Visual performance in preterm infants with brain injuries compared with low-risk preterm infants

Background: Neonatal brain injuries are the main cause of visual deficit produced by damage to posterior visual pathways.While there are several studies of visual function in low-risk preterm infants or older children with brain injuries, research in children of early age is lacking. Aim: To assess several aspects of visual function in preterm infants with brain injuries and to compare them with another group of low-risk preterm infants of the same age. Study design and subjects: Forty-eight preterm infants with brain injuries and 56 low-risk preterm infants. Outcome measures: The ML Leonhardt Battery of Optotypes was used to assess visual functions. This test was previously validated at a post-menstrual age of 40 weeks in newborns and at 30-plus weeks in preterm infants. Results: The group of preterminfants with brain lesions showed a delayed pattern of visual functions in alertness, fixation, visual attention and tracking behavior compared to infants in the healthy preterm group. The differences between both groups, in the visual behaviors analyzed were around 30%. These visual functions could be identified from the first weeks of life. Conclusion: Our results confirm the importance of using a straightforward screening test with preterminfants in order to assess altered visual function, especially in infants with brain injuries. The findings also highlight the need to provide visual stimulation very early on in life.

Sensor Fusion of Proprioception, Force and Vision in Estimation and Robot

Sensor-based robot control allows manipulation in dynamic environments with uncertainties. Vision is a versatile low-cost sensory modality, but low sample rate, high sensor delay and uncertain measurements limit its usability, especially in strongly dynamic environments. Force is a complementary sensory modality allowing accurate measurements of local object shape when a tooltip is in contact with the object. In multimodal sensor fusion, several sensors measuring different modalities are combined to give a more accurate estimate of the environment. As force and vision are fundamentally different sensory modalities not sharing a common representation, combining the information from these sensors is not straightforward. In this thesis, methods for fusing proprioception, force and vision together are proposed. Making assumptions of object shape and modeling the uncertainties of the sensors, the measurements can be fused together in an extended Kalman filter. The fusion of force and visual measurements makes it possible to estimate the pose of a moving target with an end-effector mounted moving camera at high rate and accuracy. The proposed approach takes the latency of the vision system into account explicitly, to provide high sample rate estimates. The estimates also allow a smooth transition from vision-based motion control to force control. The velocity of the end-effector can be controlled by estimating the distance to the target by vision and determining the velocity profile giving rapid approach and minimal force overshoot. Experiments with a 5-degree-of-freedom parallel hydraulic manipulator and a 6-degree-of-freedom serial manipulator show that integration of several sensor modalities can increase the accuracy of the measurements significantly.

Counselling on limited preoperative fasting in paediatric ambulatory tonsillectomy

