Patent Grant
11882402
This invention relates generally to a digital stethoscope, and more particularly to systems and methods for detecting and processing digital audio signals using a digital stethoscope.
Traditional stethoscopes are acoustic medical devices used for listening to internal sounds within the body. A medical professional can use a traditional acoustic stethoscope to amplify the sounds made by the heart, lungs, or other body parts. A trained professional can detect abnormalities or problems within the body based on these sounds, and significant data exists regarding what types of sounds indicate abnormalities, such as heart murmurs.
A digital stethoscope, as well as a digital stethoscope system and methods for operating a digital stethoscope are disclosed herein. In an exemplary embodiment, the present disclosure relates to a digital stethoscope including a stethoscope housing defining a housing edge; a surface region secured to the stethoscope housing at the housing edge and capable of being held against the body; microphones; and a processing device disposed within the stethoscope housing and in communication with the microphones to receive digital audio data received by the microphones. In one embodiment, the microphones are disposed symmetrically about the surface region. In one embodiment, the microphones are disposed on an external surface of the surface region. In one embodiment, the microphones are disposed on an internal surface of the surface region. In one embodiment, the digital stethoscope includes an air tube with a coupler to releasably couple with a portion of the stethoscope housing. In one embodiment, the digital stethoscope also functions as an analog stethoscope when the air tube is coupled to the stethoscope housing. In one embodiment, the microphones are micro electro-mechanical system (MEMS) microphones. In one embodiment, the digital stethoscope also includes a communication device within the stethoscope housing and in communication with the processing device to transmit data corresponding to the digital audio data received by the plurality of microphones.
According to another aspect, the present disclosure relates to a digital stethoscope system. The system includes a housing defining a housing edge; a surface region secured to the stethoscope housing at the housing edge and capable of being held against the body; microphones disposed symmetrically on the surface region; and an air tube coupled with a portion of the stethoscope housing at a first end, and terminating in a headset at a second end. The system also includes a processing device in communication with the plurality of microphones to receive digital audio data received by the plurality of microphones. The system also includes a communication device in communication with the processing device; a portable electronic device in communication with the communication device to receive data from the processing device; and a visual display of the portable electronic device. In one embodiment, the processing device determines a location of the housing with respect to an audio source, and the visual display presents a visual representation of the housing with respect to the audio source. In one embodiment, the processing device classifies the digital audio data received by the plurality of microphones. In one embodiment, the processing device is in communication with an artificial intelligence (AI) engine and a database of digital audio data, and the processing device utilizes the AI engine and the database of digital audio data to classify the digital audio data received by the plurality of microphones. In one embodiment, the processing device classifies the digital audio data received by the microphones as coming from a human heart, a lung, a joint, or other human portion. In one embodiment, the processing device classifies the digital audio data received by the microphones as healthy or unhealthy.
According to another aspect, the present disclosure relates to a method of detecting digital audio signals using a digital stethoscope. The method includes receiving audio signals by microphones disposed symmetrically on a surface region of a digital stethoscope, and transmitting digital audio data to a processing device from the microphones. The digital audio data represents the audio signals. The method also includes analyzing the digital audio data using the processing device and generating audio classification data associated with the digital audio data; and generating a database including the digital audio data and the audio classification data. In one embodiment, the processing device is located along an air tube of the digital stethoscope. In one embodiment, the processing device is in communication with an artificial intelligence (AI) engine and a database of digital audio data, and the processing device utilizes the AI engine and the database of digital audio data to classify the digital audio data received by the plurality of microphones. In one embodiment, the processing device classifies the digital audio data received by the microphones as coming from a human heart, a lung, a joint, or other human portion. In one embodiment, the processing device classifies the digital audio data received by the microphones as healthy or unhealthy. In one embodiment, the method also includes: determining a location of the digital stethoscope with respect to an audio source; determining an optimal location of the digital stethoscope with respect to the audio source; and if the digital stethoscope is not in the optimal location, communicating with a portable display device to cause a display of the portable display device to display instructions for moving the digital stethoscope toward the optimal location.
According to another aspect, the present disclosure relates to a digital stethoscope that includes a stethoscope housing defining a housing edge, a surface region secured to the stethoscope housing at the housing edge and capable of being held against the body, a number of microphones disposed on the surface region, and a processing device located within the stethoscope housing and in communication with the microphones to receive digital audio data from the microphones.
