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Studies have shown that the use of cryotherapy after a total knee arthroplasty can have beneficial effect on blood loss, pain and medication usage. In this study, the effect of the applied cryotherapy procedure is investigated. 52 patients underwent a total knee arthroplasty. The test group received continuous cooling, whereas the control group received manual conventional cooling with ice dressing. The knee circumference and range of motion, medication use, satisfaction and pain were investigated. There is no statistical significant difference in pain and medication usage. A significant difference is observed in the swelling of the knee on the first postoperative day, the range of motion on the 7 th , 10 th , 11 th and 12 th postoperative day, and the satisfaction rate. This study shows that continuous cooling has a positive effect on the swelling and range of motion of the knee, and on the satisfaction of the treatment. Clinical trial registration number : Clinical trial number : EudraCT2015-000259-26.

BACKGROUND AND AIM: Foot orthoses alter the kinematics and kinetics in gait. With the increasing importance of evidence based practice and with the permanent development of subtractive manufacturing and introduction of additive manufacturing, there is a growing need for quantification of orthoses parameters. We describe a measurement method and protocol to quantify different parameters of a foot orthosis. TECHNIQUE: A texture analyser is used to impose a displacement of the surface of the orthosis, while the applied force is measured. The measured points are determined based on the location of anatomical landmarks on the foot. Out of the measured data, parameters are calculated representing the stiffness, compression set and shape. DISCUSSION: To illustrate the proposed technique, five different parameters are extracted from three example orthoses. Results show the added value of the proposed technique as the parameters are not only defined by the material but also by the shape. ispartof: pages:5348-5351 ispartof: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings vol:2019 pages:5348-5351 ispartof: IEEE 41st International Engineering in Medicine and Biology Conference location:Berlin, Germany date:23 Jul - 27 Jul 2019 status: published

People with a transtibial amputation worldwide rely on their prosthetic socket to regain their mobility. Patient comfort is largely affected by the weight and strength of these prosthetic sockets. The use of additive manufacturing could give the prosthetist a range of new design possibilities when designing a prosthetic socket. These new design possibilities can in turn lead to improved socket designs and more comfortable prosthetic sockets. This new way of designing and producing prosthetic sockets radically differs from the manual traditional production process. This makes it difficult for prosthetists to understand how all these new design possibilities influence the mechanical properties of the additive manufactured prosthetic socket. Therefore there is a growing need for a method to evaluate the strength and stiffness of newly developed socket designs.We propose a method to evaluate the strength and stiffness of prosthetic sockets. A robotic gait simulator is used to apply realistic kinetics of amputee gait to the tested socket. A Digital Image Correlation (DIC) system is then used to measure the deformation of a prosthetic socket under different loading conditions. This way it is possible to check if plastic deformation will occur in the designed transtibial socket. Furthermore it is possible to assess the effect of cyclic loading on the 3D printed socket.To illustrate the proposed method, a transtibial prosthetic socket was designed using CAD software and produced with laser sintering PA12. DIC measurements were performed on this transtibial socket both before and after it was subjected to a cyclic load of 1 million cycles (mimicking realistic amputee gait). ispartof: pages:5382-5385 ispartof: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings vol:2019 pages:5382-5385 ispartof: International Engineering in Medicine and Biology Conference (ieee embc) location:Berlin date:23 Jul - 27 Jul 2019 status: published

People with physical disabilities and people with moderate, severe to profound intellectual disabilities often need aids for activities of daily living (AADLs). Currently almost all of them are provided with prefabricated aids which often do not fit well or insufficiently. A bespoke aid would be an added-value here. In this paper, approaches to design such bespoke AADLs with different technical complexities are elaborated. As an example the implementation and workflow of two cases are covered: a bespoke joystick handle for an electric wheelchair and a plate-raiser. For both cases, an overview of the practical implementation is given, including the technical considerations. Also an implementation is provided using a 3D scan of the end-user or object on which the AADL is fitted, and one that is usable without 3D scan. The choice of implementation strategy is based on the needs of the end-user, and the preferences of the health care professional who designs the aid. By providing different options for health care professionals to design (and produce) bespoke AADLs, this study aims to lower the threshold to provide end-users with bespoke AADLs that are better tailored to their needs, more specifically when the bespoke AADLs would benefit them better than the prefabricated ones. Hereby, this study aims to contribute to the quality of life and participation of the end-users.

