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Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses. In this work, we are interested in developing tools for the automatic identification of Parkinson’s disease using machine learning and the concept of BoVW. The proposed approach concerns a hierarchical-based learning technique to design visual dictionaries through the Deep Optimum-Path Forest classifier. The proposed method was evaluated in six datasets derived from data collected from individuals when performing handwriting exams. Experimental results showed the potential of the technique, with robust achievements.
Parkinson's disease (PD) is a neurodegenerative disease that affects millions of people worldwide, causing mental and mainly motor dysfunctions. The negative impact on the patient's daily routine has moved the science in search of new techniques that can reduce its negative effects and also identify the disease in individuals. One of the main motor characteristics of PD is the hand tremor faced by patients, which turns out to be a crucial information to be used towards a computer-aided diagnosis. In this context, we make use of handwriting dynamics data acquired from individuals when submitted to some tasks that measure abilities related to writing skills. This work proposes the application of recurrence plots to map the signals onto the image domain, which are further used to feed a Convolutional Neural Network for learning proper information that can help the automatic identification of PD. The proposed approach was assessed in a public dataset under several scenarios that comprise different combinations of deep-based architectures, image resolutions, and training set sizes. Experimental results showed significant accuracy improvement compared to our previous work with an average accuracy of over 87%. Moreover, it was observed an improvement in accuracy concerning the classification of patients (i.e., mean recognition rates above to 90%). The promising results showed the potential of the proposed approach towards the automatic identification of Parkinson's disease.
High loads can appear in the individual joints of the human foot while the driver uses the pedals, in particular, during breaking. Measuring these internal forces is very difficult or almost impossible; therefore, advanced models are necessary to perform musculoskeletal simulations. The objective of this investigation was to see what loads are acting in the individual foot joints from the phalanges to calcaneus and talus during different brake scenarios. The Glasgow-Maastricht AnyBody Foot Model with 26 separate segments, connected by joints, ligaments and muscles was used inside the AnyBody Modeling System to compute individual mid foot joint loads. The amount, the direction of the force and additionally also the load insertion point was varied for several simulations. Figure 1: Seated musculoskeletal body model with applied brake force and forces for the lateral, intermediate and medial cuneiform-navicular joint for two different brake forces. The simulation showed that for the different brake scenarios, different muscles will be activated in the human and therefore different loads are apply in the fore-and mid-foot, respectively. The torso of the subject was assumed to be fixed in the seat. Further studies are ongoing to simulate the seat as an elastic element that allows different H-point locations according to the different loadings in the foot from the brake pedal using a new inverse dynamics analysis method called force-dependent kinematics.
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of exvivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models. However, the limited background variation and simple motion rendered the dataset uninformative in learning about which techniques would be suitable for segmentation in real surgery. In 2017, at the same workshop in Quebec we introduced the robotic instrument segmentation dataset with 10 teams participating in the challenge to perform binary, articulating parts and type segmentation of da Vinci instruments. This challenge included realistic instrument motion and more complex porcine tissue as background and was widely addressed with modfications on U-Nets and other popular CNN architectures [1].
In 2018 we added to the complexity by introducing a set of anatomical objects and medical devices to the segmented classes. To avoid over-complicating the challenge, we continued with porcine data which is dramatically simpler than human tissue due to the lack of fatty tissue occluding many organs.
Background: This preparatory study accelerates an implementation of individualized monitoring and feedback of physical motion using conventional motion trackers in the rehabilitation process of geriatric trauma patients. Regaining mobility is accompanied with improved quality of life in persons of very advanced age recovering from fragility fractures.
Objectives: Quantitative survey of regaining physical mobility provides recommendations for action on how to use motion trackers effectively in a clinical geriatric setting.
Methods: Method mix of quantitative and qualitative interdisciplinary and mutual complementary research approaches (sociology, health research, philosophy/ethics, medical informatics, nursing science, gerontology and physical therapy). While validating motion tracker use in geriatric traumatology preliminary data are used to develop a target group oriented motion feedback. In addition measurement accuracy of a questionnaire about quality of life of multimorbid geriatric patients (FLQM) is tested.
Conclusion: Implementing a new technology in a complex clinical setting needs to be based on a strong theoretical background but will not succeed without careful field testing.