According to another aspect, the present disclosure relates to a digital stethoscope that includes a stethoscope housing defining a housing edge, a surface region secured to the stethoscope housing at the housing edge; a number of microphones; and a processing device within the stethoscope housing and in communication with the microphones to receive digital audio data from the microphones.
The present invention is illustrated by way of example and not limitation in the figures of the accompanying drawings in which like references indicate similar elements.
A digital stethoscope and a method of operating a digital stethoscope to detect digital audio signals is disclosed. In the following description, numerous specific details are set forth to provide thorough explanation of embodiments of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the present invention may be practiced without some or all of these specific details. In other instances, well-known components, structures, and techniques have not been shown or described in detail in order not to obscure the understanding of this description.
Reference in the specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification do not necessarily all refer to the same embodiment.
The methods depicted in the figures and described in the following description, may be performed by processing logic that comprises hardware (e.g., circuitry, dedicated logic, etc.), software (such as is run on a general-purpose computer system or a dedicated machine), or a combination of both. Although the processes are described below in terms of some sequential operations, it should be appreciated that some of the operations described may be performed in different order. Moreover, some operations may be performed in parallel rather than sequentially.
According to one embodiment, a digital stethoscope is disclosed that be used for auscultation to listen to internal sounds within the body. The digital stethoscope can include a housing that is similar to a typical chest piece for an acoustic or analog stethoscope. The digital stethoscope includes a number of detection devices that can be pressed against the body in order to detect sounds from within the body and generate digital audio signals. The detection devices can include, for example, micro electro-mechanical system (MEMS) microphones, and these MEMS microphones can be arranged on the housing or within the housing of the digital stethoscope. For example, the MEMS microphones can be arranged on an interface device that can have a surface region capable of being held against the body. In the case of a digital stethoscope that also functions as an analog stethoscope, this interface device can be the stethoscope surface region. In some embodiments, the digital stethoscope can include a number of MEMS microphones that are arranged symmetrically on the stethoscope.
In some embodiments, the digital stethoscope includes one or more diaphragms or surface regions and is able to also function as an analog stethoscope. In such embodiments, the detection devices can be located on the diaphragm of the stethoscope. For example, a number of MEMS microphones can be attached to an internal or an external surface of the diaphragm, and can also be connected to a processing device within the digital stethoscope. Because MEMS microphones have such a small form factor, they can be located on the diaphragm without significantly impacting the effectiveness of the diaphragm when being used as an analog stethoscope.
In some cases, the processing device within the digital stethoscope can be located within the housing (i.e. within the chest piece). In such embodiments, the chest piece can be removably attached to an air tube of the digital stethoscope, using a coupling mechanism. In alternative embodiments, the processing device can be located along the air tube of the digital stethoscope, closer to the head set and ear tips of the stethoscope.
In some embodiments, the processing device can include an engine to receive digital audio data from the detection devices, parse the information, and identify one or more features of the parsed digital audio data. The digital stethoscope can also include a communication device that is in communication with the processing device, in order to transfer data to and/or from other electronic devices. In some embodiments, the digital stethoscope can also include a pair of speakers coupled to the headset ear tips, the detection devices, and/or the processing device and communication device. The speakers can be coupled to the ears of a user in order to listen to sounds within the body, or to hear other information related to those sounds. For example, the user can simply listen to sounds within the body, or can also listen to information related to those sounds generated by the processing device. In one such example, the processing device can parse or classify the sounds by identifying a feature of the human organ being listened to, and the speakers can be used to provide that information to the user.
The digital stethoscope can also include a processing device 107, a communication device 109, and a mobile platform such as WiFi, Bluetooth, or NFC 111. The processing device 107 can be in communication with the microphones 105 and can be used, for example, to analyze digital audio signals. In some embodiments, the processing device 107 can analyze the digital audio signals from the microphones 105 in order to parse or classify the audio signals into different classifications. For example, the processing device 107 can determine whether the digital audio data is received from a human heart, a lung, a joint, or other organ or portion of the body. In some cases, the digital audio data can include data from both the heart and a lung, or some other combination of body parts, and the processing device 107 can parse the different audio signals and distinguish between them.
