Description:Field of the Invention
The present invention pertains to the field of medical communication systems and methods, particularly focusing on the enhancement of medical communication through the utilization of DTMF(Dual-Tone Multi Frequency) dialing and frequency-based decoding techniques for text messages and medical information.
Objectives of the Invention
This invention aims toimprove the medical communication using DTMF dialing and frequency-based text decoding is described. The Goertzel method can be used to decode the text and numbers that are encoded by the DTMF dialing mechanism. The Goertzel algorithm is a digital signal processing method that is effective at calculating a signal's frequency components. By dialing a specific frequency connected with a particular issue, this technology enables medical practitioners to swiftly obtain medical information.
Background of the Invention
Medical communication is an essential aspect of healthcare delivery that plays a crucial role in ensuring patient safety, quality care, and positive health outcomes. Effective communication among healthcare professionals is essential to ensure that patient information is communicated accurately, and the necessary medical intervention is administered promptly. Despite the advancements in healthcare technology, medical communication remains a significant challenge, particularly in emergency situations where there is a need for fast, reliable, and accurate communication. In such cases, delays in communication can lead to adverse outcomes, including increased morbidity and mortality rates[Wu Ran, Yang Yan and Ruan Chen, Journal of Nanyang Institute of Technology, vol. 10, no. 02, pp. 53-58, 2018&M.D. Felder, J.C. Mason and B.L. Evans, , IEEE Signal Processing Lett., vol. 5, no. 7, pp. 160- 163, 1998]. The present existing technology enables patients to communicate with their caregivers and doctors during emergency. But our proposed system provides equal platform for every physically disabled person and a patient to communicate with outside world for their needs. Here the DTMF signals store certain amount of text data, so when a physically disabled person or patient press any number, a text message pop’s up on screen. This application acts as a communication device and it’s very effective and uses less computation time for generating texts as we use goertzel algorithm. DTMF signal synthesis and detection system using GUI toolbox in MATLAB and visual interface interaction, providing the DTMF signal production and detection scheme[J. Long, 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), Shenyang, China, 2020, pp. 496-500]. The testing findings indicate that the system performs well, and it can aid novices in comprehending the dialing and decoding procedures for telephone calls. To replicate the DTMF dialing system, the Goertzel function in the MATLAB signal processing toolbox is modified. The DTMF signal is encoded and decoded, and a GUI interface is built, making it simple and intuitive to use. By altering the various DFT, FFT, and Goertzel algorithm parameters[L. Yuying, 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, Chongqing, China, 2014, pp. 93-97], it is possible to change the computational effectiveness and accuracy of detection when detecting DTMF tones. The DTMF dialing system implements the detection and identification of DTMF signal generation on a microcomputer. It is a typical compact signal processing system. The band-pass DTMF signal is detected using the modified DFT algorithm[Li-Te Shen and Shaw-Hwa Hwang, Wireless and Optical Communications Networks, 2009]. Compared to the well-known Goertzel algorithm, the computation requirements are extremely low. Furthermore, the DFT and Goertzel algorithms' detection criteria and correction rate remain the same. Experimental findings support this new algorithm's strong performance. The computation is significantly scaled back. Additionally, the detection's accuracy is still the same as with DFT. The conventional DTMF signal encoding and decoding circuit is more difficult to design, and the quantity of chips makes it much easier for the system to become unstable. Digital signal processor (DSP)-based DTMF signal encoding and decoding not only enhances real-time DTMF signal processing performance, but also streamlines the overall system module. The modified Goertzel algorithm, which is based on the DFT algorithm used in digital signal processing, completes the task of DTMF signal recognition utilising the filter banks of the Goertzel algorithm before realizing
Prior Art of the Invention
