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CN-121987150-A - Split flexible wearable sleep respiration monitoring system

CN121987150ACN 121987150 ACN121987150 ACN 121987150ACN-121987150-A

Abstract

The invention discloses a split type flexible wearable sleep respiration monitoring system which comprises an upper computer, and a flexible respiration activity monitoring patch, a flexible ECG monitoring patch and a PPG monitoring module which are connected with the upper computer in a wireless mode, wherein the flexible respiration activity monitoring patch is composed of a battery, and a strain sensing unit, a temperature sensing module, a triaxial gyroscope and a communication module which are connected with the battery. The strain sensing unit adopts a PDMS substrate with the Shore hardness of 10-20A and the thickness of 0.5-2mm and a metal conducting layer with specific parameters, is matched with the lightweight design with the weight of single patch being less than 12g, has good biocompatibility and no foreign matter feeling, has the adhesion force being continuously more than or equal to 24 hours, can meet the long-term home monitoring requirement, simultaneously determines the core component selection standard, avoids the problem of insufficient flexibility of integrated design, and ensures the working consistency and reliability of equipment.

Inventors

  • Zha Xiangjun
  • CHEN PENG
  • LIU YING
  • ZHOU YANG
  • ZHOU HONG

Assignees

  • 成都市第三人民医院

Dates

Publication Date
20260508
Application Date
20260205

Claims (9)

  1. 1. The split type flexible wearable sleep respiratory monitoring system is characterized by comprising an upper computer (1), and a flexible respiratory degree monitoring patch (2), a flexible ECG monitoring patch (3) and a PPG monitoring module (4) which are connected with the upper computer (1) in a wireless mode, wherein the flexible respiratory degree monitoring patch (2) is composed of a battery (21), a strain sensing unit (22), a temperature sensing module (23), a triaxial gyroscope (24) and a communication module (25) which are connected with the battery (21), the strain sensing unit (22), the temperature sensing module (23) and the triaxial gyroscope (24) are connected with the communication module (25), the flexible ECG monitoring patch (3) is composed of an MCU (31), a signal conditioning chip (32) which is connected with the MCU (31) and a hydrogel electrode (33) which is connected with the signal conditioning chip (32), and the PPG monitoring module (4) is composed of a signal processing chip (41), and a light source (42) and a light detector (43) which are connected with the signal processing chip (41).
  2. 2. The split flexible wearable sleep respiratory monitoring system of claim 1 wherein the strain sensing unit (22) is comprised of a PDMS substrate and a metallic conductive layer disposed on the PDMS substrate.
  3. 3. The split type flexible wearable sleep respiration monitoring system is characterized in that the PDMS substrate has the Shore hardness of 10-20A and the thickness of 0.5-2mm, and the metal conductive layer is prepared by adopting conductive ink such as silver paste ink with preset viscosity or liquid metal with preset melting point through ink-jet printing.
  4. 4. The split flexible wearable sleep respiratory monitoring system according to claim 1, wherein the number of the flexible respiratory activity monitoring patches (2) is more than 3, and the weight of each flexible respiratory activity monitoring patch (2) is less than 12g and the adhesion is continuously more than or equal to 24h.
  5. 5. The split type flexible wearable sleep respiratory monitoring system according to any one of claims 1 to 4, further comprising a cloud AI analysis platform (5), wherein the cloud AI analysis platform (5) is used for supporting multiuser management, data encryption storage, historical trend analysis, report export and data interaction with an ICU ventilator (6) outside the system, and data acquired by the flexible respiratory activity monitoring patch (2), the flexible ECG monitoring patch (3) and the PPG monitoring module (4) are transmitted to the cloud AI analysis platform (5) after passing through the upper computer (1).
  6. 6. The split flexible wearable sleep respiratory monitoring system of claim 5, further comprising an AI algorithm embedded in the cloud AI analysis platform (5), the AI algorithm comprising a sleep respiratory disorder diagnostic AI algorithm, a ventilator dyssynchrony assessment algorithm, and a respiratory slowness rehabilitation assessment algorithm.
  7. 7. The split flexible wearable sleep respiratory monitoring system of claim 6, wherein the AI algorithm adopts 8-bit fixed point quantization and lightweight deployment, the end-side local reasoning delay is less than or equal to 80ms, and artifact is removed by a triaxial gyroscope body motion recognition and ECG/PPG signal quality evaluation dual mechanism, and the robustness in a complex environment is more than or equal to 88%.
  8. 8. The split flexible wearable sleep respiratory monitoring system as claimed in claim 6, characterized in that, the communication module (25) supports bluetooth, wi-Fi and intra-hospital network communication protocols, and can realize real-time data synchronization with the ICU ventilator (6).
  9. 9. The split flexible wearable sleep respiratory monitoring system as claimed in claim 5, characterized in that, the flexible respiratory activity monitoring patch (2) and the flexible ECG monitoring patch (3) are provided with sweat-proof and water-proof packaging structures.