In some embodiments, the processing device 107 can detect features within the digital audio data and classify the digital audio data accordingly. For example, the processing device 107 may be able to detect the sound of a heart murmur, or a problem with the lungs or abdomen, and can classify the detected audio data accordingly. This classification can also be provided to the user. In some cases, the user can be a doctor or healthcare worker in a more typical care setting. In other cases, the user can be a patient operating the digital stethoscope in a remote or telemedicine setting.
The communication device 109 and mobile platform can be used to communicate with other electronic devices in order to send and/or receive data. In some embodiments, the classification data generated by the digital stethoscope can be provided to the user for a diagnosis. For example, if a heart murmur is detected, the communication device 109 can transmit this information to an electronic device in order to display a notification to the user. In other embodiments, the classification data can be stored in a database along with the digital audio data in order to generate or compile a database of digital audio signals that are associated with different conditions, organs, or other phenomena.
In some embodiments, the processing device 107 can be located onboard the stethoscope within the housing 101. Alternatively, the processing device 107 can be located within another portion of the digital stethoscope, such as along an air tube. In still other embodiments, the processing device 107 can be remote and simply in wireless communication with the microphones 105. In embodiments where the processing device 107 and communication device 109 are located onboard the digital stethoscope, the entire system may begin by initializing and establishing a communication channel between the device and an electronic device, such as a cell phone, tablet, or other mobile computing device. This other mobile electronic device can have a display screen and may be useful for operating the digital stethoscope and receiving or viewing data related to the patient being treated.
The digital stethoscope of
In some embodiments, the core AI engine 501 can include a machine learning (ML) model that is trained on a set of training data, which may be stored in the database 503. In some embodiments, such a model can be trained using annotated training data, such as digital audio data that is known to correspond to a particular phenomenon or condition, such as a heart murmur or a lung disease. Such a model is considered a supervised ML model. The core AI engine 501 can include, in some embodiments, a feature extractor or other type of unsupervised learning model that can analyze audio data and identify features or other characteristics within the data. One skilled in the art will recognize that a combination of supervised and unsupervised models can be used, and the level at which annotations can be provided to the model can vary depending on the scenario. For example, the annotated training data can include annotations related to specific segments within a digital audio file, or annotations related to specific components of an audio file that have been parsed or classified by the processing device.
Once a ML model has been trained, it can receive inputs from the digital stethoscope via a microphone array 514 in the form of heart sounds 515, lung sounds 517, abdominal sounds 519, and/or bone or ligament sounds 521. These types of sounds are merely examples, and are not intended to be an all-inclusive or complete list of the types of sounds that can be detected or identified using the core AI engine 501. The input sounds may be captured by microphones of the digital stethoscope (e.g., microphones 205 and 305 illustrated in
The determinations that can be made by the core AI engine 501 include, for example, determinations related to a physical phenomenon, such as heart murmur, acid reflux, etc. The core AI engine 501 can also analyze the digital audio data and identify whether the sound is from a heart, lungs, or other body part. Heart rate, and other attributes related to a body part can also be determined. In some cases, the core AI engine 501 can analyze the digital audio data to determine whether the sounds come from a healthy or unhealthy organ or body part.
The digital stethoscope system can also include a recording device and storage system (as discussed in more detail below), in some embodiments and can be in communication with other electronic devices in order to send and receive information, or transmit notifications. The digital stethoscope system can prompt a mobile electronic device to display certain graphical images or data representing the digital audio data, or representing different determinations or analytics that are performed by the core AI engine 501.
At operation 603, the microphones transmit the digital audio data to a processing device. The processing device can be located nearby the microphones within a device housing, or at another location on the digital stethoscope. In some cases, the processing device includes an AI engine, as discussed above, or is in communication with other electronic devices with access to the AI engine.
At operation 605, the digital audio data is analyzed, and audio classification data is generated associated with the digital audio data. This classification data can include, for example, information identifying the sounds as coming from a particular body part, information indicating the health of the body part being listened to, or other information that can be linked to the digital audio data and the patient. In one embodiment, the processing device is in communication with an AI engine and a database of digital audio data. The processing device can utilize the AI engine and the database of digital audio data to classify the digital audio data received by the microphones.
At operation 607, a database is generated including the digital audio data and the audio classification data. In some embodiments, the database can include copies of the actual digital audio data or audio files, while in other embodiments the digital audio data can include a description of the sounds detected or a link to the actual audio files. As discussed above, the audio classification data can include information indicating the source of the audio (e.g. whether the audio is coming from a human heart, a lung, a joint, or other human portion), the health of the patient, etc.