Rajoitetun preoperatiivisen paaston ohjaus lasten päiväkirurgisessa nielurisaleikkauksessa Tutkimuksen tarkoituksena oli selvittää, onko sairaanhoitajan toteuttama, vanhempien interaktiivinen preoperatiivinen ohjaus lapsen rajoitettuun preoperatiiviseen paastoon ja aktiiviseen nesteyttämiseen turvallista, kuinka vanhemmat omaksuvat kyseistä tietoa ja edistääkö se turvallisesti lapsen postoperatiivista toipumista päiväkirurgisen nielurisaleikkauksen jälkeen. Aineisto koostui sadastakuudestatoista perheestä, joiden lapsi, iältään 4 – 10 vuotta, oli kutsuttu päiväkirurgiseen nielurisaleikkaukseen. Koeryhmä (n= 58) ohjattiin interaktiivisesti lapsen preoperatiiviseen paastoon ja aktiiviseen preoperatiiviseen nesteyttämiseen. Lapsen suositellut preoperatiiviset paastoajat olivat: 4t syömättä ja 2t juomatta. Leikkauspäivän aamuna vanhemmat rohkaisivat lapsia juomaan annokset kirkkaita nesteitä kahteen otteeseen; jälkimmäinen annos 2t ennen leikkausta. Kontrolliryhmä (n= 58) sai preoperatiivisen ohjauksen kirjallisena ilman interaktiivista ohjausta; paastoajat olivat samat kuin koeryhmässä: 4t syömättä ja 2t juomatta. Vanhempien tiedontasoa lapsen leikkaukseen liittyvästä paastosta mitattiin tietotestillä, joka sisälsi myös preoperatiivista tiedontarvetta ja ahdistusta mittaavan mittarin (The Amsterdam Preoperative Anxiety and Information scale, APAIS). Mittaukset suoritettiin ennen preoperatiivista ohjausta tai kirjallisten ohjeiden lähettämistä sekä lapsen leikkausta seuraavana päivänä. Lapsen leikkauksen jälkeen vanhemmat arvioivat myös heille välitetyn informaation tasoa. Lapsen postoperatiivista kipua, pahoinvointia, janoa ja nälkää lapset itse arvioivat VAS- asteikolla (10cm), ja vanhemmat ja sairaanhoitajat numeerisella 0 – 10 asteikolla. Mittaukset suoritettiin 2t, 4t, 8t, ja 24t lapsen leikkauksen jälkeen. Vanhemmat pitivät päiväkirjaa lapsen ravinnosta ja kipulääkityksestä. Aineisto analysoitiin sekä tilastollisesti että sisällön analyysilla. Vanhempien tiedontaso lapsen leikkauksen jälkeen oli molemmissa ryhmissä merkitsevästi parantunut, mutta kontrolliryhmän vanhempien ahdistus ei ollut helpottanut verrattuna heidän ahdistukseensa ennen lapsen leikkausta. Mitä korkeammat pisteet vanhemmat saivat tietotestistä lapsen leikkauksen jälkeen sitä vähemmän he tunsivat tiedontarvetta ja ahdistusta. Merkitsevästi alhaisemmat pisteet tietotestistä oli vanhemmilla, joilla oli alempi peruskoulutus. Kontrolliryhmän lapset paastosivat preoperatiivisesti merkitsevästi pitempään kuin koeryhmän lapset. Perioperatiivisesti lapset paastosivat kiinteästä ruuasta yhtä kauan, mutta nesteistä kontrolliryhmä merkitsevästi pitempään. Postoperatiivisen toipumisen alussa koeryhmän lapset olivat merkitsevästi kivuttomampia. Molemmissa ryhmissä lapset olivat kipeimpiä kahdeksan tuntia leikkauksesta ja pahoinvointisimpia neljä tuntia leikkauksesta. Ensimmäisen kahdeksan tunnin aikana leikkauksen jälkeen lapset eivät olleet janoisia tai nälkäisiä, mutta VAS- arvot koeryhmässä jäivät alhaisemmalle tasolle kuin kontrolliryhmässä 24 postoperatiivisen tunnin ajan. Leikkausta seuraavana aamuna kontrolliryhmän lapset olivat merkitsevästi janoisempia ja nälkäisempiä kuin interventioryhmän lapset. Sairaanhoitajan toteuttama vanhempien interaktiivinen preoperatiivinen ohjaus lapsen rajoitettuun preoperatiiviseen paastoon lisää vanhempien tiedontasoa ja vähentää preoperatiivista tiedontarvettaan ja ahdistusta, ja turvallisesti parantaa lapsen kokemusta leikkausprosessin ja postoperatiivisen toipumisen aikana nielurisaleikkauksen jälkeen. Kaikkien leikkaukseen tulevien lasten nesteyttäminen kaksi tuntia ennen päivän ensimmäistä leikkausta voi olla ratkaisu lasten kohtuuttomien perioperatiivisten paastoaikojen estämiseksi. Aina ei kuitenkaan ole mahdollisuuksia vanhempien henkilökohtaiseen kohtaamiseen, mikä haastaa hoitotieteellisen tutkimuksen kartoittamaan muita mahdollisuuksia vanhempien interaktiiviseen ohjaukseen.

Experimental validation of a 3-D vision-based measurement system applied to robot calibration

One of the problems that slows the development of off-line programming is the low static and dynamic positioning accuracy of robots. Robot calibration improves the positioning accuracy and can also be used as a diagnostic tool in robot production and maintenance. A large number of robot measurement systems are now available commercially. Yet, there is a dearth of systems that are portable, accurate and low cost. In this work a measurement system that can fill this gap in local calibration is presented. The measurement system consists of a single CCD camera mounted on the robot tool flange with a wide angle lens, and uses space resection models to measure the end-effector pose relative to a world coordinate system, considering radial distortions. Scale factors and image center are obtained with innovative techniques, making use of a multiview approach. The target plate consists of a grid of white dots impressed on a black photographic paper, and mounted on the sides of a 90-degree angle plate. Results show that the achieved average accuracy varies from 0.2mm to 0.4mm, at distances from the target from 600mm to 1000mm respectively, with different camera orientations.

