Does Perceiving Throwabiliy Require a Task Specific Device?

2021 ◽  
pp. 1-21
Author(s):  
Donghao Chen ◽  
Geoffrey P. Bingham ◽  
Jing Samantha Pan
Keyword(s):  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bambang Tutuko ◽  
Siti Nurmaini ◽  
Alexander Edo Tondas ◽  
Muhammad Naufal Rachmatullah ◽  
Annisa Darmawahyuni ◽  
...  

Abstract Background Generalization model capacity of deep learning (DL) approach for atrial fibrillation (AF) detection remains lacking. It can be seen from previous researches, the DL model formation used only a single frequency sampling of the specific device. Besides, each electrocardiogram (ECG) acquisition dataset produces a different length and sampling frequency to ensure sufficient precision of the R–R intervals to determine the heart rate variability (HRV). An accurate HRV is the gold standard for predicting the AF condition; therefore, a current challenge is to determine whether a DL approach can be used to analyze raw ECG data in a broad range of devices. This paper demonstrates powerful results for end-to-end implementation of AF detection based on a convolutional neural network (AFibNet). The method used a single learning system without considering the variety of signal lengths and frequency samplings. For implementation, the AFibNet is processed with a computational cloud-based DL approach. This study utilized a one-dimension convolutional neural networks (1D-CNNs) model for 11,842 subjects. It was trained and validated with 8232 records based on three datasets and tested with 3610 records based on eight datasets. The predicted results, when compared with the diagnosis results indicated by human practitioners, showed a 99.80% accuracy, sensitivity, and specificity. Result Meanwhile, when tested using unseen data, the AF detection reaches 98.94% accuracy, 98.97% sensitivity, and 98.97% specificity at a sample period of 0.02 seconds using the DL Cloud System. To improve the confidence of the AFibNet model, it also validated with 18 arrhythmias condition defined as Non-AF-class. Thus, the data is increased from 11,842 to 26,349 instances for three-class, i.e., Normal sinus (N), AF and Non-AF. The result found 96.36% accuracy, 93.65% sensitivity, and 96.92% specificity. Conclusion These findings demonstrate that the proposed approach can use unknown data to derive feature maps and reliably detect the AF periods. We have found that our cloud-DL system is suitable for practical deployment


2021 ◽  
pp. 193229682110071
Author(s):  
Loukia Spanou ◽  
Konstantinos Makris

In this issue of Journal of Diabetes Science and Technology, Baumstark et al. evaluated the analytical performance of a bench-top laboratory glucose analyzer (SUPER-GL) intended for replacement for the YSI2300-STAT analyzer, that served for several decades as a comparator method in clinical and analytical studies of blood glucose monitoring systems (BGMS). The authors concluded that the SUPER-GL’s overall performance is comparable to that of YSI2300-STAT, and has the potential to be a candidate comparator analyzer. However, the question is if we need to recommend as a “comparator method,” a specific device, that measure glucose using the same analytical method with most BGMS. In this analysis we present our point of view hoping to generate a discussion on the necessity for such a replacement.


2018 ◽  
Vol 23 (5) ◽  
pp. 476-482 ◽  
Author(s):  
Jonas Austerjost ◽  
Marc Porr ◽  
Noah Riedel ◽  
Dominik Geier ◽  
Thomas Becker ◽  
...  

The introduction of smart virtual assistants (VAs) and corresponding smart devices brought a new degree of freedom to our everyday lives. Voice-controlled and Internet-connected devices allow intuitive device controlling and monitoring from all around the globe and define a new era of human–machine interaction. Although VAs are especially successful in home automation, they also show great potential as artificial intelligence-driven laboratory assistants. Possible applications include stepwise reading of standard operating procedures (SOPs) and recipes, recitation of chemical substance or reaction parameters to a control, and readout of laboratory devices and sensors. In this study, we present a retrofitting approach to make standard laboratory instruments part of the Internet of Things (IoT). We established a voice user interface (VUI) for controlling those devices and reading out specific device data. A benchmark of the established infrastructure showed a high mean accuracy (95% ± 3.62) of speech command recognition and reveals high potential for future applications of a VUI within the laboratory. Our approach shows the general applicability of commercially available VAs as laboratory assistants and might be of special interest to researchers with physical impairments or low vision. The developed solution enables a hands-free device control, which is a crucial advantage within the daily laboratory routine.


