Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to develop a pathology-independent classifier that provides prediction probabilities and explanations of the classification decisions. Spinal posture data of healthy subjects and various pathologies (back pain, spinal fusion, osteoarthritis), as well as synthetic data, were used for modeling. A one-class support vector machine was used as a pathology-independent classifier. The outputs were transformed into a probability distribution according to Plat…
Chronic lateral epicondylitis of the elbow: A prospective study of low-energy shockwave therapy and low-energy shockwave therapy plus manual therapy of the cervical spine.
Abstract Rompe JD, Riedel C, Betz U, Fink C. Chronic lateral epicondylitis of the elbow: a prospective study of low-energy shockwave therapy and low-energy shockwave therapy plus manual therapy of the cervical spine. Arch Phys Med Rehabil 2001;82:578-82. Objective: To compare the effects of extracorporeal shockwave therapy (ESWT) alone with a combination of ESWT and manual therapy of the cervical spine in treating chronic tennis elbow. Design: Prospective, matched single-blind control trial. Setting: University hospital clinic. Patients: Thirty patients with unilateral chronic tennis elbow, an unsuccessful conservative therapy during the 6 months before referral, and clinical signs of cervi…
Spinal Instability and the Issue of Bracing and Bed Rest.
Nearly 20% of cancer patients develop symptomatic spine metastases. Metastatic spine tumors are most commonly extradural tumors that grow quickly and often cause persistent pain, weakness, paresthesias, urinary/bowel dysfunction, and/or paralysis. Surgical intervention aims to achieve more effective pain management, preserve/restore neurological function, provide local tumor control, and stabilize the spinal column. The desired result of treatment is ultimately to improve a patient's quality of life. Neurosurgeons employ multiple decision frameworks and grading scales to assess the need and effectiveness of a variety of surgical interventions ranging from minimally to maximally invasive. Li…
The PROMISE study protocol: a multicenter prospective study of process optimization with interdisciplinary and cross-sectoral care for German patients receiving hip and knee endoprostheses
Background and purpose — Knee and hip replacement are common and increasing procedures, and an optimized care process that could be implemented in different settings would be useful. The PROMISE trial investigates whether a new care process works equally in different German settings and how the results compare with current non-standardized care. Patients and methods — This multi-center prospective mixed-method study includes 2,000 German patients receiving arthritis-related hip or knee endoprostheses. An interdisciplinary and cross-sectoral care process was developed and implemented in 3 German hospitals with different levels of care, and corresponding rehabilitation centers were included t…
General method for automated feature extraction and selection and its application for gender classification and biomechanical knowledge discovery of sex differences in spinal posture during stance and gait
Modern technologies enable to capture multiple biomechanical parameters often resulting in relational data. The current work proposes a generally applicable method comprising automated feature extraction, ensemble feature selection and classification to best capture the potentials of the data also for generating new biomechanical knowledge. Its benefits are demonstrated in the concrete biomechanically and medically relevant use case of gender classification based on spinal data for stance and gait. Very good results for accuracy were obtained using gait data. Dynamic movements of the lumbar spine in sagittal and frontal plane and of the pelvis in frontal plane best map gender differences.
Machine learning techniques demonstrating individual movement patterns of the vertebral column: the fingerprint of spinal motion
Surface topography systems enable the capture of spinal dynamic movement; however, it is unclear whether vertebral dynamics are unique enough to identify individuals. Therefore, in this study, we investigated whether the identification of individuals is possible based on dynamic spinal data. Three different data representations were compared (automated extracted features using contrastive loss and triplet loss functions, as well as simple descriptive statistics). High accuracies indicated the possible existence of a personal spinal 'fingerprint', therefore enabling subject recognition. The present work forms the basis for an objective comparison of subjects and the transfer of the method to…