Vision-based localization of an underwater robot in a structured environment

This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and real-time computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system

Towards a real-time vision-based navigation system for a small-class UUV

This paper deals with the problem of navigation for an unmanned underwater vehicle (UUV) through image mosaicking. It represents a first step towards a real-time vision-based navigation system for a small-class low-cost UUV. We propose a navigation system composed by: (i) an image mosaicking module which provides velocity estimates; and (ii) an extended Kalman filter based on the hydrodynamic equation of motion, previously identified for this particular UUV. The obtained system is able to estimate the position and velocity of the robot. Moreover, it is able to deal with visual occlusions that usually appear when the sea bottom does not have enough visual features to solve the correspondence problem in a certain area of the trajectory

VLSI architecture for an Underwater Robot Vision System

It is well known that image processing requires a huge amount of computation, mainly at low level processing where the algorithms are dealing with a great number of data-pixel. One of the solutions to estimate motions involves detection of the correspondences between two images. For normalised correlation criteria, previous experiments shown that the result is not altered in presence of nonuniform illumination. Usually, hardware for motion estimation has been limited to simple correlation criteria. The main goal of this paper is to propose a VLSI architecture for motion estimation using a matching criteria more complex than Sum of Absolute Differences (SAD) criteria. Today hardware devices provide many facilities for the integration of more and more complex designs as well as the possibility to easily communicate with general purpose processors

Enhancing change detection in low-quality surveillance footage using markov random fields

Urban surveillance footage can be of poor quality, partly due to the low quality of the camera and partly due to harsh lighting and heavily reflective scenes. For some computer surveillance tasks very simple change detection is adequate, but sometimes a more detailed change detection mask is desirable, eg, for accurately tracking identity when faced with multiple interacting individuals and in pose-based behaviour recognition. We present a novel technique for enhancing a low-quality change detection into a better segmentation using an image combing estimator in an MRF based model.

The implementation of a low-cost production-line inspection system

This article describes an application of computers to a consumer-based production engineering environment. Particular consideration is given to the utilisation of low-cost computer systems for the visual inspection of components on a production line in real time. The process of installation is discussed, from identifying the need for artificial vision and justifying the cost, through to choosing a particular system and designing the physical and program structure.

‘Low carbon’ scenarios, roadmaps, transitions and pathways: an overview and discussion

There are a range of studies based in the low carbon arena which use various ‘futures’- based techniques as ways of exploring uncertainties. These techniques range from ‘scenarios’ and ‘roadmaps’ through to ‘transitions’ and ‘pathways’ as well as ‘vision’-based techniques. The overall aim of the paper is therefore to compare and contrast these techniques to develop a simple working typology with the further objective of identifying the implications of this analysis for RETROFIT 2050. Using recent examples of city-based and energy-based studies throughout, the paper compares and contrasts these techniques and finds that the distinctions between them have often been blurred in the field of low carbon. Visions, for example, have been used in both transition theory and futures/Foresight methods, and scenarios have also been used in transition-based studies as well as futures/Foresight studies. Moreover, Foresight techniques which capture expert knowledge and map existing knowledge to develop a set of scenarios and roadmaps which can inform the development of transitions and pathways can not only help potentially overcome any ‘disconnections’ that may exist between the social and the technical lenses in which such future trajectories are mapped, but also promote a strong ‘co-evolutionary’ content.

Disparity-driven vs blur-driven models of accommodation and convergence in binocular vision and intermittent strabismus

Background. Current models of concomitant, intermittent strabismus, heterophoria, convergence and accommodation anomalies are either theoretically complex or incomplete. We propose an alternative and more practical way to conceptualize clinical patterns. Methods. In each of three hypothetical scenarios (normal; high AC/A and low CA/C ratios; low AC/A and high CA/C ratios) there can be a disparity-biased or blur-biased “style”, despite identical ratios. We calculated a disparity bias index (DBI) to reflect these biases. We suggest how clinical patterns fit these scenarios and provide early objective data from small illustrative clinical groups. Results. Normal adults and children showed disparity bias (adult DBI 0.43 (95%CI 0.50-0.36), child DBI 0.20 (95%CI 0.31-0.07) (p=0.001). Accommodative esotropes showed less disparity-bias (DBI 0.03). In the high AC/A and low CA/C scenario, early presbyopes had mean DBI of 0.17 (95%CI 0.28-0.06), compared to DBI of -0.31 in convergence excess esotropes. In the low AC/A and high CA/C scenario near exotropes had mean DBI of 0.27, while we predict that non-strabismic, non-amblyopic hyperopes with good vision without spectacles will show lower DBIs. Disparity bias ranged between 1.25 and -1.67. Conclusions. Establishing disparity or blur bias, together with knowing whether convergence to target demand exceeds accommodation or vice versa explains clinical patterns more effectively than AC/A and CA/C ratios alone. Excessive bias or inflexibility in near-cue use increases risk of clinical problems. We suggest clinicians look carefully at details of accommodation and convergence changes induced by lenses, dissociation and prisms and use these to plan treatment in relation to the model.

