An intelligent rehabilitation compliance and monitoring system for home physiotherapy

Abstract

An intelligent rehabilitation adherence and monitoring system (100) for home physiotherapy, comprising: (a) an intelligent sensing and motion tracking module configured to capture real-time motion data of a user during physiotherapy exercises using body-worn sensors and / or computer vision technology; (b) an intelligent exercise recognition and error detection module operatively connected to the acquisition module and configured to classify exercise types and detect deviations in movement patterns using machine learning algorithms; (c) a real-time feedback and coaching module configured to provide the user with corrective guidance and motivational cues based on the recorded performance; (d) a compliance monitoring and behavioral analysis module configured to assess compliance, generate compliance metrics and analyze behavioral trends; (e) a secure data logging and cloud integration module configured to store, encrypt and transmit performance data to a remote server in compliance with healthcare data protection standards; (f) a clinical dashboard and remote monitoring module configured to enable healthcare providers to monitor patient progress and adjust therapy regimens remotely; and (g) a personalisation and adaptive therapy module configured to dynamically modify therapy plans based on user-specific performance data and clinical inputs.

Description

[0001] The present invention relates to an intelligent rehabilitation and monitoring system for home physical therapy. It specifically addresses the need for remote monitoring, evaluation, and improvement of rehabilitation practitioners' adherence to prescribed rehabilitation exercises. The invention integrates intelligent sensing, real-time feedback, and data-driven insights to facilitate recovery outside of clinical settings.

[0002] Home-based physical therapy has become an increasingly important component of patient recovery, particularly for those with mobility issues, chronic conditions, or rehabilitation needs following surgery. While it offers the advantage of allowing exercises to be performed at home without the need for frequent hospital visits, it also presents significant challenges when it comes to ensuring patient compliance and correct execution of therapeutic exercises. Many patients struggle to stay motivated, consistently perform the prescribed exercises, or execute the movements correctly, which can delay recovery or cause further complications.

[0003] Traditional methods for monitoring home rehabilitation rely heavily on patient self-reports and occasional follow-up appointments, which are often insufficient to provide accurate insights into patient progress. This lack of real-time visibility and feedback makes it difficult for healthcare providers to assess therapy effectiveness, detect deviations, or make timely adjustments. Furthermore, without continuous engagement and guidance, patients may become unmotivated, leading to poor treatment adherence and suboptimal recovery outcomes.

[0004] To address these challenges, there is a clear need for a smart, technology-enabled solution that enables remote, real-time monitoring and personalized feedback for home-based physical therapy. Such a system must combine smart sensors, data analytics, and adaptive user interfaces to ensure accurate tracking of exercise performance, promote patient engagement, and provide actionable insights to clinicians. The present invention aims to fill this gap by providing a comprehensive smart rehabilitation adherence monitoring system that improves the effectiveness and accountability of home-based therapy programs.

[0005] An object of the present disclosure is to enable accurate real-time monitoring of physical therapy exercises at home.

[0006] Another goal of this disclosure is to improve patient compliance through interactive feedback and engagement tools.

[0007] Another objective of the present disclosure is to reduce the need for frequent in-person visits to the clinic.

[0008] Another object of the present disclosure is to detect and correct incorrect movements to avoid injuries.

[0009] Another objective of the present disclosure is to provide healthcare providers with remote monitoring and actionable insights.

[0010] Another objective of the present disclosure is to ensure the secure storage and transmission of sensitive health data.

[0011] Another objective of the present disclosure is to personalize therapy plans based on individual progress and needs.

[0012] Another objective of this disclosure is to increase the efficiency of rehabilitation and accelerate the patient’s recovery.

[0013] The present invention relates to an intelligent rehabilitation monitoring and adherence system designed to support home physical therapy. It combines intelligent sensing, motion tracking, and data analysis to ensure correct exercise execution and improve patient recovery outcomes.

[0014] Another embodiment of the present invention is the Smart Sensing and Motion Tracking Module, which captures the user's movements in real time using body-worn sensors or computer vision tools. This ensures accurate tracking of joint movements, posture, and exercise repetitions without the need for personal supervision.

[0015] Another embodiment of the present invention is a module for intelligent exercise recognition and error detection that processes movement data using machine learning algorithms. It identifies the type of exercise being performed and detects incorrect movements, enabling automatic correction and reducing the risk of injury.