Purpose Detection of, and alarming for epileptic seizures is increasingly demanded and researched. Our previous review article provided an overview of non-invasive, non-EEG (electro-encephalography) body signals that can be measured, along with corresponding methods, state of the art research, and commercially available systems. Three years later, many more studies and devices have emerged. Moreover, the boom of smart phones and tablets created a new market for seizure detection applications. Method We performed a thorough literature review and had contact with manufacturers of commercially available devices. Results This review article gives an updated overview of body signals and methods for seizure detection, international research and (commercially) available systems and applications. Reported results of non-EEG based detection devices vary between 2.2% and 100% sensitivity and between 0 and 3.23 false detections per hour compared to the gold standard video-EEG, for seizures ranging from generalized to convulsive or non-convulsive focal seizures with or without loss of consciousness. It is particularly interesting to include monitoring of autonomic dysfunction, as this may be an important pathophysiological mechanism of SUDEP (sudden unexpected death in epilepsy), and of movement, as many seizures have a motor component. Conclusion Comparison of research results is difficult as studies focus on different seizure types, timing (night versus day) and patients (adult versus pediatric patients). Nevertheless, we are convinced that the most effective seizure detection systems are multimodal, combining for example detection methods for movement and heart rate, and that devices should especially take into account the user⿿s seizure types and personal preferences.

PURPOSE: The aim of our study was to test the efficacy of the VARIA system (video, accelerometry, and radar-induced activity recording) and validation of accelerometry-based detection algorithms for nocturnal tonic-clonic and clonic seizures developed by our team. METHODS: We present the results of two patients with tonic-clonic and clonic seizures, measured for about one month in a home environment with four wireless accelerometers (ACM) attached to wrists and ankles. The algorithms were developed using wired ACM data synchronized with the gold standard video-/electroencephalography (EEG) and then run offline on the wireless ACM signals. Detection of seizures was compared with semicontinuous monitoring by professional caregivers (keeping an eye on multiple patients). RESULTS: The best result for the two patients was obtained with the semipatient-specific algorithm which was developed using all patients with tonic-clonic and clonic seizures in our database with wired ACM. It gave a mean sensitivity of 66.87% and false detection rate of 1.16 per night. This included 13 extra seizures detected (31%) compared with professional caregivers' observations. CONCLUSION: While the algorithms were previously validated in a controlled video/EEG monitoring unit with wired sensors, we now show the first results of long-term, wireless testing in a home environment. publisher: Elsevier articletitle: Long-term accelerometry-triggered video monitoring and detection of tonic–clonic and clonic seizures in a home environment: Pilot study journaltitle: Epilepsy & Behavior Case Reports articlelink: http://dx.doi.org/10.1016/j.ebcr.2016.03.005 content_type: article copyright: © 2016 The Authors. Published by Elsevier Inc. ispartof: Epilepsy & Behavior Case Reports vol:5 pages:66-71 ispartof: location:United States status: published

Detection of, and alarming for epileptic seizures is increasingly demanded and researched. Our previous review article provided an overview of non-invasive, non-EEG (electro-encephalography) body signals that can be measured, along with corresponding methods, state of the art research, and commercially available systems. Three years later, many more studies and devices have emerged. Moreover, the boom of smart phones and tablets created a new market for seizure detection applications.We performed a thorough literature review and had contact with manufacturers of commercially available devices.This review article gives an updated overview of body signals and methods for seizure detection, international research and (commercially) available systems and applications. Reported results of non-EEG based detection devices vary between 2.2% and 100% sensitivity and between 0 and 3.23 false detections per hour compared to the gold standard video-EEG, for seizures ranging from generalized to convulsive or non-convulsive focal seizures with or without loss of consciousness. It is particularly interesting to include monitoring of autonomic dysfunction, as this may be an important pathophysiological mechanism of SUDEP (sudden unexpected death in epilepsy), and of movement, as many seizures have a motor component.Comparison of research results is difficult as studies focus on different seizure types, timing (night versus day) and patients (adult versus pediatric patients). Nevertheless, we are convinced that the most effective seizure detection systems are multimodal, combining for example detection methods for movement and heart rate, and that devices should especially take into account the user's seizure types and personal preferences.

The registration of plantar pressure images is a widely used technique to support human gait analysis. In plantar pressure images, most of the time conventionally derived features are used for further processing. Recently, automatic feature extraction based on PCA and kPCA is being used, to increase the information that can be extracted from this data. In this paper, we describe our work flow and a case study on the application of predicting two pressure features and a non-pressure feature out of the automatically derived PCA features. This includes the normalization of the pressure images, the PCA based feature extraction, and building and testing the regression model based on a linear and kernel SVM.

The assessment of feet by foot experts depends on their background knowledge and preferences. To streamline foot assessments, we want to pinpoint measureable values to each foot characteristic.In t...

Introduction The clinical assessment of feet is mostly based on the experience of foot experts, and varies with their clinical background. To assess feet, experts typically use different techniques and equipment, such as podoscopes, blueprints, pressure plates, or goniometers. To reach a better consistency among experts, it is necessary to compare their results to accurate, quantitative measurements. Purpose of the study This study aims to identify which clinical feet characteristics can be measured robustly visually, and which ones benefit from adding specific equipment in the measurement procedure. As a first step, we want to identify which foot characteristics can be accurately predicted from the quantitative data from different measurement set-ups. ispartof: Footwear Science vol:7 pages:S3-S4 ispartof: location:Liverpool status: published