A Wearable System to Assist Walking of Parkinson´s Disease Patients

2010 ◽  
Vol 49 (01) ◽  
pp. 88-95 ◽  
Author(s):  
M. Plotnik ◽  
D. Roggen ◽  
N. Giladi ◽  
J. M. Hausdorff ◽  
G. Tröster ◽  
...  

Summary Background: About 50% of the patients with advanced Parkinson’s disease (PD) suffer from freezing of gait (FOG), which is a sudden and transient inability to walk. It often causes falls, interferes with daily activities and significantly impairs quality of life. Because gait deficits in PD patients are often resistant to pharmacologic treatment, effective non-pharmacologic treatments are of special interest. Objectives: The goal of our study is to evaluate the concept of a wearable device that can obtain real-time gait data, processes them and provides asistance based on pre-determined specifications. Methods: We developed a real-time wearable FOG detection system that automatically provides a cueing sound when FOG is detected and which stays until the subject resumes walking. We evaluated our wearable assistive technology in a study with 10 PD patients. Over eight hours of data was recorded and a questionnaire was filled out by each patient. Results: Two hundred and thirty-seven FOG events have been identified by professional physiotherapists in a post-hoc video analysis. The device detected the FOG events online with a sensitivity of 73.1% and a specificity of 81.6% on a 0.5 sec frame-based evaluation. Conclusions: With this study we show that online assistive feedback for PD patients is possible. We present and discuss the patients’ and physiotherapists’ perspectives on wear-abilty and performance of the wearable assistant as well as their gait performance when using the assistant and point out the next research steps. Our results demonstrate the benefit of such a context-aware system and motivate further studies.

2020 ◽  
Vol 26 (4) ◽  
pp. 496-507
Author(s):  
Kheir Daouadi ◽  
Rim Rebaï ◽  
Ikram Amous

Nowadays, bot detection from Twitter attracts the attention of several researchers around the world. Different bot detection approaches have been proposed as a result of these research efforts. Four of the main challenges faced in this context are the diversity of types of content propagated throughout Twitter, the problem inherent to the text, the lack of sufficient labeled datasets and the fact that the current bot detection approaches are not sufficient to detect bot activities accurately. We propose, Twitterbot+, a bot detection system that leveraged a minimal number of language-independent features extracted from one single tweet with temporal enrichment of a previously labeled datasets. We conducted experiments on three benchmark datasets with standard evaluation scenarios, and the achieved results demonstrate the efficiency of Twitterbot+ against the state-of-the-art. This yielded a promising accuracy results (>95%). Our proposition is suitable for accurate and real-time use in a Twitter data collection step as an initial filtering technique to improve the quality of research data.


2021 ◽  
Author(s):  
A Altaie ◽  
MA Hadis ◽  
V Wilson ◽  
MJ German ◽  
BR Nattress ◽  
...  

SUMMARY Objective: This study aimed to evaluate the irradiance and the quality of LED light curing units (LCUs) in primary and secondary clinics in the UK and to assess the effect of damage, contamination, use of protective sleeves, and distance of light tips to target on the irradiance and performance of LCUs. Methods: The irradiance levels (mW/cm2) of 26 LED LCUs from general dental practices and 207 LED LCUs from two dental hospitals were measured using a digital radiometer (Blue Phase II, Ivoclar, Vivadent, Amherst, NY). Ten LED light guide tips (Satelec Mini, Acteon, Merignac, France) were selected to evaluate the effect of chipping, contamination (tip debris), and use of protective sleeves and tips to sensor distance on irradiance (mW/cm2) using a MARC Resin Calibrator (Blue Light Analytics, Halifax, Canada). Homogeneity of the light output was evaluated using a laser beam profiler (SP620; Ophir-Spiricon, North Longan, UT, USA). Statistical analysis was conducted using a one-way analysis of variance (ANOVA) with post hoc Tukey test (α=0.05) and linear regression with stepwise correlation tests. Results: Thirty-three percent of the LCUs delivered irradiance output less than 500 mW/cm2. The condition of the light curing tips was poor, with 16% contaminated with resin debris, 26% damaged, and 10% both contaminated and damaged. The irradiance output was significantly reduced in contaminated (62%) and chipped (50%) light curing tips and when using protective sleeves (24%) (p<0.05). Irradiance was also reduced when increasing the distance with 25% and 34% reduction at 7 mm and 10 mm, respectively (p<0.05). Conclusion: There remains a lack of awareness of the need for regular monitoring and maintenance of dental LCUs. Damaged and contaminated light curing tips, use of protective sleeves, and increasing the distance from the restoration significantly reduced the irradiance output and the performance of the LCUs.


