Intelligent respiration monitoring system for COPD (chronic obstructive pulmonary disease) patient
By designing an intelligent respiratory monitoring system for COPD patients, which combines chest, abdominal, and blood data assessment, the problem of incomplete assessment in existing technologies has been solved, enabling more accurate disease assessment and management.
Patent Information
- Application Number
- CN202510805849.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-17
- Publication Date
- 2025-10-28
AI Technical Summary
Current technologies only consider the patient's respiratory parameters, resulting in an incomplete and inaccurate assessment of COPD patients' conditions, lacking consideration of key physiological indicators such as diaphragmatic movement and blood oxygen metabolism.
Design an intelligent respiratory monitoring system for COPD patients. Collect chest respiratory data, abdominal respiratory data, and blood data from patients through a chest strap, abdominal strap, and wristband. Combine this with environmental monitoring and treatment monitoring to comprehensively assess the patient's condition.
It improves the comprehensiveness and accuracy of disease assessment, helps determine the trend of disease development by monitoring diaphragm and blood parameters, and provides medication and medical advice to help patients better manage their condition.
Smart Images
Figure CN120837029A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical management technology, specifically to an intelligent respiratory monitoring system for COPD patients. Background Technology
[0002] Chronic obstructive pulmonary disease (COPD) is a common, preventable, and treatable chronic inflammatory airway disease characterized by persistent respiratory symptoms and airflow limitation, often associated with exposure to toxic particles or gases such as tobacco smoke and air pollutants. Long-term monitoring of respiratory parameters (such as the amplitude and frequency of chest expansion) is necessary for COPD patients to understand the progression of their disease and facilitate treatment.
[0003] In existing technologies, various respiratory parameters of patients are collected using devices such as strain sensors. These parameters are then calculated and analyzed to assess the current condition and progression of the patient's illness. However, key physiological indicators such as diaphragmatic movement and blood oxygen metabolism can also affect the progression of the illness. This assessment method only considers the patient's respiratory parameters, resulting in an incomplete assessment process and inaccurate assessment results.
[0004] In summary, addressing the problem that existing technologies, which only consider patients' respiratory parameters, lead to a one-sided assessment process and a lack of accuracy in the results, has become a pressing issue in this field. Therefore, it is necessary to propose an intelligent respiratory monitoring system for COPD patients that can improve the comprehensiveness and accuracy of disease monitoring and assessment. Summary of the Invention
[0005] To address the aforementioned issues, this invention provides an intelligent respiratory monitoring system for COPD patients. Through the design of a respiratory monitoring module, the system comprehensively assesses the patient's condition from multiple aspects, including chest breathing, abdominal breathing, and blood circulation, effectively improving the comprehensiveness and accuracy of the assessment.
[0006] To achieve the above objectives, the technical solution of the present invention is as follows: an intelligent respiratory monitoring system for COPD patients, comprising a chest strap, an abdominal strap, a wristband, a respiratory monitoring module, an environmental monitoring module, and a treatment monitoring module.
[0007] The chest strap is equipped with a triaxial piezoresistive strain sensor, a first timer, and a first microphone; the abdominal strap is equipped with a capacitive pressure sensor, a second timer, and a second microphone; and the wristband is equipped with a photoplethysmometer, an accelerometer, a gyroscope, a GPS, a microphone, a camera, a laser particle sensor, and a temperature and humidity sensor.
[0008] The respiratory monitoring module is used to collect patients' chest respiratory data, abdominal respiratory data, and blood data using a chest strap, abdominal strap, and wristband, respectively. The respiratory monitoring module is also used to assess the patient's condition based on the chest respiratory data; to assess the patient's abdominal respiratory function based on the abdominal respiratory data, and to assist in assessing the patient's condition based on the abdominal respiratory function; and to assess the progression trend of the patient's condition based on the patient's blood data.
[0009] The environmental monitoring module is used to set particulate matter concentration thresholds, temperature thresholds, and humidity thresholds, and uses a wristband to monitor the particulate matter concentration, temperature, and humidity in the patient's environment. When the particulate matter concentration in the patient's environment exceeds one or more of the particulate matter concentration threshold, temperature threshold, or humidity threshold, the environmental monitoring module issues one or more warnings for excessive particulate matter, excessive temperature, or excessive humidity through the wristband.