Description

Split flexible wearable sleep respiration monitoring system Technical Field The invention belongs to the technical field of medical instruments, and particularly relates to a split flexible wearable sleep and respiration monitoring system suitable for home, basic-level medical treatment and ICU scenes. Background Sleep Disordered Breathing (SDB) is taken as a chronic disease with high incidence of the old population, and the patient population in China reaches about 1.76 hundred million, but the clinical diagnosis rate is less than 10%, and the disease prevention and control situation is severe. The traditional diagnosis means depend on Polysomnography (PSG) equipment, the equipment needs to be deployed with more than 20 leads in a hospital, the operation flow is complex, the wearing comfort is extremely poor, the equipment cost is up to 30-100 ten thousand yuan, the equipment is difficult to popularize in basic medical institutions and home scenes, and the early screening and intervention of SDB are severely limited. The existing wearable monitoring equipment is not suitable for ICU scenes, the man-machine asynchronous monitoring requirements of noninvasive/invasive ventilator patients cannot be met, the illness state of the ICU patients is critical, the respiratory rhythm is unstable, multiple equipment such as a ventilator and a monitor are required to be simultaneously connected, the existing equipment has the defects of incompatible communication protocols, weak anti-interference capability, insufficient biocompatibility (the patients with damaged skin cannot be adapted), algorithms are not optimized for the ICU patients, and the like, so that the man-machine asynchronous monitoring accuracy is low, and the auxiliary clinical adjustment of the parameters of the ventilator is difficult. The existing wearable sleep respiratory monitoring equipment breaks through the scene limitation of PSG equipment to a certain extent, but has the technical defects that firstly, a sensor is made of rigid materials, foreign body sensation is strong when being worn, long-term monitoring is easy to cause skin discomfort, the core requirement of long-term continuous monitoring at home cannot be met, secondly, the monitoring parameters are single, most of the monitoring parameters focus only on respiratory or electrocardiosignals, synchronous acquisition and fusion analysis capability on multi-mode data such as respiratory motility, sleeping position, body surface temperature, ECG (electro-magnetic resonance), PPG (pulse-taking) and the like is lacking, the coupling abnormal state of a respiratory-circulatory system is difficult to comprehensively evaluate, thirdly, the AI algorithm lacks targeted optimization, physiological differences of different groups such as old chronic patients, high-altitude people and the like are not fully considered, the diagnosis and evaluation precision is limited, fourthly, the equipment is designed integrally, the flexibility is insufficient, the core components are not clear standard in shape, the stability and consistency of the equipment are poor, the reliability of clinical application is influenced, the upper computer function is not perfect, the data visualization effect, the parameter configuration operation is complicated, the unified hardware adaptation standard is lacked, the AI algorithm is lack of the standard, the clinical application is difficult to evaluate the respiratory system is difficult to synchronously, the respiratory system is difficult to evaluate, the respiratory system is difficult to monitor, the respiratory system has the practical requirements, and has the clinical application is difficult to monitor, and has the respiratory system has high clinical requirements. In addition, the performance of the existing equipment in terms of component biocompatibility, endurance capacity, data transmission stability and the like cannot completely meet the strict requirements of clinical monitoring. Therefore, research and development of a split type wearable sleep and respiration monitoring device with flexible and comfortable wearing experience, multi-parameter fusion monitoring capability, personalized algorithm adaptation, clear component selection standard and multi-scene application suitability is urgent in order to improve SDB diagnosis rate, optimize treatment effect of a respirator and aid breathing slow disease rehabilitation management. Disclosure of Invention The invention aims to overcome the technical defects that the existing wearable sleep respiration monitoring equipment is poor in component biocompatibility, cruising ability, data transmission stability and the like and cannot completely meet the strict requirements of clinical monitoring, and provides split type flexible wearable sleep respiration monitoring equipment and a monitoring system thereof. The split type flexible wearable sleep respiration monitoring system comprises an upper computer, a flexible r