PERSONALIZED PATIENT CARE WITH AI-ASSISTIVE PHYSIOTHERAPY BED: REVOLUTIONIZING REHABILITATION AND RECOVERY

Abstract

This invention provides an AI-assisted physiotherapy bed that customizes therapy based on real-time sensor data. Integrating motion, pressure, EMG, and biometric sensors, the bed continuously adapts to patient needs, enhancing rehabilitation outcomes. With dynamic adjustments and safety features, this innovation offers a high-quality, adaptive therapy experience suitable for both clinical and home use.

Specification

Description:FIELD OF THE INVENTION
This invention relates to healthcare technology, specifically focusing on an AI-assisted physiotherapy bed designed to enhance personalized rehabilitation and recovery. Integrating artificial intelligence with advanced sensor technology, this invention provides tailored therapy through real-time adjustments, optimizing support and exercise intensity based on patient data for musculoskeletal and mobility disorder recovery.
BACKGROUND OF THE INVENTION
Traditional physiotherapy relies heavily on the expertise of therapists and lacks the ability to dynamically adjust during treatment. Without real-time modification, patients may struggle to maintain proper posture or may engage in exercises unsuitable for their current physical state. These limitations are exacerbated in home-based rehabilitation, where professional oversight is minimal, leading to uncoordinated progress or incorrect exercise execution. There is a demand for a technology-driven solution that can provide customized, adaptive therapy without constant manual intervention. This invention addresses these challenges by introducing an AI-based physiotherapy bed equipped with sensors that monitor patient activity, muscle engagement, and vital signs. By making real-time adjustments to factors like bed angle and firmness, the system offers an individualized, safe, and effective rehabilitation experience. Ideal for post-surgical recovery, chronic pain management, and sports injury rehabilitation, this invention bridges the gap between clinical physiotherapy and home care, enhancing patient outcomes through continuous adaptation.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The invention provides an AI-powered physiotherapy bed that integrates motion, pressure, EMG, and biometric sensors to enable personalized patient care. The bed dynamically adjusts its parameters, such as angle and support, to align with the patient's progress and comfort needs. The AI system evaluates sensor data in real time, modifying therapy protocols by increasing intensity or altering positioning based on muscle engagement and vital sign readings. Additional features include emergency alert systems that notify caregivers if patient distress indicators are detected. This technology-driven solution facilitates rehabilitation for various conditions, allowing patients to experience high-quality, adaptive therapy in both clinical and home environments.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: ILLUSTRATES THE AI-ASSISTED PHYSIOTHERAPY BED'S FRAME AND SENSOR LAYOUT, HIGHLIGHTING THE INTEGRATION OF MOTION, PRESSURE, AND BIOMETRIC SENSORS.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Personalized Patient Care with AI-Assistive Physiotherapy Bed is an innovative rehabilitation device designed to enhance therapy outcomes through adaptive technology. Built with a lightweight, adjustable frame, the bed is embedded with sensors that monitor various aspects of patient activity and physiological state. The sensors include accelerometers and gyroscopes for tracking movement, pressure sensors to assess weight distribution, EMG sensors to gauge muscle engagement, and biometric sensors to record vital signs like heart rate, temperature, and oxygen saturation. These sensors collect data continuously, enabling the AI system to analyze patient progress and make therapeutic adjustments in real time.
The AI component utilizes machine learning algorithms to understand patterns in the patient's movement, adjusting bed settings accordingly. For instance, if a patient exhibits improved strength, the system may increase exercise intensity to facilitate gradual progression. Conversely, if the system detects signs of strain or fatigue, it will modify the therapy to prevent overexertion. The bed's surface adjusts in response to pressure, conforming to the patient's body to enhance comfort and reduce the risk of pressure sores.
The physiotherapy bed includes an intuitive user interface, displaying real-time data for both patients and healthcare providers. This interface allows caregivers to monitor recovery progress, adjust settings, and access exercise recommendations. The system's emergency alert feature adds a layer of safety, notifying caregivers when a patient's vital signs exceed predefined thresholds. Designed for both home and clinical use, this AI-driven physiotherapy bed facilitates high-quality, customized rehabilitation, promoting safe, independent recovery for patients.
, Claims:1. An AI-assisted physiotherapy bed comprising sensors for monitoring motion, pressure, EMG, and biometric parameters, designed to provide personalized rehabilitation therapy.
2. The bed as claimed in Claim 1, wherein the AI system dynamically adjusts bed parameters such as angle and firmness in real time, based on data received from the sensors.
3. The bed as claimed in Claim 1, wherein EMG sensors monitor muscle engagement, enabling therapy adjustments based on patient progress.
4. The bed as claimed in Claim 1, wherein biometric sensors track vital signs, including heart rate, temperature, and oxygen saturation, ensuring safe therapy sessions.
5. The bed as claimed in Claim 1, further comprising an emergency alert system that notifies caregivers upon detection of abnormal vital sign readings or patient distress.
6. The bed as claimed in Claim 1, wherein an intuitive user interface provides real-time monitoring and therapy adjustment options for patients and healthcare providers.
7. A method for delivering adaptive physiotherapy as claimed in Claim 1, involving AI-based real-time adjustments to therapy intensity and bed positioning based on patient data.
The bed as claimed in Claim 1, designed to facilitate rehabilitation for conditions such as post-surgical recovery, chronic pain, and sports injuries, supporting both clinical and home-based therapy.

8. The bed as claimed in Claim 1, designed to facilitate rehabilitation for conditions such as post-surgical recovery, chronic pain, and sports injuries, supporting both clinical and home-based therapy.

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