Low rank representation on Riemannian manifold of symmetric positive definite matrices

Sparse coding aims to find a more compact representation based on a set of dictionary atoms. A well-known technique looking at 2D sparsity is the low rank representation (LRR). However, in many computer vision applications, data often originate from a manifold, which is equipped with some Riemannian geometry. In this case, the existing LRR becomes inappropriate for modeling and incorporating the intrinsic geometry of the manifold that is potentially important and critical to applications. In this paper, we generalize the LRR over the Euclidean space to the LRR model over a specific Rimannian manifold—the manifold of symmetric positive matrices (SPD). Experiments on several computer vision datasets showcase its noise robustness and superior performance on classification and segmentation compared with state-of-the-art approaches.

Effects of computer reminders on complications of peripheral venous catheters and nurses' adherence to a guideline in paediatric care : a cluster randomised study

BACKGROUND: Reminder systems in electronic patient records (EPR) have proven to affect both health care professionals' behaviour and patient outcomes. The aim of this cluster randomised trial was to investigate the effects of implementing a clinical practice guideline (CPG) for peripheral venous catheters (PVCs) in paediatric care in the format of reminders integrated in the EPRs, on PVC-related complications, and on registered nurses' (RNs') self-reported adherence to the guideline. An additional aim was to study the relationship between contextual factors and the outcomes of the intervention. METHODS: The study involved 12 inpatient units at a paediatric university hospital. The reminders included choice of PVC, hygiene, maintenance, and daily inspection of PVC site. Primary outcome was documented signs and symptoms of PVC-related complications at removal, retrieved from the EPR. Secondary outcome was RNs' adherence to a PVC guideline, collected through a questionnaire that also included RNs' perceived work context, as measured by the Alberta Context Tool. Units were allocated into two strata, based on occurrence of PVCs. A blinded simple draw of lots from each stratum randomised six units to the control and intervention groups, respectively. Units were not blinded. The intervention group included 626 PVCs at baseline and 618 post-intervention and the control group 724 PVCs at baseline and 674 post-intervention. RNs included at baseline were 212 (65.4 %) and 208 (71.5 %) post-intervention. RESULTS: No significant effect was found for the computer reminders on PVC-related complications nor on RNs' adherence to the guideline recommendations. The complication rate at baseline and post-intervention was 40.6 % (95 % confidence interval (CI) 36.7-44.5) and 41.9 % (95 % CI 38.0-45.8), for the intervention group and 40.3 % (95 % CI 36.8-44.0) and 46.9 % (95 % CI 43.1-50.7) for the control. In general, RNs' self-rated work context varied from moderately low to moderately high, indicating that conditions for a successful implementation to occur were less optimal. CONCLUSIONS: The reminders might have benefitted from being accompanied by a tailored intervention that targeted specific barriers, such as the low frequency of recorded reasons for removal, the low adherence to daily inspection of PVC sites, and the lack of regular feedback to the RNs. TRIAL REGISTRATION: Current Controlled Trials ISRCTN44819426.

Clinical presentation and salivary gland histopathology of paediatric primary Sjogren's syndrome

ObjectiveExplore the presentation, diagnostic criteria and exocrine gland histopathology of paediatric primary Sjogren's syndrome (PPSjS).MethodsA case series of 8 children is reported and American-European Consensus Group (AECG-2002) criteria were examined, as well as minor labial salivary and lachrymal gland biopsies, which were scored by a pathologist blinded to outcome. For all cases, connective tissue diseases and parotid-related infectious disease were excluded.ResultsAge at onset varied from 5-13 years old; 6 were females, all followed from diagnosis up to the last visit (1-10 years). The main features at presentation were recurrent tender parotid swelling and sialectasis imaging, with decreased salivary function assessed by Tc-99 scintigraphy. Mild sicca symptoms were observed in 4/8 cases. Systemic features, including fatigue, myalgia, arthritis, tenosynovitis, joint contractures, transient Raynaud's and high ESR, were recorded at onset. Autoantibody profile was unremarkable for diagnosis, while lymphocytic infiltration of labial salivary glands and sialectasis were observed in all biopsies (8/8). In lachrymal glands, massive lymphocytic infiltration and lymphocytic gastritis were observed during complementary assessment. Flares were treated with low dose steroids and long-term use of hydroxychloroquine (5/8), although only 318 fulfilled AECG-2002 diagnostic criteria, throughout the disease course.ConclusionPPSjS is rare, slowly progressive and its early presentation is variable. Standardised diagnostic algorithms should include recurrent parotid swelling and early diagnosis should rely mostly on salivary and lachrymal gland histopathology in this age group.

A low cost structured light system

The aim of this paper is to present the current development status of a low cost system for surface reconstruction with structured light. The acquisition system is composed of a single off-the-shelf digital camera and a pattern projector. A pattern codification strategy was developed to allow the pattern recognition automatically and a calibration methodology ensures the determination of the direction vector of each pattern. The experiments indicated that an accuracy of 0.5mm in depth could be achieved for typical applications.