CN-121987953-A - Diaphragm stimulation control method, device, apparatus, storage medium and program product

CN121987953ACN 121987953 ACN121987953 ACN 121987953ACN-121987953-A

Abstract

The application discloses a diaphragm stimulation control method, device, equipment, storage medium and program product. The method comprises the steps of collecting human chest impedance data through an electrical impedance tomography technology, constructing a first lung ventilation image sequence according to the human chest impedance data, extracting a global ventilation curve from the first lung ventilation image sequence, determining a respiratory cycle key point according to the global ventilation curve, wherein the respiratory cycle key point comprises at least one of an inhalation starting point, an inhalation peak point, an exhalation starting point and an end point, determining inhalation trigger time of the next cycle according to the respiratory cycle key point, triggering diaphragm electrical stimulation according to the inhalation trigger time, collecting a stimulated second lung ventilation image sequence, extracting a ventilation effect feedback index from the second lung ventilation image sequence, and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback index.

Inventors

XIA WEI
BAI FAN

Assignees

无锡易刻医疗器械有限公司

Dates

Publication Date: 20260508
Application Date: 20260214

Claims (10)

1. A method of diaphragm stimulation control, comprising: Acquiring human chest impedance data through an electrical impedance tomography technology, and constructing a first lung ventilation image sequence according to the human chest impedance data; extracting a global ventilation curve from the first lung ventilation image sequence, and determining a respiratory cycle key point according to the global ventilation curve, wherein the respiratory cycle key point comprises at least one of an inhalation starting point, an inhalation peak point, an exhalation starting point and an end point; Determining inhalation triggering time of the next period according to the key points of the respiratory period, triggering diaphragm electrical stimulation according to the inhalation triggering time, and collecting a stimulated second lung ventilation image sequence; and extracting a ventilation effect feedback index from the second lung ventilation image sequence, and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback index.
2. The method according to claim 1, wherein the triggering of the diaphragm electrical stimulation according to the inspiration trigger timing, the acquiring of the stimulated second pulmonary ventilation image sequence, comprises: triggering diaphragm electrical stimulation according to the inspiration triggering time, inhibiting stimulation artifact through a multiple parallel mechanism in the stimulation process, and collecting a stimulated second lung ventilation image sequence; The multiple parallel mechanism comprises at least one of a time sequence shielding mechanism, an artifact template eliminating mechanism and a wavelet domain noise suppressing mechanism, wherein the time sequence shielding mechanism is used for suspending human chest impedance data acquisition according to a preset time length before stimulation and delaying sampling recovery according to the preset time length after stimulation so as to avoid stimulation signal interference, the artifact template eliminating mechanism is used for generating reverse compensation signals based on known electric stimulation emission waveforms so as to counteract power frequency and motion artifacts of a receiving end, and the wavelet domain noise suppressing mechanism is used for executing wavelet threshold filtering on ventilation signals and image pixel changes so as to correct signal distortion during stimulation.
3. The method according to claim 1, wherein determining the inspiration trigger timing of the next cycle according to the respiratory cycle key point comprises: determining phase offset corresponding to the cycle length of the latest N historical respiratory cycles and each respiratory cycle key point; obtaining a predicted period length by calculating the average value of the N historical respiratory periods, and adaptively estimating a predicted phase drift amount; And calculating the inspiration triggering time of the next period based on the predicted period length, the predicted phase drift amount and the end expiration time of the last historical breathing period.
4. The method according to claim 3, wherein the calculating the inspiration trigger timing of the next cycle based on the predicted cycle length, the predicted phase drift amount, and the end expiration time of the last historical breath cycle includes: Inhalation trigger timing of next cycle = end-of-expiration time of last historical respiratory cycle + predicted cycle length-predicted phase drift-preset pre-trigger time; The preset triggering time is an advanced triggering time length for enabling the contraction of the diaphragm to be matched with the natural inspiration action synchronously.
5. The method of claim 1, wherein the acquiring human chest impedance data by electrical impedance tomography comprises: the method comprises the steps of taking a first electrode pair as an excitation electrode pair, applying a high-frequency constant-current excitation signal to the chest of a human body, taking a second electrode pair as an acquisition electrode pair, and acquiring a differential voltage response signal modulated by the impedance of the chest of the human body; According to a preset electrode rotation strategy, taking the third electrode pair as an excitation electrode pair, taking the fourth electrode pair as an acquisition electrode pair, entering a next measurement time slot, and repeating the operation of applying an excitation signal and acquiring a response signal; the first electrode pair and the second electrode pair are different electrode pairs, and the third electrode pair and the fourth electrode pair are different electrode pairs.
6. The method of claim 1, wherein the extracting a ventilation effect feedback indicator from the second sequence of pulmonary ventilation images and adaptively adjusting the diaphragmatic electrical stimulation parameters according to the ventilation effect feedback indicator comprises: Extracting ventilation effect feedback indexes from the second lung ventilation image sequence, wherein the ventilation effect feedback indexes comprise at least one of maximum lung ventilation increase, left and right lung ventilation balance, lung ventilation area, expansion degree improvement rate and breathing cycle matching degree; according to a preset index threshold value and parameter adjustment mapping relation, comparing the ventilation effect feedback index with a preset threshold value; If the ventilation effect feedback index does not reach the preset threshold, the diaphragm electrical stimulation parameter is positively adjusted according to the preset step length, if the ventilation effect feedback index exceeds the preset threshold, the diaphragm electrical stimulation parameter is reversely adjusted according to the preset step length, if the ventilation effect feedback index is within the preset threshold, the current diaphragm electrical stimulation parameter is kept unchanged; Wherein the diaphragmatic electrical stimulation parameters comprise at least one of stimulation current intensity, stimulation pulse width, stimulation frequency and stimulation waveform.
7. The diaphragmatic muscle stimulation control device is characterized by comprising an acquisition module and a processing module; the acquisition module is used for acquiring human chest impedance data through an electrical impedance tomography technology; The processing module is used for constructing a first lung ventilation image sequence according to the chest impedance data of the human body, extracting a global ventilation curve from the first lung ventilation image sequence, and determining a respiratory cycle key point according to the global ventilation curve, wherein the respiratory cycle key point comprises at least one of an inhalation starting point, an inhalation peak point, an exhalation starting point and an exhalation end point; The acquisition module is used for acquiring a stimulated second lung ventilation image sequence; The processing module is used for extracting ventilation effect feedback indexes from the second lung ventilation image sequence and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback indexes.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the diaphragm stimulation control method of any of claims 1 to 6 when the computer program is executed.
9. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the diaphragm stimulation control method according to any of claims 1 to 6.
10. A computer program product comprising a computer program which, when executed by a processor, implements a diaphragm stimulation control method as claimed in any one of claims 1 to 6.

