Wearable device equipped with artificial intelligence for multiparametric monitoring and prevention of pressure ulcers and thromboembolic events

Abstract

The present invention relates to a wearable device intended for the field of healthcare, more specifically for the continuous monitoring of vital signs and for the prevention of pressure ulcers, deep vein thrombosis (DVT) and pulmonary embolism (PE) in bedridden patients or patients with reduced mobility. The device comprises a garment equipped with sensors that monitor an electrocardiogram (ECG), respiratory rate, temperature, oximetry, arterial blood pressure, blood leakage, and glucose levels. A system of anatomical air pockets automatically adjusts the pressure in critical areas of the body so as to redistribute the pressure exerted on critical points susceptible to the formation of sores and on points prone to the formation of blood clots.

Description

[0001] "Wearable device with artificial intelligence for multiparameter monitoring, prevention of pressure ulcers and thromboembolic events"

[0002]

[0001] The present invention relates to the field of wearable health devices, specifically aimed at the continuous monitoring of physiological signals and the prevention of complications associated with mobility, such as pressure ulcers, deep vein thrombosis (DVT), and pulmonary embolism (PE). Furthermore, the device integrates functionalities to monitor postural orientation and accumulated time in critical positions, providing personalized data for preventive interventions. This device is applicable in hospital settings, home care, and medical transport, providing preventive and adaptable care.

[0003]

[0002] In the state of the art, there are specific devices for monitoring physiological signals and preventing pressure ulcers, such as smart inflatable mattresses, represented by patent US11259742B2. This mattress automatically adjusts pressure based on sensors that monitor contact, redistributing pressure to prevent bedsores. However, this technology is restricted to hospital beds, which limits patient mobility and adaptability.

[0004]

[0003] Another solution described in the prior art includes wearable devices, as described in document EP3295871A1, which monitor body pressure to redistribute pressure. However, these devices do not integrate the monitoring of various specific signals nor do they use artificial intelligence for real-time data analysis, limiting themselves to pressure control.

[0005]

[0004] Additional patents, such as US10226187B2, feature acoustic sensors and accelerometers to monitor pressure drop risks in critical areas, but lack integration with advanced predictive analytics. Furthermore, systems like the one described in patent US10729357B2 detail postural monitoring methods with calculations based on accumulated orientation, but do not contemplate active pressure redistribution controlled by artificial intelligence.

[0006]

[0005] The present invention overcomes the limitations of existing technologies by integrating multiparameter sensors, an anatomical pressure redistribution system, postural monitoring, and real-time predictive analytics with artificial intelligence. This unique combination offers a mobile and comprehensive solution suitable for hospital, home, and medical transport environments.

[0007]

[0006] The attached figures illustrate the wearable device designed for multiparametric monitoring of signs found and prevention of pressure ulcers, deep vein thrombosis (DVT), and pulmonary embolism (PE) in patients with reduced mobility. The images show the device from different angles and highlight its main functionalities, such as the ergonomic closure, anatomical adjustments, and specific areas for sensor insertion.

[0008]

[0007] Figure 1 shows a front view of the wearable device, highlighting the front closure and anatomical body coverage.

[0009]

[0008] Figure 2 shows a rear view of the device, emphasizing the ergonomic positioning of the openings along the back and legs.

[0010]

[0009] Figure 3 illustrates a detail of the ankle area, facilitating the adjustment and removal of the garment.

[0011]

[0010] Figure 4 shows the rear view of the device, showing the closure at the back and pelvic region. [Oil] Figure 5 shows an isometric view of the device, highlighting the front control panel and compact design.

[0012]

[0012] Figure 6 illustrates the exploded view showing the main components of the device, including the storage compartment, the base, and the control panel.

[0013]

[0013] The present invention solves a gap in the prior art by offering a mobile wearable device that integrates multiparametric monitoring of specific signals with artificial intelligence to detect critical clinical situations and prevent complications such as pressure ulcers, deep vein thrombosis (DVT), and pulmonary embolism (PE). The device's mobility allows its use in varied environments such as hospitals, home care, and medical transport, ensuring continuity of preventive care without patient transport restrictions. This device should integrate artificial intelligence to personalize preventive treatment without the need for continuous manual intervention.

[0014]

[0014] The technical solution consists of a mobile wearable device that continuously monitors specific signals, such as: electrocardiogram (ECG), respiratory rate, temperature, oximetry, glucose, blood leakage, and blood pressure. The device uses artificial intelligence to process the data in real time, allowing for the early detection of critical clinical situations and the issuance of automatic alerts to prevent complications such as pressure ulcers and thromboembolic events. It uses a system of anatomical air bags for pressure redistribution in critical areas of the body, controlled by an electronic system that automatically adjusts the preventive treatment settings based on the patient's physiological conditions. A wireless data transmission system ensures remote monitoring, allowing data to be accessible for real-time follow-up.

[0015]

[0015] The wearable device consists of a smart garment equipped with various integrated sensors that continuously monitor specific patient signals. Each sensor has specific characteristics, adapted to different monitoring needs: Electrocardiogram (ECG) and Respiratory Rate: a 5- to 10-lead ECG cable is used to capture the electrocardiogram and monitor the patient's respiratory rate. Oximetry: an oximetry sensor cable measures the percentage of oxygen in the blood, essential for assessing the patient's respiratory condition. Temperature: a temperature sensor cable monitors the surface temperature of the skin, allowing for the monitoring of fevers or hypothermia. Non-Invasive Blood Pressure: a set of cuffs allows for non-invasive blood pressure measurement, adaptable to adult, pediatric, infant, and neonatal patients.Glucose and Blood Leak Detection: a specific sensor measures glucose levels and detects blood leaks, aiding in the monitoring of patients with chronic conditions such as diabetes.