At operation 703, the processing device can determine the location of the digital stethoscope—or more specifically the location of the MEMS microphones—with respect to the audio source. For example, if the digital stethoscope is being used to listen to a heartbeat, the processing device can analyze the digital audio signals from the microphones and determine the location of the stethoscope with respect to the heart.
At operation 705, the processing device can determine the optimal location of the digital stethoscope with respect to the audio source. Returning to the example of listening to a heartbeat, the processing device knows the location of the stethoscope with respect to the heart and can determine the optimal location for listening to a heartbeat. In other embodiments, different organs or body parts can be the target of interest, and there can be different optimal locations of the stethoscope depending on the audio data that is intended to be gathered.
Once the location of the digital stethoscope is determined, as well as the optimal location of the stethoscope, the method can continue at operation 707 with determining if the stethoscope is currently in the correct location. If so, the method can return to operation 701 and continue receiving audio data at the microphones.
If the stethoscope is not at the optimal location, the method can continue at operation 711 and communicate with a portable display device. At operation 713, the digital stethoscope causes the display of the portable display device to display instructions for moving the digital stethoscope toward the optimal location. Such instructions can be particularly helpful in the telemedicine or remote treatment settings, where a patient may need to operate the digital stethoscope without the guidance of a trained medial professional.
The nonvolatile memory 813 can be, for example, a magnetic hard drive or a magnetic optical drive or an optical drive or a DVD RAM or a flash memory or other types of memory systems, which maintain data (e.g. large amounts of data) even after power is removed from the system. Typically, the nonvolatile memory 813 will also be a random access memory although this is not required. While
Portions of what was described above may be implemented with logic circuitry such as a dedicated logic circuit or with a microcontroller or other form of processing core that executes program code instructions. The microcontroller or processing core may be located onboard the digital stethoscope, or on an electronic device or remote server that is in communication with the digital stethoscope. Processes taught by the discussion above may be performed with program code, such as machine-executable instructions, that cause a machine that executes these instructions to perform certain functions. In this context, a “machine” may be a machine that converts intermediate form (or “abstract”) instructions into processor specific instructions (e.g., an abstract execution environment such as a “virtual machine” (e.g., a Java Virtual Machine), an interpreter, a Common Language Runtime, a high-level language virtual machine, etc.), and/or, electronic circuitry disposed on a semiconductor chip (e.g., “logic circuitry” implemented with transistors) designed to execute instructions such as a general-purpose processor and/or a special-purpose processor. Processes taught by the discussion above may also be performed by (in the alternative to a machine or in combination with a machine) electronic circuitry designed to perform the processes (or a portion thereof) without the execution of program code.
The present invention also relates to an apparatus for performing the operations described herein. This apparatus may be specially constructed for the required purpose, or it may comprise a general-purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium onboard the digital stethoscope, or on a device that is in communication with the digital stethoscope.
A machine readable medium includes any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine readable medium includes read only memory (“ROM”); random access memory (“RAM”); magnetic disk storage media; optical storage media; flash memory devices; etc.
An article of manufacture may be used to store program code. An article of manufacture that stores program code may be embodied as, but is not limited to, one or more memories (e.g., one or more flash memories, random access memories (static, dynamic or other)), optical disks, CD-ROMs, DVD ROMs, EPROMs, EEPROMs, magnetic or optical cards or other type of machine-readable media suitable for storing electronic instructions. Program code may also be downloaded from a remote computer (e.g., a server) to a requesting computer (e.g., a client) by way of data signals embodied in a propagation medium (e.g., via a communication link (e.g., a network connection)).
In addition, while reference may be made herein to quantitative measures, values, geometric relationships or the like, unless otherwise stated, any one or more if not all of these may be absolute or approximate to account for acceptable variations that may occur, such as those due to manufacturing or engineering tolerances or the like.
The foregoing discussion merely describes some exemplary embodiments of the present invention. One skilled in the art will readily recognize from such discussion, the accompanying drawings, and the claims that various modifications can be made without departing from the spirit and scope of the invention.
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| 20060098825 | Katz | May 2006 | A1 |
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| Number | Date | Country | |
|---|---|---|---|
| 20230010141 A1 | Jan 2023 | US |
