesia.

[0014] To facilitate understanding of the present disclosure, the following description of Figures 1 and 2 teaches an exemplary embodiment of active noise cancellation for a medical device assisting a medical procedure according to the present disclosure. From the description of Figures 1 and 2, a person skilled in the art of the present disclosure will understand how to apply the present disclosure to make and use additional embodiments of active noise cancellation for a medical device assisting a medical procedure according to the present disclosure.

[0015] Referring to FIG. 1, a first exemplary embodiment of the present disclosure's active noise cancellation 10a for a medical device assisting in a medical procedure includes a signal acquisition channel 20, a signal coupling channel 30a, a signal application channel 40a, and a noise cancellation channel 50a.

[0016] In an initial implementation of a signal acquisition phase 11a of the active noise cancellation 10a, the signal acquisition channel 20 acquires an analog signal 21 (e.g., an electrocardiogram (ECG) signal) related to the medical procedure and outputs the analog signal (AS) 21 to the signal combining channel 30a, which then splits the analog signal 21 into analog signals (AS) 31, as known in the art of this disclosure. In effect, the analog signal 31 is essentially the analog signal 21 with acceptable coupling losses.

[0017] The signal application channel 40a inputs the analog signal 31 to a signal monitoring and / or signal measurement application that supports a medical procedure (e.g., an ECG monitoring application for displaying the ECG or an ECG measurement application for conditionally applying shock therapy).

[0018] The noise cancellation channel 50a inputs an analog signal 31 to construct a noise cancellation signal (NC) 51 and classifies the analog signal 31 as a standard or non-standard analog signal for signal monitoring and / or signal measurement applications of the signal application channel 40a.

[0019] If the analog signal 31 is classified as a non-standard analog signal, in an initial implementation of the noise cancellation phase 12a of the active noise cancellation 10a, the noise cancellation channel 50a outputs a constructed noise cancellation signal 51 to the signal combining channel 30a, which injects the noise cancellation signal 51 into the analog signal 21 or analog signal 31 and converts the analog signal 31 into a standard analog signal (AS) 32 that is input to the signal application channel 40a for signal monitoring and / or signal measurement applications.

[0020] Subsequent implementations of the signal acquisition phase 11a and noise cancellation phase 12a include a signal application channel 40a processing the analog signal 31 when the noise cancellation channel 50a classifies the analog signal 31 as a standard analog signal, or processing the analog signal 32 when the noise cancellation channel 50a classifies the analog signal 31 as a non-standard analog signal.

[0021] In fact, the signal combining channel 30 a may be incorporated into the signal acquisition channel 20 .

[0022] Referring to FIG. 2, a second exemplary embodiment of the present disclosure's active noise cancellation 10b for a medical device assisting in a medical procedure includes a signal acquisition channel 20, a signal coupling channel 30b, a signal application channel 40b, and a noise cancellation channel 50b.

[0023] In an initial implementation of the signal acquisition phase 11b of the active noise cancellation 10b, the signal acquisition channel 20 acquires an analog signal 21 related to the medical procedure (e.g., an electrocardiogram (ECG) signal) and outputs the analog signal 21 to the signal combining channel 30b, which then splits the analog signal 21 into analog signals 31.

[0024] The signal application channel 40b inputs the analog signal 31 to a signal monitoring and / or signal measurement application that supports a medical procedure (e.g., an ECG monitoring application for displaying the ECG or an ECG measurement application for conditionally applying shock therapy).

[0025] The noise cancellation channel 50b inputs an analog signal 31 to construct a noise cancellation signal 51 and classifies the analog signal 31 as a standard or non-standard analog signal for signal monitoring and / or signal measurement applications of the signal application channel 40b.

[0026] Having classified the analog signal 31 as a non-standard analog signal, in an initial implementation of the noise cancellation phase 12b of the active noise cancellation 10b, the noise cancellation channel 50b outputs a noise cancellation signal 51 to the signal application channel 40b to inject the noise cancellation signal 51 into the analog signal 31 and convert the analog signal 31 into a standard analog signal 32 which is input to the signal application channel 40b as a standard analog signal for signal monitoring and / or signal measurement applications.

[0027] To ensure proper cancellation of noise in the analog signal 31 , the noise cancellation channel 50 b also outputs a synchronization signal 52 to facilitate synchronization of the analog signal 31 and the noise cancellation signal 51 .