[0010] The treatment monitoring module is used to input medical orders and extract medication rules and follow-up visit rules based on the content of the orders. Medication rules include the medication time, drug name, and dosage; follow-up visit rules include the follow-up visit time and location. When the medication time arrives, the treatment monitoring module announces the drug name and dosage to the patient via voice, monitors the patient's hand movements using a wristband to determine if medication action has occurred, and collects audio from the patient's esophagus and abdomen using a chest and abdominal strap to determine if medication audio is present in the esophagus and abdomen. If the patient exhibits both medication action and medication audio during the medication time, the treatment monitoring module determines that the patient has followed the instructions. If the patient fails to simultaneously perform the medication action and record the medication administration within the prescribed time, the treatment monitoring module determines that the patient has not taken the medication on time and generates a medication warning. One day before the scheduled follow-up appointment, the treatment monitoring module announces the appointment time and location to the patient via voice. Upon arrival at the scheduled follow-up appointment, the treatment monitoring module uses the wristband to collect the patient's real-time location and determines whether the patient is at the appointment location. If the patient is at the appointment location within the scheduled time, the treatment monitoring module determines that the patient has attended the appointment on time; if the patient is not at the appointment location within the scheduled time, the treatment monitoring module determines that the patient has not attended the appointment on time and generates a follow-up appointment warning.
[0011] Furthermore, chest breathing data includes the amplitude and cycle of chest expansion, the duration of expiration and inhalation, and chest breath sounds.
[0012] Furthermore, the respiratory monitoring module is used to set respiratory volume thresholds and respiratory rate thresholds, and analyzes the patient's chest respiratory volume and respiratory rate based on the amplitude and cycle of chest expansion. Based on the patient's chest respiratory volume and respiratory rate and the respiratory volume thresholds and respiratory rate thresholds, a chest respiratory score is obtained. It is also used to set an IPR ratio threshold, and calculates the patient's IPR ratio based on the patient's inspiratory and expiratory durations. Based on the IPR ratio and the IPR ratio threshold, an IPR score is obtained. It is also used to set a respiratory sound frequency threshold and an interval threshold, and obtains a patency score based on the frequency and interval of the patient's respiratory sounds. Finally, a comprehensive score is obtained by summing the patient's chest respiratory score, IPR score, and patency score.
[0013] The formula for calculating the respiratory score is as follows:
[0014] X = (H1 / H0 + F1 / F0) / 2 (1).
[0015] Where X represents the respiratory score, H1 represents the patient's current respiratory volume, H0 represents the respiratory volume threshold, F1 represents the patient's current respiratory rate, and F0 represents the respiratory rate threshold.
[0016] The formula for calculating the inspiratory-to-expiratory ratio score is as follows:
[0017] Y = (T1 / T2) / T0 (2).
[0018] Where Y represents the inspiratory-to-expiratory ratio score, T1 represents the patient's current inspiratory duration, T2 represents the patient's current expiratory duration, and T0 represents the inspiratory-to-expiratory ratio threshold.
[0019] The formula for calculating the fluency score is as follows:
[0020] Z = (W1 / W0 + Q1 / Q0) / 2 (3).
[0021] Where Z represents the patency score, W1 represents the frequency of the patient's current breath sounds, W0 represents the frequency threshold of breath sounds, Q1 represents the interval of the patient's current breath sounds, and Q0 represents the interval threshold of breath sounds.
[0022] The formula for calculating the overall score is as follows:
[0023] P = (X + Y + Z) / 3 (4).
[0024] Where P represents the overall score.
[0025] Furthermore, abdominal respiratory data includes the magnitude and cycle of abdominal expansion and bowel sounds.
[0026] Furthermore, the respiratory monitoring module is also used to analyze the amplitude and cycle of diaphragmatic contraction based on the amplitude and cycle of the patient's abdominal expansion. Based on the ratio of the amplitude of chest expansion to the amplitude of diaphragmatic contraction, it determines the matching degree between the amplitude of the patient's chest expansion and the amplitude of diaphragmatic contraction, and derives a matching degree coefficient based on the matching degree. The respiratory monitoring module is also used to calculate the phase difference between the chest expansion cycle and the diaphragmatic contraction cycle based on the chest expansion cycle and the diaphragmatic contraction cycle, and derive a phase difference coefficient based on the phase difference. Using the matching degree coefficient and the phase difference coefficient, the comprehensive score is calibrated to obtain a calibration score.