Therapieabbruch oder -unterbrechung erhöhen das Risiko von Krankheitsschüben in der MS-Behandlung (Ennis et al., 2008). Der Abbruchanteil für die immunmodulatorische Basistherapie mit COPAXONE® betrug 2008 in den ersten drei Monaten bis zu 30 % (COPAKTIV Schwestern-Service, 2008), worauf das Aktiv-mit-MS-Patientenbetreuungsprogramm, eine begleitende pflegerische Fachberatung und ein Servicetelefon, installiert wurde. Die Auswirkungen der Zusammenarbeit innerhalb des Teams und mit Ärzt/innen sowie die peer-to-peer Beratung in einem Online-Forum auf Therapietreue und Krankheitsbewältigung der Patient/innen wurde im Längsschnitt untersucht. Ein Methoden-Mix wurde erfolgreich zur Evaluation der pflegerischen Multiprofessionalität eingesetzt. Es zeigte sich, dass die Angebote im Betreuungsprogramm zu einer Verminderung der Abbruchquote führten und die Patient/innen eine gute Therapietreue einhalten.
Hintergrund:
Eltern stehen im Rahmen der eigenen Impfung und der Kinderimpfung mit einem COVID-19-Vakzin vor einer Impfentscheidung. Zum aktuellen Zeitpunkt gibt es keine (vollständige) Impfempfehlung.
Fragestellung:
Die Studie untersucht die Impfbereitschaft von Eltern minderjähriger Kinder und Personen ohne minderjährige Kinder, wobei insbesondere Geschlechtsunterschiede überprüft werden.
Methoden:
Die Studie basiert auf einer Zufallsstichprobe (Telefon-Survey, n = 2014, Erhebung zwischen 12.11.2020 und 10.12.2020). Die Auswertung stützt sich insbesondere auf die Teilstichprobe von Personen mit minderjährigen Kindern im Haushalt (n = 461).
Ergebnisse:
Eltern weisen durchgängig eine geringere Impfbereitschaft mit einem COVID-19-Vakzin auf als Befragte ohne minderjährige Kinder (54,1 % vs. 71,1 %). Väter weisen eine stärker ausgeprägte eigene Impfbereitschaft auf als Mütter. Darüber hinaus sind Männer eher als Frauen bereit, das eigene Kind mit einem COVID-19-Vakzin impfen zu lassen.
Schlussfolgerungen:
Bei Eltern und insbesondere Müttern ist eine erhebliche Fehleinschätzung von Impfrisiken und häufiger Glaube an Impfverschwörungstheorien zu beobachten. Empfohlen werden anschauliche und leicht verständliche Informationen über die Wirkung und Nebenwirkungen der Impfung mit einem COVID-19-Vakzin durch zuständige Institutionen und Ärzte.
Background: This article is based on an ongoing long-term study, in which customary motion trackers measure steps during rehabilitation of geriatric trauma patients (Med=86 years).
Objectives: Exploring steps after 28 days of measurement. Finding similarities in the data by running cluster analysis and formulating linear regressions models to predict steps through time.
Methods: Two types of motion trackers (FitBitAlta HR and Garmin vívofit 3) have been used to measure patients' (N=24) steps after hip fracture in two study groups. Cluster analysis detected three clusters for progress in number of steps that were tested for group differences with ANOVA. Regression analysis tested models for individual patients.
Results: Three-cluster solutions showed significant differences for the average amount of steps after 5, 14, 21 and 28 days. Regression models could predict 71 % of the individual patients' progress in study group 2.
Conclusion: The long-term study will provide more data in the future to examine the three-cluster solution and to find out in what stage of rehabilitation the measurement of the steps could be used to predict individual rehabilitation.
Es handelt sich um eine prospektive Studie zu einem beantragten BMBF-Projekt in einer Kooperation zwischen dem Institut für Sozialforschung und Technikfolgenabschätzung (IST), der Professur für E-Health der Fakultät Informatik und Mathematik an der OTH Regensburg sowie der Alterstraumatologie im Caritas Krankenhaus St. Josef Regensburg. Die geplante Machbarkeitsstudie forciert die Implementierung eines individualisierten Bewegungsmonitorings und feedbacks durch Einsatz eines alltagstauglichen Motion-Trackers in der Rehabilitation geriatrischer Traumapatient/innen. Das Wiedererlangen von Mobilität nach einer Fraktur geht einher mit dem Erhalt der subjektiven Lebensqualität (LQ) hochaltriger Menschen. Durch diagnostische Überwachung mithilfe der Motion-Tracker wird das Wiedererlangen bzw. der Erhalt von Mobilität quantitativ begleitet, um daraus Handlungsempfehlungen für deren nützlichen und kostengünstigen Einsatz in der geriatrischen Rehabilitation abzuleiten. Die Vorstudie dient der Validierung des Einsatzes handelsüblicher Motion-Tracker in der Alterstraumatologie, einschließlich der Entwicklung eines für die Zielgruppe geeigneten Bewegungsfeedbacks sowie der Überprüfung des Fragebogens zur LQ multimorbider älterer Menschen (FLQM). Hierfür werden quantitative und qualitative Methoden der Disziplinen Soziologie, Gesundheitsforschung, Philosophie/Ethik, Datenschutzrecht und medizinische Informatik, Medizin, Pflege, Gerontologie und Physiotherapie, die sich gegenseitig ergänzen (Methoden-Mix), herangezogen.
