[go: up one dir, main page]

Janagiraman et al., 2025 - Google Patents

AI-Powered Digital Twin for Fault Monitoring in Medical Exoskeleton

Janagiraman et al., 2025

Document ID
1749600491986215583
Author
Janagiraman S
Pragadeeshwari D
Sherica J
Publication year
Publication venue
2025 Third International Conference on Emerging Applications of Material Science and Technology (ICEAMST)

External Links

Snippet

Medical rehabilitation exoskeletons are susceptible to mechanical faults, joint failures, and misalignment, some of which can undermine patient safety as well as the effectiveness of the therapy outcome. Conventional monitoring techniques involve manual efforts, are time …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1124—Determining motor skills
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4528—Joints
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, E.G. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/50—Prostheses not implantable in the body
    • A61F2/68—Operating or control means
    • A61F2/70—Operating or control means electrical
    • A61F2002/704—Operating or control means electrical computer-controlled, e.g. robotic control
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0013—Medical image data

Similar Documents

Publication Publication Date Title
Hossain et al. Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach
US20220068458A1 (en) Artificial intelligence-based algorithm for physiotherapy and rehabilitation robots for diagnosis and treatment purposes
Wolbrecht et al. Optimizing compliant, model-based robotic assistance to promote neurorehabilitation
Wang et al. Evaluation of lower leg muscle activities during human walking assisted by an ankle exoskeleton
Torricelli et al. Benchmarking lower limb wearable robots: Emerging approaches and technologies
Moghadam et al. The effect of imu sensor location, number of features, and window size on a random forest model’s accuracy in predicting joint kinematics and kinetics during gait
Kim et al. Development of a biomimetic extensor mechanism for restoring normal kinematics of finger movements post-stroke
Liu et al. A potential-real-time thigh orientation prediction method based on two shanks-mounted IMUs and its clinical application
Noghani et al. Design and validation of a smartphone-based haptic feedback system for gait training
Li et al. Personalized passive training control strategy for a lower limb rehabilitation robot with specified step lengths
Bonanno et al. Neural control meets biomechanics in the motor assessment of neurological disorders: a narrative review
Masiero et al. Looking for synergies in healthy upper limb motion: a focus on the wrist
Janagiraman et al. AI-Powered Digital Twin for Fault Monitoring in Medical Exoskeleton
Howard et al. Non-contact versus contact-based sensing methodologies for in-home upper arm robotic rehabilitation
Simkins et al. Upper limb joint space modeling of stroke induced synergies using isolated and voluntary arm perturbations
Carmichael et al. Upper limb strength estimation of physically impaired persons using a musculoskeletal model: A sensitivity analysis
Qian et al. Estimating dynamic plantar pressure distribution from wearable inertial sensors using a hybrid CNN-BiLSTM architecture
Moeller et al. Human motor performance assessment with lower limb exoskeletons as a potential strategy to support healthy aging—a perspective article
Nasr Design, dynamics, and control of active-passive upper-limb exoskeleton robots
Liu et al. Muscle Synergy-Based Iterative Learning Control for Upper Limb Functional Electrical Stimulation in Stroke Rehabilitation
Kuber Utilizing Exoskeletons for Intermittent Trunk Flexion Tasks: Implications on Kinematics, Stability, Muscle Activity and Fatigue
Durandau Towards the next generation in human-machine-interfacing: Controlling wearable robots via neuromusculoskeletal modelling
Suglia Innovative interfaces for motor assessment
García-Silva et al. Case study on robotic-assisted therapy: kinematic and EMG analysis of upper limb motor recovery in complex trajectory tracking: J. García-Silva et al.
Moreira Assist-As-Needed Control for a Smart Orthotic System Aiming a Personalized Gait Rehabilitation