[0027] The calibration score is calculated using the following formula:
[0028] P X =P*(k+j) / 2 (5).
[0029] Where, P X denoted by , k represents the matching coefficient, and j represents the phase difference coefficient.
[0030] Furthermore, blood data includes blood oxygen saturation and heart rate variability.
[0031] Furthermore, the respiratory monitoring module is used to set blood oxygen saturation thresholds and heart rate variability thresholds. Based on the patient's blood oxygen saturation and heart rate variability, the module compares the patient's blood oxygen saturation and heart rate variability with the blood oxygen saturation thresholds and heart rate variability thresholds respectively to assess the progression trend of the patient's condition.
[0032] Furthermore, the respiratory monitoring module is also used to set a threshold for bowel sound frequency. Based on the ratio of the patient's bowel sound frequency to the threshold, a development trend coefficient is derived. The respiratory monitoring module is used to further assess the development trend of the patient's condition based on the patient's development trend coefficient.
[0033] Furthermore, the actions involved in administering the medication include raising the hand, bringing it close to the mouth, and rotating the hand.
[0034] Furthermore, the medication audio includes audio of swallowing the medication and audio of water flowing.
[0035] The above approach has the following beneficial effects:
[0036] 1. Existing technologies only monitor various respiratory parameters in the patient's chest cavity to assess the current condition and progression of the disease. This assessment method only considers these parameters and lacks consideration of key physiological indicators such as diaphragmatic movement and blood oxygen metabolism, resulting in an incomplete assessment process and inaccurate results. During actual breathing, the thoracic cavity gradually expands during inhalation, while the diaphragm gradually contracts, with its top descending to assist in thoracic expansion and provide space for lung expansion. Therefore, this invention monitors not only the patient's respiratory parameters in the chest cavity but also changes in the diaphragm, thereby providing a comprehensive assessment of the patient's condition and improving the comprehensiveness and accuracy of the evaluation.
[0037] 2. In existing technologies, the assessment of a patient's condition and recovery status relies solely on the patient's respiratory status, leading to inaccurate assessments. Changes in the patient's respiratory status also alter various parameters in the patient's blood. Therefore, the development trend of a patient's condition and recovery status can be reflected not only by various respiratory parameters but also by the development trend of the patient's condition. Thus, this invention monitors various blood data of the patient and assesses the development trend of the patient's condition to assist in judging the development trend of the patient's condition and recovery status, thereby further improving the accuracy of the assessment.
[0038] 3. In the prior art, only the patient's physical data are monitored; unlike the prior art, the present invention, in addition to monitoring the patient's physical parameters, also monitors the patient's medication and follow-up visits, and provides patients with reminders and warnings on medication and medical treatment, assisting patients in managing their condition and thus helping them to better treat their condition.
[0039] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0040] Figure 1 This is a schematic diagram of the intelligent respiratory monitoring system for COPD patients of the present invention.
[0041] Figure 2 This is a functional diagram of the respiratory monitoring module in the intelligent respiratory monitoring system for COPD patients of the present invention.
[0042] Figure 3 This is a functional diagram of the environmental monitoring module in the intelligent respiratory monitoring system for COPD patients of the present invention.
[0043] Figure 4 This is a functional diagram of the treatment monitoring module in the intelligent respiratory monitoring system for COPD patients of the present invention. Detailed Implementation
[0044] The following detailed description illustrates the specific implementation method:
[0045] Implementation, for example, attached Figure 1 As shown, an intelligent respiratory monitoring system for COPD patients includes a chest strap, an abdominal strap, a wristband, a respiratory monitoring module, an environmental monitoring module, and a treatment monitoring module; all modules are interconnected.
[0046] The chest strap is equipped with a triaxial piezoresistive strain sensor, a first timer, and a first microphone; the abdominal strap is equipped with a capacitive pressure sensor, a second timer, and a second microphone; and the wristband is equipped with a photoplethysmometer, an accelerometer, a gyroscope, a GPS, a microphone, a camera, a laser particle sensor, and a temperature and humidity sensor.