Nach einer Fraktur ist Mobilisierung Behandlungsziel und Therapiesäule. Das Festlegen von Outcomes basiert jedoch auf vielen Unsicherheiten, da Assessments nicht für alle Patient/-innen geeignet sind. Sie können agesabhängig beeinflusst und subjektiv geprägt sein. Sensorbasiertes Bewegungsmonitoring bietet eine Ergänzung zur Operationalisierung der Gehfähigkeit. Für Längsschnittuntersuchungen, die auch im häuslichen Umfeld durchgeführt werden, eignet sich die tägliche Schrittzahl als Variable. Sie kann durch einen handelsüblichen Fitnesstracker beobachtet
werden.
Straßenzeitungen haben sich zum Ziel gesetzt, einen Zuverdienst für Menschen in Not zu bieten und zugleich Vorurteile gegenüber Obdachlosen öffentlich zu bekämpfen. Eine Leserumfrage der Regensburger Straßenzeitung DONAUSTRUDL untersuchte die Wirksamkeit der Zeitung hinsichtlich ihrer Aufklärungsorientierung. Das Ergebnis zeigte, dass die Leser_innenschaft kaum weniger Vorurteile gegen Obdachlose hatte als die Gesamtbevölkerung.
This article highlights methodological and ethical challenges in research with adults of older and oldest age, by presenting field experiences of the current research project “Motion Monitoring of Geriatric Trauma Patients - Explorative Study on the Rehabilitation Process after Hip Fracture Using Sensor-based Data”. Depiction of the survey situation, with regard to the subjects in particular, can serve as practical examples for designing future research projects.
The group of older adults is a rather large and growing group for which research is required, especially concerning their heterogeneity, their individual autonomy and quality of life. It is assumed, that research designs of studies on the target group must be specifically adjusted, in particular when considering the attribution of vulnerability of the group members. At the same time, it is not clear yet what exact specifics of the subjects and target group must be considered in research designs, as surprisingly little is known about the target group as subjects and corresponding theories have been insufficiently tested.
The exploratory long-term design of the research project presented in the second section of this chapter has a positive evaluation of an ethics committee. Still ethical challenges occurred in the field situation, that are illustrated in the third section of this chapter, by providing information on the patients, their role as research subjects, how they were recruited, how an informed consensus was reached, and in some cases how participation was rejected or abandoned. After a summary, the end of the paper is marked by recommendations on how to design future research projects.
Cumulatively it must always be expected that interaction between researchers and research subjects of this target group can become very intensive, what requires to follow clearly defined procedures and at the same time to be prepared to act flexibly.
Nützlichkeit und Nutzung
(2019)
Pediatric patients suffering from ependymoma are usually treated with cranial or craniospinal three-dimensional (3D) conformal radiotherapy (3DCRT). Intensity-modulated techniques spare dose to the surrounding tissue, but the risk for second malignancies may be increased due to the increase in low-dose volume. The aim of this study is to investigate if the flattening filter free (FFF) mode allows reducing the risk for second malignancies compared to the mode with flattening filter (FF) for intensity-modulated techniques and to 3DCRT. A reduction of the risk would be advantageous for treating pediatric ependymoma. 3DCRT was compared to intensity-modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT) with and without flattening filter. Dose-volume histograms (DVHs) were compared to evaluate the plan quality and used to calculate the excess absolute risk (EAR) to develop second cancer in the brain. Dose verification was performed with a two-dimensional (2D) ionization chamber array and the out-of-field dose was measured with an ionization chamber to determine the EAR in peripheral organs. Delivery times were measured. Both VMAT and IMRT achieved similar plan quality in terms of dose sparing in the OAR and higher PTV coverage as compared to 3DCRT. Peripheral dose in low-dose region, which is proportional to the EAR in organs located in this region, for example, gonads, bladder, or bowel, could be significantly reduced using FFF. The lowest peripheral EAR and lowest delivery times were hereby achieved with VMATFFF . The EAR calculated based on DVH in the brain could not be reduced using FFF mode. VMATFFF improved the target coverage and homogeneity and kept the dose in the OAR similar compared to 3DCRT. In addition, delivery times were significantly reduced using VMATFFF . Therefore, for radiotherapy of ependymoma patients, VMATFFF may be considered advantageous for the combination of Elekta Synergy linac and Oncentra External Beam planning system used in this study.