[0016]

[0016] The device includes a system of anatomically shaped air bags, strategically positioned in critical areas of the body such as the heels, ankles, elbows, hips, coccyx, and legs. These bags are made of biocompatible material and inflate and deflate automatically according to specific pressure data and signals. This adjustment is made according to the patient's physical condition and weight, providing personalized pressure redistribution. The personalization is defined by healthcare professionals and can be continuously adjusted.

[0017] The artificial intelligence (AI) device module is embedded in the process of real-time sensor data. The AI ​​software uses this data to create a digital avatar of the patient, which visually represents the patient's clinical state and displays potential anomalies. The AI ​​is capable of issuing automatic alerts to healthcare professionals if intervention is deemed necessary.

[0017]

[0018] Data transmission occurs via cables, wirelessly, or Bluetooth; in remote use cases, via the internet. In transport scenarios (such as ambulances and aircraft), satellite transmission is used. The monitored data is stored on the multiparameter monitor itself and / or on a cloud platform with encryption to ensure the security of patient information.

[0018]

[0019] The device's sheath is made of materials that offer durability, flexibility, and safety for prolonged skin contact, in addition to being biocompatible. The choice of material contributes to patient comfort and monitoring efficiency.

[0019]

[0020] The device can be powered by either alternating current or direct current. The power source ensures uninterrupted operation of the device during monitoring, whether in fixed locations or during transport.

[0020]

[0021] The device was designed for use in hospitals, home care, and emergency transport, such as ambulances and aircraft. During transport, the monitored data is sent to the destination hospital, allowing a medical team to track the patient's condition in real time and prepare for the necessary care upon arrival.

[0021]

[0022] During the development of the device, one of the main challenges was temperature control during prolonged use. This challenge was overcome with the implementation of a continuous airflow system, which maintains a stable temperature and ensures patient comfort and safety.

[0022]

[0023] The device includes a wireless transmission module, which can operate via Bluetooth or Wi-Fi, allowing the data from the supplied signals to be sent to a multiparameter monitor or stored on a secure cloud platform, where it is available for remote monitoring by healthcare professionals.

[0023]

[0024] The device was designed to operate in both hospitals and home care settings, offering mobility and enabling continuous monitoring in various situations, including the transport of patients in ambulances.

[0024]

[0025] In a hospital setting, a patient in an Intensive Care Unit (ICU) uses the device to monitor specific vital signs and prevent pressure ulcers, deep vein thrombosis (DVT), and pulmonary embolism (PE). AI processes the sensor data and creates an avatar so that healthcare professionals can observe the patient's clinical data. The medical team monitors the data and receives automatic alerts if changes occur in the specific vital signs.

[0025]

[0026] In a home setting, the device allows the patient to receive continuous monitoring. AI processes the sensor data and creates an avatar so that healthcare professionals can observe the patient's clinical data and be notified in case of anomalies. In high-risk cases, early interventions will be possible.

[0026]

[0027] During ambulance transport, the device continues to monitor the patient's vital signs. The data is transmitted to the destination hospital in real time, allowing a care team to prepare appropriate interventions or ensure immediate support in case of changes in specific vital signs received.

Claims

CLAIMS 1. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETER MONITORING, PREVENTION OF PRESSURE ULCER AND THROMBOEMBOLIC EVENTS” characterized by comprising: (a) integrated multiparameter sensors for continuous monitoring of physiological signals, including electrocardiogram (ECG), respiratory rate, temperature, oximetry, blood pressure, blood leakage and glucose levels; (b) a system of manually adjustable anatomical air bags, designed for pressure redistribution in critical areas of the body according to data captured by the sensors and the patient's physical condition; (c) an artificial intelligence module configured to perform predictive analysis based on signals captured in real time, allowing the prediction of the onset of pressure ulcers, deep vein thrombosis (DVT) and pulmonary embolism (PE);and (d) a transmission system for sending data in real time to a multiparameter monitor and a cloud storage system with automatic alerting.; 2. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETRIC MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by the artificial intelligence module creating a digital avatar that visually represents the patient's clinical state, allowing the identification of risk areas and assisting in real-time clinical decision-making.

3. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETER MONITORING, PREVENTION OF PRESSURE ULCER AND EVENTS "THROMBOEMBOLIC", according to claim 1, characterized by the air bag system being configured for pressure redistribution in critical anatomical areas such as heels, ankles, hips and coccyx, controlled independently, with customized pressure adjustment in each air bag, according to the specific data of each body area.

4. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETRIC MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by including a temperature control module that maintains a stable temperature through a continuous airflow, ensuring patient comfort and safety during prolonged use.

5. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETRIC MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by including sensors for detecting blood leakage and monitoring glucose, providing additional support in monitoring patients with specific conditions.

6. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETRIC MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by a data transmission module capable of sending and receiving data via cables, Bluetooth or the internet, allowing patient monitoring in various environments, including hospitals, ambulances and home care.

7. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETER MONITORING, "PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS", according to claim 1, characterized by the creation of an interactive digital avatar that displays the patient's clinical status, as a tool to assist healthcare professionals.

8. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETER MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by being compatible with different power modes, being able to be powered by both alternating current and direct current.

9. “WEARABLE DEVICE WITH ARTIFICIAL INTELLIGENCE FOR MULTIPARAMETRIC MONITORING, PREVENTION OF PRESSURE ULCERS AND THROMBOEMBOLIC EVENTS”, according to claim 1, characterized by being designed for mobile use in varied environments, including hospitals, home care and medical transport, ensuring continuous monitoring and prevention of complications without restricting patient mobility.

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