[0028] Subsequent implementations of the signal acquisition phase 11b and noise cancellation phase 12b include the signal application channel 40b simply processing the analog signal 31 when the noise cancellation channel 50b classifies the analog signal 31 as a standard analog signal, or simply processing the analog signal 32 when the noise cancellation channel 50b classifies the analog signal 31 as a non-standard analog signal.

[0029] In fact, the signal combining channel 30 b may be incorporated into the signal acquisition channel 20 .

[0030] To facilitate a further understanding of the present disclosure, the following description of Fig. 3 teaches an exemplary embodiment of an active noise cancellation method implemented by noise cancellation channel 50a (Fig. 1) and noise cancellation channel 50b (Fig. 2) according to the present disclosure. From the description of Fig. 3, one skilled in the art of the present disclosure will understand how to apply the present disclosure to make and use additional embodiments of the active noise cancellation method according to the present disclosure.

[0031] 3, a flow chart 60 illustrates an embodiment of an active noise cancellation method of the present disclosure. A description of flow chart 60 is provided in the context of active noise cancellation 10a (FIG. 1) and active noise cancellation 10b (FIG. 2) described hereinabove.

[0032] 1-3, stage S62 of flowchart 60 involves noise cancellation channel 50 extracting signal information from samples of analog signal 31. Indeed, this signal information must facilitate classification of the analog signal as a standard analog signal or a non-standard analog signal by stage S64 of flowchart 60. In one embodiment of stage S62 known in the art, the information extracted from the samples of analog signal 31 includes time domain frequency information and magnitude information of the samples of analog signal 31.

[0033] Based on the extracted information of stage S62, stage S64 involves classifying the samples of analog signal 31 as standard analog signals or non-standard analog signals.

[0034] Again, for purposes of describing and claiming this disclosure, the term "standard analog signal" includes a signal that is a standard data input to a signal monitoring and / or signal measurement application supporting a medical procedure, which standard data input provides reliable monitoring and / or measurements to support a medical procedure (e.g., a noise-free or low noise ECG lead input to an ECG monitoring application provides a reliable display of the ECG, or a noise-free or low noise ECG lead input to an ECG measurement application provides optimal conditional application of shock therapy).

[0035] Further, for purposes of describing and claiming the present disclosure, the term "non-standard analog signal" includes signals that are non-standard data input to a signal monitoring application and / or signal measurement application of a signal supporting a medical procedure, which non-standard data input results in unreliable monitoring and / or measurement to support a medical procedure (e.g., a noisy ECG lead input to an ECG monitoring application results in an unreliable display of the ECG, or a noisy ECG lead input to an ECG measurement application results in suboptimal conditional application of shock therapy).

[0036] In one embodiment of stage S64 known in the art of the present disclosure, the time domain of the extracted frequency information is transformed into a frequency domain of samples of the analog signal 31, which is analyzed to determine whether the frequency domain of the samples of the analog signal 31 indicates that this analog signal should be classified as a standard analog signal or a non-standard analog signal. In practice, the transformed frequency domain of the samples of the analog signal 31 is compared with a frequency domain profile suitable for a signal monitoring application and / or signal measurement application of the signal application channel 40 in support of a medical procedure. Depending on the parameters of this comparison, the frequency domain of the samples of the analog signal 31 can be classified as a standard analog signal or a non-standard analog signal.

[0037] In one example ECG application, a standard ECG signal has a well-understood and structured signal pattern, where the frequency components of the standard ECG signal can be distinguished from the frequency components of a non-standard ECG signal.

[0038] Indeed, machine learning known in the technical field of the present disclosure is trained to distinguish between standard and non-standard analog signals based on frequency and / or magnitude information extracted from samples of analog signal 31.

[0039] 1-3, if during stage S64 the sample of analog signal 31 is classified as a standard analog signal, stage S66 of flowchart 60 proceeds to terminate flowchart 60.

[0040] Otherwise, if during stage S64 the analog signal 31 samples are classified as a non-standard analog signal, stage S66 proceeds to stage S68 of flowchart 60 which involves constructing noise cancellation signal 51. In one embodiment of stage S68, noise cancellation signal 51 is constructed to have a magnitude equal to the magnitude of the analog signal 31 samples and a phase opposite to that of the analog signal 31 samples.