A medical device data reporting system comprises filtering module responsible for examining the device data based on predefined parameter criteria. An encoding module tasked with converting the analyzed data into a digital format using a predetermined encoding method, followed by initiating the transmission of the encoded data. A transmitting module responsible for sending the encoded data over a network to another location from the device. The received from the encoding module and transmitting it to a responsive system capable of executing a predefined sequence of actions determined by the encoded data (US8994538B1). The invention pertains to systems and methods for orchestrating the travel to a shared destination through the utilization of a Destination Coordination Module. This module is designed to receive location data for one or multiple individuals and subsequently generate precise directions for each individual to reach the common destination. Additionally, the Destination Coordination Module can also accept real-time position updates for each individual and evaluate whether any person is headed toward an incorrect destination. In the event of such a determination, the Destination Coordination Module has the capability to trigger an alert and furnish revised directions to guide the individual to the intended common destination(US20170067747A1). A first medical device has the capability to receive a physiological parameter value originating from a second medical device. However, the physiological parameter value from the second device may be formatted according to a protocol that the first medical device doesn't support, rendering it incapable of directly processing the data to generate a displayable output value. This translation module's purpose is to convert the received parameter data into a compatible format that the first medical device can process effectively. After this translation process, the first medical device can proceed to process the translated parameter data and generate an output value suitable for display, either on the first medical device itself or on an auxiliary device(US11241199B2).1
Summary of the Invention
Healthcare providers can improve the speed, accuracy, and efficiency of communication, leading to better patient outcomes and an improved overall patient experience. By embracing these technologies and incorporating them into their communication strategies, healthcare organizations can create a more effective and efficient healthcare system that delivers better outcomes for patients. DTMF dialing allows quick access to important numbers and codes, reducing the likelihood of errors and improve efficiency. Frequency based text decoding can be used to transmit complex medical terms and abbreviations that may be difficult to communicate verbally. This application can further be developed into an app, where a user can just enter the number on a smart phone. In this app we can add things like translation of text and voice modules for better understanding.
Detailed Description of the invention
DTMF is a technique for communicating that represents numbers as tones. All touch tone phones employ DTMF tones to simulate the numbers on a touch tone keypad. Numerous applications, including telephone banking, call routing for customer service, system control, voicemail, and similar ones, use DTMF signalling. Sixteen touchtone symbols (0–9, A–D, #, and *) that make up a DTMF signal. One of four frequencies in a low frequency band and one of four frequencies in a higher frequency band are used to represent each symbol.This approach is to create a user interface which is user-friendly and can be used by users anytime, anywhere and any place. This is possible by creating an interface using GUI. In MATLAB, the GUI is a contemporary tool. It is an interface file that may be used to store and handle data for GUI files that are created or altered in MATLAB.
This GUI consists of multiple push buttons representing various numbers, alphabets and symbols for displaying the input that is entered. To get the results of the user need to press the push buttons one by one. The push button “Generate dial-tone” is used for generating dial-tone frequency graph of amplitude and time of given input DTMF signal. Then another graph axes named as “Bandpass filter responses” is used for representing the range of frequencies. The 2nd push button called as “decode” is pressed by user. This push button is responsible for decoding the generated. DTMF signal using goertzel algorithm. Here the decoded graph of DTMF signal is also displayed and is names as “decoded dial-tone”. The final results are displayed under decoded block present in GUI. The decoded DTMF signal consists of text message and that text messages are displayed as output in GUI. Using GUI, a physically disabled person or a patient can easily communicate with other people.
To run this application user, the user needs to create a MATLAB program using various functions to decode and encode DTMF signals. After pressing run button on screen, DTMF signals are combination of both high-frequency and low-frequency signals. Here various functions are used to encode the DTMF signals. The generated signals consist of different dial-tones and are displayed in terms of graph using GUI . The process of decoding is the main part of DTMF dial system. Here the DTMF signals are generated using various pre-defined MATLAB functions. The part of decoding includes two parts. They are: 1. Filter banks 2. Goertzel algorithm Filters are used for dividing the signal into shorter time segments representing individual key presses. And these filters are used for extracting the sinusoidal components. The filter passes only one sinusoidal signal and the highest amplitude peak will be considered as amplitude of sinusoid. Watershed Goertzel algorithm is a technique used in digital signal processing for determining the presence of specific frequency in given input signal. In this application goertzel algorithm extracts individual signal tones and they are displayed using graph. This algorithm decodes the given input DTMF signal.