[0047] The respiratory monitoring module monitors various respiratory data of patients and analyzes the patient's condition and its development trend based on the respiratory data; the environmental monitoring module monitors environmental data of the patient's environment and provides the patient with various early warnings based on the environmental data; the treatment monitoring module monitors the patient's medication and medical treatment behavior and reminds the patient to take medication and seek medical treatment on time.
[0048] The specific functions of each module are as follows:
[0049] As attached Figure 2 As shown, the respiratory monitoring module is used to collect the patient's chest respiratory data, abdominal respiratory data, and blood data using a chest strap, abdominal strap, and wristband, respectively. The respiratory monitoring module is used to assess the patient's condition based on the chest respiratory data; to assess the patient's abdominal respiratory function based on the abdominal respiratory data, and to assist in assessing the patient's condition based on the patient's abdominal respiratory function; and to assess the progression trend of the patient's condition based on the patient's blood data.
[0050] The chest breathing data includes the amplitude and cycle of chest expansion, the duration of expiration and inspiration, and chest breath sounds. The breathing monitoring module monitors the amplitude and cycle of chest expansion, the duration of expiration and inspiration, based on a triaxial piezoresistive strain sensor and a first timer, and monitors the patient's breath sounds based on a first microphone.
[0051] The respiratory monitoring module is used to set respiratory volume and respiratory rate thresholds (which can be set by medical staff according to the patient's recovery status; the respiratory volume and respiratory rate thresholds are directly proportional to the patient's recovery status). It analyzes the patient's chest respiratory volume and respiratory rate based on the amplitude and cycle of chest expansion, and derives a chest respiratory score based on the patient's chest respiratory volume and respiratory rate thresholds. It is also used to set the inspiratory-to-expiratory ratio (IPR) threshold and calculates the IPR based on the patient's inspiratory and expiratory durations, deriving an IPR score based on the IPR threshold. Furthermore, it is used to set the frequency and interval thresholds for breath sounds, deriving a patency score based on the frequency and interval of the patient's breath sounds. Finally, a comprehensive score is derived from the sum of the patient's chest respiratory score, IPR score, and patency score.
[0052] The formula for calculating the respiratory score is as follows:
[0053] X = (H1 / H0 + F1 / F0) / 2 (1).
[0054] Where X represents the respiratory score, H1 represents the patient's current respiratory volume, H0 represents the respiratory volume threshold, F1 represents the patient's current respiratory rate, and F0 represents the respiratory rate threshold.
[0055] The formula for calculating the inspiratory-to-expiratory ratio score is as follows:
[0056] Y = (T1 / T2) / T0 (2).
[0057] Where Y represents the inspiratory-to-expiratory ratio score, T1 represents the patient's current inspiratory duration, T2 represents the patient's current expiratory duration, and T0 represents the inspiratory-to-expiratory ratio threshold.
[0058] The formula for calculating the fluency score is as follows:
[0059] Z = (W1 / W0 + Q1 / Q0) / 2 (3).
[0060] Where Z represents the patency score, W1 represents the frequency of the patient's current breath sounds, W0 represents the frequency threshold of breath sounds, Q1 represents the interval of the patient's current breath sounds, and Q0 represents the interval threshold of breath sounds.
[0061] The formula for calculating the overall score is as follows:
[0062] P = (X + Y + Z) / 3 (4).
[0063] Where P represents the overall score.
[0064] Specifically, taking the respiratory score as an example, assume that the respiratory volume threshold and respiratory rate threshold are set to 400ml / time and 16 times / min respectively; assume that the respiratory volume and respiratory rate of patient A are 320ml / time and 12 times / min respectively; substitute the above data into formula (1) to calculate the patient's respiratory score as 0.775, which is 77.5 points when converted to a percentage.
[0065] Taking the inspiratory-to-expiratory ratio score as an example, assuming the inspiratory-to-expiratory ratio threshold is set to 0.5; assuming the average inspiratory time and expiratory time of patient A are 1s and 3.2s respectively; substituting the above data into formula (2), the patient's inspiratory-to-expiratory ratio score is calculated to be 0.625, which is 62.5 points when converted to a percentage system.
[0066] Taking the patency score as an example, assume that the frequency threshold and interval threshold of the breath sound are set to 240Hz and 0.5s respectively; assume that the frequency and interval of the breath sound of patient A are 120Hz and 1.25s respectively; substitute the above data into formula (3) to calculate the patient's patency score as 0.45, which is 45 points when converted to a percentage.