[0041] Stage 70 of flowchart 60 involves injecting a noise cancellation signal 51 into the analog signal 21 input to the signal combining channel 30 or injecting a noise cancellation signal 51 into the analog signal 31 input to the signal application channel 50 .

[0042] In one embodiment of stage S70, any repetitiveness of the analog signal 31 is determined so that the noise cancellation signal 51 can be superimposed with the analog signal 21 or the analog signal 31 for proper time domain matching. In practice, the time domain matching for injecting the noise cancellation signal 51 into the analog signal 21 acquired from the signal acquisition channel 20 includes using the time domain of the analog signal 31 input to the noise cancellation channel 50. And in practice, the time domain matching for injecting the noise cancellation signal 51 into the analog signal 31 input to the signal application channel 40b includes using the time domain of the analog signal 31 input to the noise cancellation channel 50 to generate the synchronization signal 52.

[0043] Flowchart 60 ends upon injection of noise cancellation signal 51 according to stage S70, whereby noise cancellation signal 51 is continuously injected. Regardless of whether the initial execution or a previous execution of flow chart 60 classified a sample of analog signal 31 as a standard analog signal or a non-standard analog signal, flow chart 60 is periodically restarted whereby new samples of analog signal 31 are classified as standard analog signals or non-standard analog signals. Noise cancellation signal 51 is constructed and injected by stage S70 when a new sample of analog signal 31 is classified as a non-standard analog signal.

[0044] To facilitate a further understanding of the present disclosure, the following description of Figures 4-6 teaches exemplary embodiments of an active noise cancellation medical device according to the present disclosure. From the description of Figures 4-6, a person skilled in the art of the present disclosure will understand how to apply the present disclosure to make and use additional embodiments of an active noise cancellation medical device according to the present disclosure.

[0045] Referring to FIG. 4 , medical device components 60 for an active noise cancellation medical device of the present disclosure include X signal sources 22(X) implementing signal acquisition channels 20, a signal splitter / combiner 33 implementing a signal combining channel 30, a signal application module 41 implementing a signal application channel 40, and a noise cancellation module 53 implementing a noise cancellation channel 50.

[0046] Indeed, signal source 22(X) can be any type of sensor, imaging device, etc., as known in the art of the present disclosure, relevant to a medical procedure, including, but not limited to, ECG leads for direct ECG monitoring of a patient. Additionally, signal source 22(X) can be equipped with auxiliary equipment / devices, such as, for example, signal conditioners and passive noise filtering.

[0047] In fact, signal splitter / combiner 33 may be any type of splitter / combiner known in the art for splitting and combining analog signals.

[0048] In practice, the signal application module 41 includes electronic circuitry (e.g., electronic components and / or hardware) and / or executable programs (e.g., executable software stored on a non-transitory computer readable medium and / or firmware) for performing a particular application related to a medical procedure. Examples of the signal application module 41 include, but are not limited to, an ECG measurement module, an ECG monitoring module, and a conditional shock therapy module.

[0049] In practice, the signal application module 53 includes electronic circuitry (e.g., electronic components and / or hardware) and / or executable programs (e.g., executable software stored on a non-transitory computer-readable medium and / or firmware) for performing the active noise cancellation method of the present disclosure, such as, for example, flowchart 60 of FIG. 3.

[0050] In practice, the arrangement of the signal source 22(X), the signal splitter / combiner 32, the signal application module 41, and / or the noise cancellation module 53 may be disposed in a medical device to assist in a medical procedure. In one example, the signal splitter / combiner 32 may be incorporated into the signal source 22(X).

[0051] For example, FIG. 5 shows a medical device 70 incorporating an arrangement of a signal source 22(X), a signal splitter / combiner 33, a signal application module 41, and a noise cancellation module 53 to implement the active noise cancellation of the present disclosure to assist in a medical procedure.

[0052] As an example, FIG. 6 illustrates a medical device 71 incorporating a signal splitter / combiner 33, signal application module 41, and noise cancellation module 53 configuration for implementing the active noise cancellation of the present disclosure to assist in a medical procedure, whereby a signal source 22(X) communicates an analog signal to the signal splitter / combiner 33, either wired or wirelessly.

[0053] To facilitate a further understanding of the present disclosure, the following description of Fig. 7 teaches an exemplary embodiment of a noise cancellation module according to the present disclosure. From the description of Fig. 7, a person skilled in the art of the present disclosure will understand how to apply the present disclosure to make and use additional embodiments of the noise cancellation module according to the present disclosure.