[0016] Another embodiment of the present invention is that the system includes a real-time feedback and coaching module that provides immediate feedback through visual, audible, or haptic signals. This guides users during exercises and maintains motivation through virtual, real-time coaching.

[0017] Another embodiment of the present invention is the Therapy Adherence Monitoring and Behavior Analytics module, which analyzes user behavior, therapy adherence, and engagement patterns. It generates progress reports and personalized insights to optimize therapy effectiveness and promote consistency.

[0018] In another embodiment of the present invention, all data is managed by a secure data logging and cloud integration module that encrypts and stores user performance data in compliance with medical privacy regulations. This supports remote access and long-term data retention.

[0019] Another embodiment of the present invention allows healthcare professionals to access patient progress via a clinical dashboard and a remote monitoring module. This enables real-time monitoring, alerts of critical deviations, and remote adjustments to the rehabilitation plan.

[0020] Another embodiment of the present invention is the Personalization and Adaptive Therapy Module, which adapts exercise programs based on patient performance, feedback, and clinical input. It ensures that therapy evolves with the patient's recovery, thus enabling fully adaptive rehabilitation.

[0021] The present invention relates to an intelligent rehabilitation monitoring and compliance system designed to support and enhance home physical therapy. It integrates multiple intelligent modules, including smart sensing and motion tracking to capture precise body movements, and intelligent exercise recognition and error detection to identify and correct incorrect forms. The system features a real-time feedback and coaching module to guide users during exercises and a compliance monitoring module to monitor adherence and behavior. Data is securely managed via a cloud integration module, while healthcare providers utilize the clinical dashboard for remote monitoring. A personalization module continuously adapts therapy plans based on patient performance, making rehabilitation more effective and user-centric.

[0022] Module for intelligent sensing and motion tracking: This module includes wearable or non-invasive sensor systems such as inertial measurement units (IMUs), computer vision cameras, or pressure sensors designed for the accurate capture of body movements during rehabilitation exercises. The sensors are strategically positioned on the patient's body or embedded in the exercise environment to capture joint angles, limb movements, range of motion, and repetitions in real time. The collected data is processed locally or via edge computing devices to ensure precise motion capture, even in bandwidth-limited environments. This module ensures that every movement is accurately recorded to assess compliance and provide feedback. Intelligent module for detecting exercises and errors: This module uses machine learning algorithms and biomechanical models to interpret the movement data collected by the sensor module. It classifies different types of physical therapy exercises and detects deviations or errors such as incorrect posture, incomplete repetitions, or unsafe movements. The system uses supervised learning trained on expert-reviewed exercise datasets to ensure high accuracy in detection and error detection. Real-time anomaly detection mechanisms provide immediate warnings or guidance for correcting unsafe movements, reducing the risk of injury and improving exercise effectiveness. Real-time feedback and coaching module: To increase patient engagement and ensure correct exercise execution, this module provides immediate, interactive feedback through visual, auditory, or haptic cues. It can be integrated into mobile apps, smart displays, or augmented reality (AR) headsets to provide a virtual trainer experience. The module guides the user through each exercise step, prompts corrections as needed, and confirms correct execution to increase motivation. This real-time feedback loop not only supports patient learning but also enhances the quality of rehabilitation outside of clinical supervision. Compliance monitoring and behavioral analysis module: This module is responsible for assessing patient adherence to prescribed therapy regimens. It tracks parameters such as frequency, duration, and consistency of training sessions and compiles the data into a compliance score. Behavioral analytics is used to identify patterns, such as declining participation or repeated errors, and gain insights into the patient's rehabilitation behavior. These insights help clinicians adjust interventions, send reminders, and dynamically change goals. The module can also include gamification features and progress indicators to motivate patients and maintain engagement over time. Module for secure data logging and cloud integration: All movement data, performance metrics, and compliance records are securely logged and transferred to a cloud-based system compliant with healthcare data privacy regulations such as HIPAA and GDPR. This module enables seamless data storage, backup, and sharing across multiple stakeholders, including patients, caregivers, and healthcare providers. Advanced encryption and access control mechanisms ensure patient data remains secure and confidential. The cloud infrastructure also enables cross-platform compatibility, allowing access via smartphones, tablets, or clinical dashboards. Clinical dashboard and remote monitoring module: Designed for healthcare providers, this module provides a centralized, intuitive interface for remotely monitoring the rehabilitation progress of multiple patients. It offers visual analytics, alerts for noncompliance or abnormal movement trends, and tools for adjusting therapy protocols based on real-time data. Clinicians can also send personalized feedback or schedule virtual follow-up visits. This remote monitoring feature bridges the gap between in-clinic care and home rehabilitation, ensuring continuity of care without the need for frequent in-person visits. Personalization and adaptive therapy module: This module uses AI-driven recommendation engines to customize therapy plans based on individual patient profiles, progress rates, and specific medical conditions. Through continuous learning from performance data and physician feedback, the system dynamically adjusts the intensity, complexity, and sequence of exercises. It also considers patient preferences, physical limitations, and motivating factors to provide a personalized and adaptive rehabilitation experience. This ensures optimal recovery outcomes while minimizing patient frustration and dropout rates.