2015 ◽  
Vol 66 (4) ◽  
pp. 220-225 ◽  
Author(s):  
Jakub Navařík ◽  
Petr Novák ◽  
Jiří Pechoušek ◽  
Libor Machala ◽  
Dalibor Jančík ◽  
...  

Abstract Quality and performance of a detection system are the crucial parameters in all nuclear physics experiments. This system serves as a source of all signals and noises to be processed. Better performance, higher amplification and lower noises occurrence simplify subsequent signal analysis. In the field of Mössbauer spectroscopy, the spectrum quality and Mössbauer effect are crucial parameters which are affected especially by the quality of the detection system. These parameters were evaluated for different types of a detection setup. Finally an improvement of the spectrum quality by 15% and Mössbauer effect by 7% has been achieved for the natural iron reference absorber measurement in comparison with previous version of the detection system.


2011 ◽  
Vol 10 (4) ◽  
pp. 61-65
Author(s):  
Robert Sajko ◽  
Zeljka Mihajlovic

The quality of computer rendering and perception of realism greatly depend on the shading method used to implement the interaction of light with the surfaces of objects in a scene. Ambient occlusion (AO) enhances the realistic impression of rendered objects and scenes. Properties that make Screen Space Ambient Occlusion (SSAO) interesting for real-time graphics are scene complexity independence, and support for fully dynamic scenes. However, there are also important issues with current approaches: poor texture cache use, introduction of noise, and performance swings. In this paper, a straightforward solution is presented. Instead of a traditional, geometry-based sampling method, a novel, image-based sampling method is developed, coupled with a revised heuristic function for computing occlusion. Proposed algorithm harnessing GPU power improves texture cache use and reduces aliasing artifacts. Two implementations are developed, traditional and novel, and their comparison reveals improved performance and quality of the proposed algorithm.


Author(s):  
Faîçal Felhi ◽  
Jalel Akaichi

Real time impact in many applications is the subject of a recent field of studies in information systems. Web services are a solution for the integration of distributed information systems that are autonomous, heterogeneous and auto adaptable to the context. This impact can resolve many problems in different systems based on Service Oriented Architecture (SOA) and web services. In this paper, the authors are interested in defining an approach to provide the different needs of self-adaptability of SOA to the context based on workflow, define the real time goal in their approach and show the feasibility and performance evaluation of their approach in an ambulance trajectory case study.


2013 ◽  
Vol 438-439 ◽  
pp. 1084-1088
Author(s):  
Ummin Okumura ◽  
Yu Jie Qi ◽  
Yun Long ◽  
Tian Hang Zhang

Based on the platform of LabVIEW, a set of roller intelligent detecting system is developed. With this system, it is easy to realize functions of fast nondestructive testing of subgrade compaction degree, roller speed, rollers compaction trajectory, compaction times, GPS real-time positioning as well as saving and printing report forms. Compared with traditional detection methods, this detecting system can test and control on-site compaction quality much more easily, in order to speed up the construction progress, improve the quality of subgrade compaction, control and manage compaction work better.