[0054] Referring to FIG. 7, an exemplary embodiment 80 of the active noise cancellation module 53 is shown including one or more processors 81, memory 82, a user interface 83, a network interface 84, and a storage device 85 interconnected via one or more system buses 86.

[0055] Each processor 81 may be any hardware device, as known in the art or as contemplated below, capable of executing instructions or processing data stored in memory 82 or a storage device. In non-limiting examples, processor 81 may include a microprocessor, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or other similar device.

[0056] Memory 82 may include various memories as known in the art or contemplated below, including, but not limited to, an L1, L2, or L3 cache, or system memory. In non-limiting examples, memory 82 may include static RAM (SRAM), dynamic RAM (DRAM), flash memory, read-only memory (ROM), or other similar memory devices.

[0057] The user interface 83 may include one or more devices, as known in the art or as contemplated below, for enabling communication with a user, such as an administrator. In non-limiting examples, the user interface may include a command line interface (CLI) or a graphical user interface (GUI) that may be presented to a remote terminal via the network interface 84.

[0058] The network interface 84 may include one or more devices as known in the art or as contemplated below for enabling communication with other components of the medical device. In a non-limiting example, the network interface 84 may include a network interface card (NIC) configured to communicate according to an Ethernet protocol. Additionally, the network interface 84 may implement a TCP / IP stack for communicating according to a TCP / IP protocol. Various alternative or additional hardware or configurations for the network interface 84 will be apparent.

[0059] The storage device 85 may include one or more machine-readable storage media as known in the art or as contemplated below, including, but not limited to, a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium, an optical storage medium, a flash memory device, or a similar storage medium. In various non-limiting embodiments, the storage device 85 may store instructions for execution by the processor 81 or data used by the processor 81 to operate. For example, the storage device 85 may store a basic operating system for controlling various basic operations of the hardware.

[0060] The storage device 85 also stores application programs in the form of executable software / firmware for implementing various functions of the active noise cancellation module 53 (FIG. 4) as described above in this disclosure. In one exemplary embodiment as shown, the storage device 85 also stores application programs 87 including a signal information extraction subprogram 87a for implementing stage S62 of the flowchart 60 (FIG. 3), a signal type classification subprogram 87b for implementing stages S64 and S66 of the flowchart 60, a cancellation signal construction subprogram 87c for implementing stage S68 of the flowchart 60, and a cancellation signal injection subprogram 87d for implementing stage S70 of the flowchart 60.

[0061] 1-7, those skilled in the art of the present disclosure will appreciate the numerous benefits of the present disclosure, including, but not limited to, the active noise cancellation of the present disclosure, which overcomes the drawback that passive filtering allows some noise (within the bandwidth of the passive filter) to pass through so as not to remove the desired analog signal. More specifically, the active noise cancellation of the present disclosure further reduces the noise entering the signal application channel, allowing better resolution of the analog information for monitoring and / or measurement. In addition, the analog signal of the present disclosure may be processed as a digital signal at various stages of the active cancellation of the present disclosure.

[0062] Moreover, those skilled in the art will appreciate, in light of the teachings provided herein, that the structures, elements, components, etc. described in this disclosure / specification and / or shown in the figures may be implemented in various combinations of hardware and software, and that combined functionality may be provided in a single element or multiple elements. For example, the functionality of the various structures, elements, components, etc. shown / illustrated / illustrated in the figures may be provided using dedicated hardware and hardware capable of executing software in association with appropriate software for added functionality. When provided by a processor, the functionality may be provided by a single dedicated processor, a single shared processor, or multiple individual processors, some of which are shared and / or multiplexed. Furthermore, express use of the terms "processor" or "controller" should not be construed to refer solely to hardware capable of executing software, but can implicitly include, without limitation, digital signal processor ("DSP") hardware, memory (e.g., read only memory ("ROM"), random access memory ("RAM"), non-volatile storage, etc. for storing software), and virtually any means and / or mechanism (e.g., including hardware, software, firmware, combinations thereof) capable of (and / or configurable to) perform and / or control processing.