[0067] Taking the overall score as an example, when a patient's overall score is 0-60, 61-70, 71-90, and 91-100, the respiratory monitoring module determines that the patient is in a state of severe respiratory disease, moderate respiratory disease, mild respiratory disease, and healthy, respectively. Patient A's overall score is 61.6, so the respiratory monitoring module determines that the patient is in a state of moderate respiratory disease. The overall score can provide a preliminary reflection of the patient's current condition, making it easier for both patients and medical staff to understand the patient's current condition.
[0068] Abdominal respiratory data includes the amplitude and cycle of abdominal expansion and bowel sounds. The respiratory monitoring module collects the amplitude and cycle of abdominal expansion based on a capacitive pressure sensor and a second timer, and collects bowel sounds based on a second microphone. The respiratory monitoring module analyzes the amplitude and cycle of diaphragmatic contraction based on the amplitude and cycle of abdominal expansion. Based on the ratio of chest cavity expansion amplitude to diaphragmatic contraction amplitude, it determines the matching degree between the amplitude of chest cavity expansion and the amplitude of diaphragmatic contraction, and derives a matching degree coefficient. The respiratory monitoring module also calculates the phase difference between the chest cavity expansion cycle and the diaphragmatic contraction cycle, and derives a phase difference coefficient. Using the matching degree coefficient and the phase difference coefficient, the overall score is calibrated to obtain a calibration score.
[0069] The calibration score is calculated using the following formula:
[0070] P X =P*(k+j) / 2 (5).
[0071] Where, PX denoted by , k represents the matching coefficient, and j represents the phase difference coefficient.
[0072] Specifically, taking patient A as an example, assuming that the patient's diaphragm contraction is weak during chest expansion, resulting in insufficient respiratory compensation, the matching coefficient is calculated to be 0.81 based on the ratio of the patient's chest expansion amplitude to the diaphragm contraction amplitude. Based on the chest expansion cycle and the diaphragm contraction cycle, the phase difference coefficient is calculated to be 0.83. Substituting the above data into formula (5), the patient's calibration score is 50.5 points. The respiratory monitoring module analyzes the patient's condition again based on the patient's calibration score and determines that the patient is in a state of severe respiratory disease. By combining the analysis of the patient's chest and abdominal movements during breathing, patients and medical staff can accurately understand the actual condition of the patient.
[0073] Blood data includes blood oxygen saturation and heart rate variability. The respiratory monitoring module collects the patient's blood oxygen saturation and heart rate variability based on a photoplethysmography sensor. The respiratory monitoring module is used to set blood oxygen saturation thresholds and heart rate variability thresholds, and compares the patient's blood oxygen saturation and heart rate variability with the blood oxygen saturation thresholds and heart rate variability thresholds respectively to assess the progression of the patient's condition.
[0074] Specifically, in clinical practice, the normal range for blood oxygen saturation is 95%-100%, and the normal range for heart rate variability is 50-240 ms. Assuming the blood oxygen saturation threshold is set to 95%, the minimum heart rate variability threshold is set to 50 ms, and the maximum heart rate variability threshold is set to 240 ms, patient B's blood oxygen saturation threshold is 88%, and their heart rate variability is 62 ms. The respiratory monitoring module will determine that patient B's heart rate variability is within the normal range, but their blood oxygen saturation is far below normal, indicating abnormal blood circulation and severe respiratory disease. If the patient's blood oxygen saturation and heart rate variability continue to decline, it indicates a worsening of the patient's respiratory disease. The respiratory monitoring module can preliminarily determine the patient's condition progression trend by monitoring changes in blood oxygen saturation and heart rate variability.
[0075] The respiratory monitoring module is also used to set the bowel sound frequency threshold. Based on the ratio of the patient's bowel sound frequency to the bowel sound frequency threshold, a development trend coefficient is obtained. The respiratory monitoring module is used to further assess the development trend of the patient's condition based on the patient's development trend coefficient.