2021 ◽  
Author(s):  
Jiarui Xie

Fused Filament Fabrication (FFF) is an additive manufacturing technology that can produce complicated structures in a simple-to-use and cost-effective manner. Although promising, the technology is prone to defects, e.g. warping, compromising the quality of the manufactured component. To avoid the adverse effects caused by warping, this thesis utilizes deep-learning algorithms to develop a warping detection system using Convolutional Neural Networks (CNN). To create such a system, a real-time data acquisition and analysis pipeline is laid out. The system is responsible for capturing a snapshot of the print layer-bylayer and simultaneously extracting the corners of the component. The extracted region-of-interest is then passed through a CNN outputting the probability of a corner being warped. If a warp is detected, a signal is sent to pause the print, thereby creating a closed-loop monitoring system. The underlying model is tested on a real-time manufacturing environment yielding a mean accuracy of 99.21%.


2012 ◽  
Vol 490-495 ◽  
pp. 937-941
Author(s):  
Hong He ◽  
Xing Su ◽  
Pei Pei Yang ◽  
Jian Wen Li ◽  
Shao Hua Shi

Contrary to the problem that automobile switches have various kinds and large differences in the structure and performance so that traditional testing methods have been unable to meet the testing requirements of high performance switches, the paper designs a new detection system used to detect the functions of general auto switches which applies the developing environment LabVIEW based on virtual instrument technology and adopts the technology of embedded observe and control system. Using PC as the host computer, the system adopts the LabVIEW8.5 to compile a real-time monitoring system with good human-computer interface; S3C2440-ARM9 processor is used as the main controller of observe and control system in the inferior computer which collects output current signal when the circuit is conducted after switch is pressed. After the coding process of LwIP software protocol and the drive of Ethernet controller DM9000, the signal is transmitted to PC through Ethernet interface. Compared with conventional testing measures, this system greatly improves the real-time performance as well as working efficiency of detecting switch functions and reduces the corresponding human and material resources.


2021 ◽  
Author(s):  
Fehima Achour ◽  
Wassim Jaziri ◽  
Emna Bouazizi

Real-time DBMSs (DataBase Management Systems) are designed to manage transactions with time constraints and maintain the database consistency. The Quality of Service (QoS) in these systems is often evaluated based on the number of transactions satisfying their deadlines using a Feedback Control Scheduling Architecture (FCS). In this context, we are interested in the recently proposed FCS for Real-Time Ontology (FCSRTO) allowing to manage real-time ontological data, to which a specific execution of transactions is proposed. Being essential for the execution process of transactions, scheduling has been the subject of a recent work proposing the Advanced Earliest Deadline First based on Transactions Aggregation Links and Data Semantic Links (AEDF-TAL-DSL) as a scheduling protocol. It is mainly based on considering the aggregation links existing between transactions as well as the semantic links appearing between the users queries as scheduling parameters. Our work is to propose a new QoS approach called Semantics-Based FCSRTO. Our approach consists in combining the FCSRTO and the AEDF-TAL-DSL in a same architecture. Hence, we are improving the FCSRTO by using a sophisticated scheduling protocol on one hand, and on the other, it improves the AEDF-TAL-DSL scheduling protocol by managing transactions accessing to real-time ontological data. We also show the contributions provided by our QoS approach through a set of simulations.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
C. Tselios ◽  
C. Papageorgiou ◽  
K. Birkos ◽  
I. Politis ◽  
T. Dagiuklas

This paper describes the design and prototype implementation of a communication platform aiming to provide voice and video communication in a distributed networking environment. Performance considerations and network characteristics have also been taken into account in order to provide the set of properties dictated by the sensitive nature and the real-time characteristics of the targeted application scenarios. The proposed system has been evaluated both by experimental means as well as subjective tests taken by an extensive number of users. The results show that the proposed platform operates seamlessly in two hops, while in the four hops scenario, audio and video are delivered with marginal distortion. The conducted survey indicates that the user experience in terms of Quality of Service has obtained higher scores in the scenario with the two hops.


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