Vision ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 39
Author(s):  
Michele Nicolai ◽  
Alessandro Franceschi ◽  
Paolo Pelliccioni ◽  
Vittorio Pirani ◽  
Cesare Mariotti

The EX-PRESS glaucoma filtration device appears to be an effective addition to our options to treat refractory glaucoma. The possibility to create a sclerostomy without tissue excision provides a safe and reliable outflow pathway for aqueous that is standard in size, reducing much of the variability associated with a surgical procedure. Prospective randomized studies comparing EX-PRESS implantation with trabeculectomy show encouraging results. However, complications usually encountered in filtration surgery have been reported, and EX-PRESS implantation can also lead to specific device-related complications. This article reviews the most common complications associated with this procedure.


Author(s):  
M. Antonelli ◽  
P. Beomonte Zobel ◽  
J. Giacomin

The choice of the command technique to be used in orthotic and prosthetic devices is very critical for the acceptance and, finally, the success of the specific device. Many variables influence this choice: the general characteristics of the signal, the quality of the correlation between signal and specific actions of the user and the algorithm that is derived, the acceptance of the technique, as applied to the specific device, from the user, etc. Among the command techniques, MMG signal seems to be promising to command an assistive device. In this paper a test protocol for studying MMG signal, to investigate the prospective for its use as a command technique of a powered lower limb orthosis capable of raising elderly and disabled people from the sitting position, is proposed. The definition of the test protocol, including the description of the test bed and the sensors application, is presented. Finally, the experimental results are showed and discussed.


Author(s):  
Patrick Caudal ◽  
Robert Mailhammer

This paper investigates the meaning of a specific intonation contour found in the Northern Australian language Iwaidja called Linear Lengthening Intonation (LLI). Using an experimental field work approach, we analysed approximately 4,000 utterances. We demonstrate that the semantics of LLI is broadly event-quantificational as well as temporally scalar. LLI imposes aspectual selectional restrictions on the verbs it combines with (they must be durative, i.e. cannot describe ‘punctual’, atomic events), and requires the event description effected by said verbs to exceed a contextually-determined relative scalar meaning (e.g., a ‘typical duration’ à la (Tatevosov 2008)). Iwaidja differs from other Northern Australian languages with similar intonation patterns (see e.g. (Bishop 2002: 2002; Simard 2013)), in that it does not seem to have any argument NP-related incremental or event scalar meaning. This suggests that LLI is a decidedly grammatical, language-specific device; not a purely iconic kind of expression (even though it also possibly has an iconic dimension).


Author(s):  
Simone Belli ◽  
Juan C. Aceros

The authors present a research based in Spain and carried out between 2011 and 2014 on the social organizations and affective processes involved in social movements. Using extracts from narrative interviews, they explore how participants in social protests cross attachment and technology in order to develop trusting relationships. The way they propose to analyse the issue of trust in social organizations is to examine the discursive construction of the links between the attachment of actors and the use of different technologies. The narrative was recorded in an event that was organised in the city of Madrid in 2014. The analysis is organised in three parts. The first step is to introduce the first approach to constructing the horizontal infrastructure. In the second step, the authors show how good practice stimulates social organizations to create the perfect environment to distribute trust. In the last step, they present technology and society zigzagging together to achieve a common purpose. They consider technology as a marker of the emergence of new forms of cooperation and innovation constructed by shared trust among the actors involved in social organizations. They introduce a specific device, where expert knowledge contributes to the very definition and shaping of the trust within social organizations.