[0076] Specifically, if a patient's trend coefficient is less than 1, it indicates weak respiratory function leading to insufficient blood oxygen supply. In this case, the bowel sound frequency will be lower than the bowel sound frequency threshold, resulting in a trend coefficient less than 1. The smaller the trend coefficient, the more severe the patient's condition. A value of 0.8-1.0 indicates mild respiratory disease, 0.5-0.8 indicates moderate respiratory disease, and below 0.5 indicates severe respiratory disease. For example, assuming the bowel sound frequency threshold is set to 5 times / min, and the patient's current bowel sound frequency is 4 times / min with a trend coefficient of 0.8, after a period of time, if the patient's bowel sound frequency changes to 3 times / min, the trend coefficient changes to 0.6. The respiratory monitoring module will then determine that the patient has moderate respiratory disease, and the condition is gradually worsening.
[0077] As attached Figure 3 As shown, the environmental monitoring module is used to set particulate matter concentration thresholds, temperature thresholds, and humidity thresholds. It uses the laser particulate matter sensor and temperature and humidity sensor in the wristband to monitor the particulate matter concentration and temperature and humidity in the patient's environment. When the particulate matter concentration in the patient's environment exceeds one or more of the particulate matter concentration threshold, temperature threshold, or humidity threshold, the environmental monitoring module immediately issues one or more of the following warnings through the wristband's broadcaster: particulate matter exceeding the standard warning, temperature exceeding the standard warning, or humidity exceeding the standard warning.
[0078] Specifically, taking the particulate matter concentration threshold as an example, assuming the particulate matter concentration threshold is set to 30 μg / m³ 3 The concentration of particulate matter in the environment where patient C is currently located has reached 36 μg / m³. 3 The environmental monitoring module immediately issued a particulate matter exceeding the standard warning through the wristband's broadcaster: "The current concentration of particulate matter in the environment exceeds the standard. Please wear a mask or stay away from this area."
[0079] As attached Figure 4As shown, the treatment monitoring module uses a camera to record medical orders and extracts medication rules and follow-up visit rules based on the content of the orders. Medication rules include medication time, drug name, and dosage; follow-up visit rules include follow-up visit time and location. When the medication time arrives, the treatment monitoring module uses a loudspeaker to announce the drug name and dosage to the patient in voice form. It also uses an accelerometer and gyroscope on the wristband to monitor the patient's hand movements, determining whether the patient is performing medication actions based on these movements. Furthermore, it uses a chest and abdominal strap to collect audio from the patient's esophagus and abdomen, determining whether medication audio is present in these areas. If the patient exhibits both medication actions and medication audio during the medication time, the treatment... The monitoring module determines whether the patient is taking medication on time. If the patient does not simultaneously perform the medication action and record the medication audio within the prescribed time, the treatment monitoring module determines that the patient has not taken medication on time and generates a medication warning. One day before the scheduled follow-up appointment, the treatment monitoring module announces the appointment time and location to the patient via voice. When the appointment time arrives, the treatment monitoring module uses the GPS on the wristband to collect the patient's real-time location and determines whether the patient is at the appointment location. If the patient is at the appointment location within the scheduled time, the treatment monitoring module determines that the patient is attending the appointment on time. If the patient is not at the appointment location within the scheduled time, the treatment monitoring module determines that the patient has not attended the appointment on time and generates a follow-up appointment warning.
[0080] The medication administration actions include raising the hand, bringing it close to the mouth, and rotating the hand; the medication administration audio includes audio of swallowing the medication and audio of water flowing.
[0081] Specifically, taking the judgment of medication actions as an example, after the medication time arrives, assuming the treatment monitoring module detects that the patient raises their hand, brings their hand close to their mouth, and rotates their hand, and at the same time, the treatment monitoring module extracts the audio of coughing from the patient's audio, but does not extract the audio of swallowing medication or the audio of water flowing, the treatment monitoring module will judge that the patient is currently in a coughing state, not a medication state; only when the patient simultaneously exhibits the actions of raising their hand, bringing their hand close to their mouth, rotating their hand, and having the audio of swallowing medication and the audio of water flowing within the medication time will the treatment monitoring module judge that the patient has taken their medication on time. This avoids the treatment monitoring module misjudging actions such as the patient covering their mouth and nose due to air pollution or coughing as medication actions, thus improving the accuracy of medication monitoring.