Description

Diaphragm stimulation control method, device, apparatus, storage medium and program product Technical Field The application relates to the technical field of respiratory medicine monitoring, in particular to a diaphragm stimulation control method, a device, equipment, a storage medium and a program product. Background In the field of respiratory medicine treatment, for patients with respiratory dysfunction, respiratory assistance is often required by diaphragm stimulation technology to improve lung ventilation efficiency and ensure stable respiratory function. The existing diaphragm stimulation system mainly relies on an airflow sensor, a chest belt pressure sensor and the like to acquire respiration related signals so as to trigger stimulation actions. However, the airflow sensor needs to be connected with the airway, the noninvasive treatment scene cannot be adapted, the chest strap pressure sensor has limited measurement precision, the key respiratory phases such as an inhalation starting point, an exhalation peak value and the like are difficult to accurately identify, the conventional system lacks a real-time feedback mechanism for the stimulation effect, the stimulation parameters cannot be dynamically adjusted according to the actual ventilation condition of a patient, and the adaptability is low. Disclosure of Invention The application mainly aims to provide a diaphragm stimulation control method, device, equipment, storage medium and program product, which can realize noninvasive accurate respiratory phase identification and self-adaptive adjustment of stimulation parameters and improve the synchronization, safety and treatment effect of diaphragm stimulation. In order to achieve the aim, the first aspect of the application provides a diaphragm stimulation control method, which comprises the steps of acquiring human chest impedance data through an electrical impedance tomography technology, constructing a first lung ventilation image sequence according to the human chest impedance data, extracting a global ventilation curve from the first lung ventilation image sequence, determining a respiratory cycle key point according to the global ventilation curve, wherein the respiratory cycle key point comprises at least one of an inhalation starting point, an inhalation peak point, an exhalation starting point and an exhalation end point, determining the inhalation trigger time of the next cycle according to the respiratory cycle key point, triggering diaphragm electrical stimulation according to the inhalation trigger time, acquiring a stimulated second lung ventilation image sequence, extracting a ventilation effect feedback index from the second lung ventilation image sequence, and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback index. The diaphragm stimulation control method includes the steps of triggering diaphragm electrical stimulation according to the inspiration triggering time, collecting a stimulated second lung ventilation image sequence, triggering diaphragm electrical stimulation according to the inspiration triggering time, restraining stimulation artifacts through a multiple concurrence mechanism in the stimulation process, and collecting the stimulated second lung ventilation image sequence, wherein the multiple concurrence mechanism comprises at least one of a time sequence shielding mechanism, an artifact template eliminating mechanism and a wavelet domain noise restraining mechanism, the time sequence shielding mechanism is used for suspending human chest impedance data collection according to a preset duration before stimulation and delaying sampling according to the preset duration after stimulation so as to avoid stimulation signal interference, the artifact template eliminating mechanism is used for generating reverse compensation signals based on known electrical stimulation emission waveforms so as to offset power frequency and motion artifacts of a receiving end, and the wavelet domain noise restraining mechanism is used for executing wavelet threshold filtering on ventilation signals and image pixel changes so as to correct signal distortion during stimulation. The diaphragm muscle stimulation control method includes the steps of determining phase offset corresponding to each respiratory cycle key point in cycle length of N last historical respiratory cycles according to the respiratory cycle key points, obtaining a predicted cycle length through calculating means of the N historical respiratory cycles, adaptively estimating the predicted phase offset, and calculating the inhalation trigger time of the next cycle based on the predicted cycle length, the predicted phase offset and the end expiration time of the last historical respiratory cycle. According to the diaphragm stimulation control method provided by the application, the inspiration trigger time of the next period is calculated based on the predicted period