2019 ◽  
Vol 10 (1) ◽  
pp. 175
Author(s):  
Alex J. Deakyne ◽  
Tinen L. Iles ◽  
Alexander R. Mattson ◽  
Paul A. Iaizzo

Data relative to anatomical measurements, spatial relationships, and device–tissue interaction are invaluable to medical device designers. However, obtaining these datasets from a wide range of anatomical specimens can be difficult and time consuming, forcing designers to make decisions on the requisite shapes and sizes of a device from a restricted number of specimens. The Visible Heart® Laboratories have a unique library of over 500 perfusion-fixed human cardiac specimens from organ donors whose hearts (and or lungs) were not deemed viable for transplantation. These hearts encompass a wide variety of pathologies, patient demographics, surgical repairs, and/or interventional procedures. Further, these specimens are an important resource for anatomical study, and their utility may be augmented via generation of 3D computational anatomical models, i.e., from obtained post-fixation magnetic resonance imaging (MRI) scans. In order to optimize device designs and procedural developments, computer generated models of medical devices and delivery tools can be computationally positioned within any of the generated anatomical models. The resulting co-registered 3D models can be 3D printed and analyzed to better understand relative interfaces between a specific device and cardiac tissues within a large number of diverse cardiac specimens that would be otherwise unattainable.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e030576 ◽  
Author(s):  
Maria Chiara Ottino ◽  
Andrea Argentero ◽  
Pier Angelo Argentero ◽  
Giacomo Garzaro ◽  
Carla Maria Zotti

ObjectiveNeedlestick and sharps injuries (NSIs) involving healthcare workers (HCWs) are worldwide under surveillance since long time; the implementation of the European Directive 32/2010 regarding the mandatory use of safety-engineered devices (SEDs) seems to have reduced the number of these accidents. Our surveillance investigated the frequency and the modality of SED-related NSIs in the Piedmont region to verify changes in the epidemiology of these events.MethodsWe analysed the exposure records of NSIs, device usage data and structural data of 42 acute care hospitals and compared conventional and safety devices. We calculated the accident rates per 100 000 needles and, as a measure of SED efficacy, the relative risk between the use of safety and non-safety devices with a 95% CI. We also described the dynamics of the NSIs and the most involved professional groups of HCWs, procedures and devices.ResultsTotal and specific device accident rates for 100 000 needles were lower with the use of SEDs. In 2015–2016, there were 1640 NSIs, with a decreasing absolute number during the observation period; 18% were SEDs related. Half of the total accidents with SEDs occurred in the patient’s room, and nurses were involved in 78% of the cases. The most involved devices were the butterfly needles and peripheral venous catheters, and the most involved procedures were venous sampling (40%) and phlebotherapy (16%). The exposures occurred mostly during the procedure, and 45% of the SED-related injuries occurred during the disposal of the device; 92% of the SEDs involved had a manual activation mechanism.ConclusionIn agreement with the results of other European studies, our results show that SEDs reduce the risk of percutaneous exposure of HCWs, but in introducing SEDs, we must select those with a higher level of safety (with a passive activation mechanism) and improve the healthcare staff training programmes.


2020 ◽  
Vol 11 ◽  
pp. 814-820 ◽  
Author(s):  
K Priya Madhuri ◽  
Abhay A Sagade ◽  
Pralay K Santra ◽  
Neena S John

The influence of single-layer graphene on top of a SiO2/Si surface on the orientation of nonplanar lead phthalocyanine (PbPc) molecules is studied using two-dimensional grazing incidence X-ray diffraction. The studies indicate the formation of a mixture of polymorphs, i.e., monoclinic and triclinic forms of PbPc with face-on (lying down) and edge-on (standing up) PbPc orientations, respectively. The formation of monoclinic fractions is attributed to the presence of the graphene layer directing the π interactions between the highly delocalized macrocycles. The competing interfacial van der Waals forces and molecule–molecule interactions lead to the formation of a small fraction of triclinic moieties. The nanoscale electrical characterization of the thin PbPc layer on graphene by means of conducting atomic force microscopy shows enhanced vertical conductance with interconnected conducting domains consisting of ordered monoclinic crystallites through which the charge transfer occurs via tunneling. These results show the importance of a templating layer to induce the formation of a required phase of PbPc suitable for specific device applications.


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