[0082] Current technologies only monitor various respiratory parameters in the patient's chest cavity to assess the patient's current condition and its progression. This assessment method, considering only these parameters, is not comprehensive enough and lacks accuracy. During actual breathing, the thoracic cavity gradually expands during inhalation, while the diaphragm gradually contracts, causing its top to descend and assist in thoracic expansion, providing space for lung expansion. Therefore, this invention monitors not only the patient's respiratory parameters but also changes in the diaphragm, thus providing a comprehensive assessment of the patient's condition and improving the comprehensiveness and accuracy of the evaluation.
[0083] In existing technologies, the assessment of a patient's condition and recovery relies solely on the patient's respiratory status, leading to inaccurate assessments. Changes in the patient's respiratory status also alter various parameters in their blood. Therefore, the development and recovery of a patient's condition can be reflected not only by respiratory parameters but also by the overall trend of their illness. This invention, by monitoring various blood data of the patient and assessing the development trend of their condition, further improves the accuracy of the assessment.
[0084] In existing technologies, monitoring only the patient's physical data is performed. In contrast, this invention monitors not only the patient's physical parameters but also the patient's medication and follow-up visits. It provides patients with reminders and warnings regarding medication and medical care, assisting them in managing their condition and ultimately helping them to better treat their illness.
[0085] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.
Claims
1. An intelligent respiratory monitoring system for COPD patients, characterized in that, It includes a chest strap, abdominal strap, wristband, respiratory monitoring module, environmental monitoring module, and treatment monitoring module; The chest strap is equipped with a triaxial piezoresistive strain sensor, a first timer, and a first microphone; the abdominal strap is equipped with a capacitive pressure sensor, a second timer, and a second microphone; the wristband is equipped with a photoplethysmometer, an accelerometer, a gyroscope, a GPS, a microphone, a camera, a laser particle sensor, and a temperature and humidity sensor. The respiratory monitoring module is used to collect patients' chest respiratory data, abdominal respiratory data, and blood data using a chest strap, abdominal strap, and wristband, respectively. The respiratory monitoring module is also used to assess the patient's condition based on the chest respiratory data; to assess the patient's abdominal respiratory function based on the abdominal respiratory data, and to assist in assessing the patient's condition based on the abdominal respiratory function; and to assess the progression trend of the patient's condition based on the patient's blood data. The environmental monitoring module is used to set particulate matter concentration thresholds, temperature thresholds, and humidity thresholds, and uses a wristband to monitor the particulate matter concentration, temperature, and humidity in the patient's environment. When the particulate matter concentration in the patient's environment exceeds one or more of the particulate matter concentration threshold, temperature threshold, or humidity threshold, the environmental monitoring module will issue one or more warnings for excessive particulate matter, excessive temperature, or excessive humidity through the wristband. The treatment monitoring module is used to input medical orders and extract medication rules and follow-up visit rules based on the content of the medical orders. Medication rules include medication time, drug name, and dosage. Follow-up visit rules include follow-up visit time and location. When the medication time arrives, the treatment monitoring module is used to announce the drug name and dosage to the patient in voice form, and uses a wristband to monitor the patient's hand movements to determine whether the patient has taken medication actions. It also uses a chest strap and abdominal strap to collect audio from the patient's esophagus and abdomen to determine whether medication audio is present in the patient's esophagus and abdomen. If the patient takes medication and hears medication audio simultaneously within the prescribed time, the treatment monitoring module determines that the patient is taking medication on time. If the patient does not take medication and hear medication audio simultaneously within the prescribed time, the treatment monitoring module determines that the patient is not taking medication on time and generates a medication warning. One day before the scheduled follow-up appointment, the treatment monitoring module announces the appointment time and location to the patient via voice. Once the appointment time arrives, the treatment monitoring module uses the wristband to collect the patient's real-time location and determines whether the patient is at the appointment location based on the real-time location. If the patient is at the designated follow-up location within the scheduled follow-up time, the treatment monitoring module determines that the patient has attended the follow-up appointment on time. If the patient is not at the designated follow-up location within the scheduled follow-up time, the treatment monitoring module determines that the patient has not attended the follow-up appointment on time and generates a follow-up appointment warning.
2. The intelligent respiratory monitoring system for COPD patients according to claim 1, characterized in that, Chest breathing data includes the amplitude and cycle of chest expansion, duration of expiration and inhalation, and chest breath sounds.