A. Matching dominant frequencies
The Here matching dominant frequencies is an important step in DTMF decoding. It is important to match input signal frequency with intended frequency for establishing a reliable communication between two people. When two frequencies are matched the signals gets decoded and the text stored in frequency range will be displayed as output under decoded column in GUI.
B. Decoded message Here, the proposed application tells us about how one physically disabled person or a patient can speak with doctor or others for their needs. The encoded signals contain some text messages like “help me, I’m hungry, take me out” etc. Here these kinds of messages are assigned Decode Clear GUI Generate Signals Extracting Signal tones Filter Banks Decoded Message to different numbers, symbols and alphabets. Whenever an encoded DTMF signal is decoded then the message stored in decoded signal will be displayed using GUI.
The proposed application has been tested using MATLAB GUI and results are successfully obtained. While running the code can check for errors in command window. This type of error correction makes the code run without any glitch and makes it more useful application for society.
This frequency matching is done in order to decode the text and display is as output. It is also not displayed in GUI. This process will be performed in code itself. If the frequency coefficients of encoded and decoded of DTMF signals are matched then only output is displayed. To detect the presence of a specific DTMF tone, the Goertzel algorithm is applied to the sampled signal using two sets of coefficients that correspond to the two frequencies of the tone. The algorithm calculates the magnitude of the two coefficients and compares them to a set of pre-defined thresholds. If the magnitudes of both coefficients exceed their respective thresholds, the DTMF tone is detected As results are obtained using this interface, one person can easily use a normal keypad on his mobile to communicate with other people or doctors by only entering a number rather than typing. This interface kind of thing is easy to access for people who are physically disabled or for patients to speak with doctors and family members. It will be easy for people who are unable to speak.
Brief Description of the Drawing
In the figures which are illustrated exemplary embodiments of the invention.
Figure 1 Block diagram of Block diagram of Frequency based Decoding of Text Messages
Figure 2 Text message of decoded signal
Figure 3 Representation of various high and low frequency signals.

Detailed Description of the Drawing
Figure 1 shows the block diagram of block diagram of Frequency based Decoding of Text Messages.This GUI includes an array of push buttons, each representing various numbers, alphabets and symbols for displaying the input that is entered. To obtainthe user’s desired output, user must press these push buttons individually. By clicking the “Generate dial-tone” push button, the GUI generates a frequency graph of the amplitude and time for the provided DTMF signal input.
Figure 2 illustrates the decoded dial-tone graph which has been generated through the implementation of the Goertzel algorithm and BPF responses in terms of graphical data. Additionally, in the lower-left corner of the figure, a corresponding message has been generated.
Figure 3 depicts a visual representation of the different high and low frequency signals.
5 Claims & 3 Figures , Claims:The scope of the invention is defined by the following claims:

Claims:
1. A system for enhancing medical communication comprising the A DTMF (Dual-Tone Multi-Frequency) dialling interface for inputting text messages and medical data.
a) A graphical user interface for displaying decoded text messages and medical data.

b) A database for storing and retrieving medical information associated with received DTMF-encoded messages.
c) A Goertzel algorithm implementation for accurate frequency analysis of DTMF signals.
2. As per Claim 1, a signal processing unit for extracting encoded data from the DTMF signals.
3. As per Claim 1, a transmission module for sending the DTMF encoded messages to the frequency-based decoding module.
4. As per Claim 1, displaying the decoded text message and associated medical data on a GUI.
5. As mentioned in Claim1, processing the DTMF-encoded message using a frequency-based decoding module.