[0063] Moreover, all statements herein reciting principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. In addition, such equivalents are intended to encompass both currently known equivalents and equivalents developed in the future (e.g., any elements developed that can perform the same or substantially similar functions, regardless of structure). Thus, for example, those skilled in the art will appreciate that, in light of the teachings provided herein, any block diagrams presented herein represent conceptual views of illustrative system components and / or circuitry embodying the principles of the invention. Similarly, those skilled in the art will appreciate that, in light of the teachings provided herein, any flow charts, flow diagrams, and the like, may be substantially represented on a computer-readable storage medium and represent various processes performed by such a computer, processor, or other device having processing capabilities, whether or not a computer or processor is explicitly depicted.

[0064] While preferred and exemplary embodiments of the various and numerous inventions of the present disclosure have been described (which embodiments are intended to be illustrative and not limiting), it should be noted that modifications and variations can be made by those skilled in the art in view of the teachings provided herein, including the drawings. Thus, it should be understood that changes can be made in / to the preferred and exemplary embodiments of the present disclosure that are within the scope of the embodiments disclosed herein.

[0065] Additionally, corresponding and / or related systems incorporating and / or implementing said devices / systems or used / implemented in / with devices according to the present disclosure are also contemplated and considered within the scope of the present disclosure. Additionally, corresponding and / or related methods for making and / or using devices and / or systems according to the present disclosure are also contemplated and considered within the scope of the present disclosure.

Claims

1. a signal application module configured to at least one of monitor and measure an analog signal supporting the medical procedure; and a noise cancellation module for canceling noise in said analog signal; 1. An active noise cancellation medical device having: extracting signal information from samples of said analog signal; classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the samples of the analog signal; constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

1. An active noise cancellation medical device configured to:

2. The noise cancellation module includes a non-transitory machine-readable storage medium encoded with instructions for execution by at least one processor, the non-transitory machine-readable storage medium comprising: extracting signal information from samples of said analog signal; classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the samples of the analog signal; constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

10. The active noise cancellation medical device of claim 1, comprising instructions for:

3. 10. The active noise cancellation medical device of claim 1, wherein the noise cancellation module is configured to extract at least one of frequency information and magnitude information from the samples of the analog signal.

4. 10. The active noise cancellation medical device of claim 1, wherein the noise cancellation module is configured to perform machine learning trained on the signal information to classify the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from samples of the analog signal.

5. 2. The active noise cancellation medical device of claim 1, wherein the noise cancellation module is configured to perform time domain matching to synchronize injection of the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

6. 10. The active noise cancellation medical device of claim 1, further comprising a signal splitter / combiner configured to communicate the analog signal to the signal application module and the noise cancellation module.

7. 7. The active noise cancellation medical device of claim 6, further comprising at least one signal source configured to communicate said analog signal to said signal splitter / combiner.

8. 1. A noise cancellation module having a non-transitory machine-readable storage medium encoded with instructions for execution by at least one processor, the non-transitory machine-readable storage medium comprising: extracting signal information from samples of said analog signal; classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the samples of the analog signal; constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and Injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal and converting the analog signal to a standard analog signal. a noise cancellation module including instructions for:

9. 9. The noise cancellation module of claim 8, wherein the signal information is at least one of frequency information and magnitude information extracted from samples of the analog signal.

10. 9. The noise cancellation module of claim 8, wherein machine learning trained on the signal information classifies the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from samples of the analog signal.

11. 9. The noise cancellation module of claim 8, wherein time-domain matching is the basis for synchronizing the injection of the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

12. 1. An active noise cancellation method for canceling noise in an analog signal supporting a medical procedure, the active noise cancellation method comprising: extracting signal information from samples of said analog signal; classifying the analog signal as a standard analog signal or a non-standard analog signal based on the signal information extracted from the samples of the analog signal; constructing a noise cancellation signal having a magnitude equal to a magnitude of the sample of the analog signal and a phase opposite to a phase of the sample of the analog signal when the sample of the analog signal is classified as a non-standard analog signal; and injecting the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

1. An active noise cancellation method comprising:

13. 13. The active noise cancellation method of claim 12, wherein the signal information is at least one of frequency information and magnitude information extracted from samples of the analog signal.

14. 13. The active noise cancellation method of claim 12, wherein machine learning trained on the signal information classifies the analog signal as a standard analog signal or a non-standard analog signal based on signal information extracted from samples of the analog signal.

15. 13. The active noise cancellation method of claim 12, wherein time-domain matching is the basis for synchronizing the injection of the constructed noise cancellation signal into the analog signal to cancel noise in the analog signal.

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