3. The intelligent respiratory monitoring system for COPD patients according to claim 2, characterized in that, The respiratory monitoring module is used to set respiratory volume thresholds and respiratory rate thresholds, and analyzes the respiratory volume and respiratory rate of the patient's chest based on the amplitude and cycle of the patient's chest expansion. Based on the patient's chest respiratory volume and respiratory rate and the respiratory volume thresholds and respiratory rate thresholds, a chest respiratory score is obtained. This tool is used to set the inspiratory-to-expiratory ratio (IPR) threshold and calculate the IPR based on the patient's inspiratory and expiratory durations. Based on the IPR and IPR threshold, an IPR score is obtained. It is also used to set the frequency and interval thresholds for breath sounds and obtain a patency score based on the frequency and interval of the patient's breath sounds. Finally, a comprehensive score is obtained by summing the patient's chest breathing score, IPR score, and patency score. The formula for calculating the respiratory score is as follows: X = (H1 / H0 + F1 / F0) / 2 (1); Where X represents the respiratory score, H1 represents the patient's current respiratory volume, H0 represents the respiratory volume threshold, F1 represents the patient's current respiratory rate, and F0 represents the respiratory rate threshold. The formula for calculating the inspiratory-to-expiratory ratio score is as follows: Y = (T1 / T2) / T0 (2); Where Y represents the inspiratory-to-expiratory ratio score, T1 represents the patient's current inspiratory duration, T2 represents the patient's current expiratory duration, and T0 represents the inspiratory-to-expiratory ratio threshold. The formula for calculating the fluency score is as follows: Z = (W1 / W0 + Q1 / Q0) / 2 (3); Where Z represents the patency score, W1 represents the frequency of the patient's current breath sounds, W0 represents the frequency threshold of breath sounds, Q1 represents the interval of the patient's current breath sounds, and Q0 represents the interval threshold of breath sounds. The formula for calculating the overall score is as follows: P = (X + Y + Z) / 3 (4); Where P represents the overall score.
4. The intelligent respiratory monitoring system for COPD patients according to claim 3, characterized in that, Abdominal respiratory data include the magnitude and cycle of abdominal expansion and bowel sounds.
5. The intelligent respiratory monitoring system for COPD patients according to claim 4, characterized in that, The respiratory monitoring module is also used to analyze the amplitude and cycle of diaphragmatic contraction based on the amplitude and cycle of the patient's abdominal expansion, and to determine the matching degree between the amplitude of the patient's chest expansion and the amplitude of diaphragmatic contraction based on the ratio of the amplitude of chest expansion to the amplitude of diaphragmatic contraction, and to derive the matching degree coefficient based on the matching degree between the two. The respiratory monitoring module is also used to calculate the phase difference between the chest cavity expansion cycle and the diaphragm contraction cycle based on the chest cavity expansion cycle and the diaphragm contraction cycle, and to obtain the phase difference coefficient based on the phase difference between the two; using the matching coefficient and the phase difference coefficient, the comprehensive score is calibrated to obtain the calibration score. The calibration score is calculated using the following formula: P X =P*(k+j) / 2 (5); Where, P X denoted by , k represents the matching coefficient, and j represents the phase difference coefficient.
6. The intelligent respiratory monitoring system for COPD patients according to claim 5, characterized in that, Blood data include blood oxygen saturation and heart rate variability.
7. The intelligent respiratory monitoring system for COPD patients according to claim 6, characterized in that, The respiratory monitoring module is used to set blood oxygen saturation thresholds and heart rate variability thresholds, and compares the patient's blood oxygen saturation and heart rate variability with the blood oxygen saturation thresholds and heart rate variability thresholds respectively to assess the progression of the patient's condition.
8. The intelligent respiratory monitoring system for COPD patients according to claim 7, characterized in that, The respiratory monitoring module is also used to set the bowel sound frequency threshold. Based on the ratio of the patient's bowel sound frequency to the bowel sound frequency threshold, a development trend coefficient is obtained. The respiratory monitoring module is used to further assess the development trend of the patient's condition based on the patient's development trend coefficient.
9. The intelligent respiratory monitoring system for COPD patients according to claim 8, characterized in that, Actions involving administering medication include raising the hand, bringing it close to the mouth, and rotating the hand.
10. The intelligent respiratory monitoring system for COPD patients according to claim 9, characterized in that, The medication audio includes audio of swallowing the medication and audio of water flowing.