[0023] The invention is explained again below with reference to the figure. It shows: Fig. : an intelligent rehabilitation and monitoring system (100) designed to support and improve home physiotherapy.

[0024] Fig.illustrates a smart rehabilitation and monitoring system (100) that functions through a seamless integration of multiple interconnected modules that work together to deliver smart, adaptive, and user-friendly physiotherapy at home. The process begins with the Smart Sensing and Motion Tracking Module, which captures the patient's movements in real time using body-worn sensors or camera-based systems. This data is passed on to the Smart Exercise Recognition and Error Detection Module, where machine learning algorithms classify the type of exercise performed and detect any postural or movement-related errors. At the same time, the Real-Time Feedback and Coaching Module supports the patient by providing immediate corrective feedback and motivational cues via visual or audio outputs.The training data is then evaluated by the Compliance Monitoring and Behavioral Analytics module, which assesses patient adherence, analyzes behavioral patterns, and generates progress reports. All collected information is securely stored and synchronized via the Secure Data Logging and Cloud Integration module, ensuring data privacy and cross-platform availability. Healthcare professionals access this data via the clinical dashboard and the Remote Monitoring module, which allows them to monitor progress, review flagged issues, and remotely adjust therapy regimens. Finally, the Personalization and Adaptive Therapy module dynamically adapts therapy plans based on the patient's performance trends, preferences, and recovery goals, making the system a fully automated and intelligent solution for remote physical rehabilitation.

Claims

[1] An intelligent rehabilitation adherence and monitoring system (100) for home physiotherapy, comprising: (a) an intelligent sensing and motion tracking module configured to capture real-time motion data of a user during physiotherapy exercises using body-worn sensors and / or computer vision technology; (b) an intelligent exercise recognition and error detection module operatively connected to the acquisition module and configured to classify exercise types and detect deviations in movement patterns using machine learning algorithms; (c) a real-time feedback and coaching module configured to provide the user with corrective guidance and motivational cues based on the recorded performance; (d) a compliance monitoring and behavioral analysis module configured to assess compliance, generate compliance metrics and analyze behavioral trends; (e) a secure data logging and cloud integration module configured to store, encrypt and transmit performance data to a remote server in compliance with healthcare data protection standards; (f) a clinical dashboard and remote monitoring module configured to enable healthcare providers to monitor patient progress and adjust therapy regimens remotely; and (g) a personalisation and adaptive therapy module configured to dynamically modify therapy plans based on user-specific performance data and clinical inputs. [2] The system (100) of claim 1, wherein the intelligent sensing and motion tracking module comprises inertial measurement units (IMUs) attached to at least two limbs of the user to measure joint angles and motion trajectories. [3] The system (100) of claim 1, wherein the intelligent exercise recognition and error detection module uses a neural network trained on labeled rehabilitation exercise data sets to detect incorrect forms and unsafe movements. [4] The system (100) of claim 1, wherein the real-time feedback and coaching module provides multimodal feedback, including visual cues via a mobile application, audio instructions, and haptic signals via wearable devices. [5] The system (100) of claim 1, wherein the compliance monitoring and behavior analysis module includes a gamification engine that awards points, badges, or rewards based on consistent and accurate exercise performance. [6] The system (100) of claim 1, wherein the secure data logging and cloud integration module supports end-to-end encryption and role-based access control to ensure the confidentiality and integrity of patient data. [7] The system (100) of claim 1, wherein the clinical dashboard and remote monitoring module displays real-time charts, alerts, and historical data trends to facilitate decision-making by healthcare providers. [8] The system (100) of claim 1, wherein the personalization and adaptive therapy module automatically adjusts exercise difficulty levels, number of repetitions, and rest periods based on ongoing performance analysis and physician feedback

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