Corpo afetado: uma experiência de autorrastreamento com uma tecnologia vestível / Affected body: a self-tracking experience with a wearable technology / Cuerpo afectado: una experiencia de autoseguimiento con una tecnología vestible

RESUMO Este artigo explora a produção de significados sobre prática de dados na cultura digital a partir de uma experiência de autorrastreamento de exercícios físicos. O objetivo é problematizar a emergência de um corpo que afetou e foi afetado por uma tecnologia vestível durante uma experiência de autorrastreamento. Metodologicamente, o trabalho seguiu o formato de um relato ator-rede pautado por uma vivência de autorrastreamento. Em sua composição analítica-descritiva, o texto articula elementos da Teoria Ator-Rede e conceitos que enredam estudos de autorrastreamento como prática de dados. Foi possível identificar mobilizadores do "faz-fazer" produzido nas múltiplas afetações de um corpo híbrido, performativo e sensível às diferenças registradas no mundo.

ABSTRACT This article explores the production of meanings about data practices in digital culture based on an experience of self-tracking physical exercises. The aim is to problematize the emergence of a body that affected and was affected by a wearable technology during a self-tracking experience. Methodologically, the work followed the format of an actor-network report guided by an experience of self-tracking. In its analytical-descriptive composition, the text articulates elements of the Actor-Network Theory and concepts that entangle self-tracking studies as a data practice. It was possible to identify mobilizers of the "making-do" produced in the multiple affectations of a hybrid body, performative and sensitive to the differences registered in the world.

RESUMEN Este artículo explora la producción de significados sobre práctica de datos en la cultura digital a partir de una experiencia de autoseguimiento de ejercicios físicos. El objetivo es problematizar la emergencia de un cuerpo que afectó y fue afectado por una tecnología vestible durante una experiencia de autoseguimiento. Metodológicamente, el trabajo siguió el formato de un informe actor-red pautado por una experiencia de autoseguimiento. En su composición analítico-descriptiva, el texto articula elementos de la Teoría del Actor-Red y conceptos que enredan estudios de autoseguimiento como práctica de datos. Fue posible identificar movilizadores del 'hace-hacer' producido en las múltiples afectaciones de un cuerpo híbrido, performativo y sensible a las diferencias registradas en el mundo.

Pedometers and Accelerometers in Multiple Sclerosis: Current and New Applications.

Pedometers and accelerometers have become commonplace for the assessment of physical behaviors (e.g., physical activity and sedentary behavior) in multiple sclerosis (MS) research. Current common applications include the measurement of steps taken and the classification of physical activity intensity, as well as sedentary behavior, using cut-points methods. The existing knowledge and applications, coupled with technological advances, have spawned new opportunities for using those motion sensors in persons with MS, and these include the utilization of the data as biomarkers of disease severity and progression, perhaps in clinical practice. Herein, we discuss the current state of knowledge on the validity and applications of pedometers and accelerometers in MS, as well as new opportunities and strategies for the improved assessment of physical behaviors and disease progression, and consequently, personalized care.

Augmented reality in interventional radiology education: a systematic review of randomized controlled trials

ABSTRACT BACKGROUND: Augmented reality (AR) involves digitally overlapping virtual objects onto physical objects in real space so that individuals can interact with both at the same time. AR in medical education seeks to reduce surgical complications through high-quality education. There is uncertainty in the use of AR as a learning tool for interventional radiology procedures. OBJECTIVE: To compare AR with other learning methods in interventional radiology. DESIGN AND SETTING: Systematic review of comparative studies on teaching techniques. METHODS: We searched the Cochrane Library, MEDLINE, Embase, Tripdatabase, ERIC, CINAHL, SciELO and LILACS electronic databases for studies comparing AR simulation with other teaching methods in interventional radiology. This systematic review was performed in accordance with PRISMA and the BEME Collaboration. Eligible studies were evaluated using the quality indicators provided in the BEME Collaboration Guide no. 11, and the Kirkpatrick model. RESULTS: Four randomized clinical trials were included in this review. The level of educational evidence found among all the papers was 2B, according to the Kirkpatrick model. The Cochrane Collaboration tool was applied to assess the risk of bias for individual studies and across studies. Three studies showed an improvement in teaching of the proposed procedure through AR; one study showed that the participants took longer to perform the procedure through AR. CONCLUSION: AR, as a complementary teaching tool, can provide learners with additional skills, but there is still a lack of studies with a higher evidence level according to the Kirkpatrick model. SYSTEMATIC REVIEW REGISTRATION NUMBER: DOI 10.17605/OSF.IO/ACZBM in the Open Science Framework database.

Wearable electrochemical biosensors to measure biomarkers with complex blood-to-sweat partition such as proteins and hormones.

Smart electronic devices based on micro-controllers, also referred to as fashion electronics, have raised wearable technology. These devices may process physiological information to facilitate the wearer's immediate biofeedback in close contact with the body surface. Standard market wearable devices detect observable features as gestures or skin conductivity. In contrast, the technology based on electrochemical biosensors requires a biomarker in close contact with both a biorecognition element and an electrode surface, where electron transfer phenomena occur. The noninvasiveness is pivotal for wearable technology; thus, one of the most common target tissues for real-time monitoring is the skin. Noninvasive biosensors formats may not be available for all analytes, such as several proteins and hormones, especially when devices are installed cutaneously to measure in the sweat. Processes like cutaneous transcytosis, the paracellular cell-cell unions, or even reuptake highly regulate the solutes content of the sweat. This review discusses recent advances on wearable devices based on electrochemical biosensors for biomarkers with a complex blood-to-sweat partition like proteins and some hormones, considering the commented release regulation mechanisms to the sweat. It highlights the challenges of wearable epidermal biosensors (WEBs) design and the possible solutions. Finally, it charts the path of future developments in the WEBs arena in converging/emerging digital technologies.

Integrated wearable and self-carrying active upper limb orthosis.

The aim of this study was to develop a prototype of an orthotic system that can be used as a support tool in the rehabilitation of the upper limb. The construction of this device was motivated by the increasing number of subjects suffering from full or partial loss of the upper limb function as a consequence of spinal cord injuries, strokes, occupational syndromes and sports injuries. The majority of procedures used in upper limb rehabilitation consist of repetitive movements enforced by physiotherapists; a robotic device executing the same tasks seems to be a plausible solution if the orthosis can be programmed and controlled automatically. This study reports the mechanical design, electronic instrumentation and automatic control of an upper limb orthosis made of plastic polymer that makes the orthosis a wearable and self-carrying device. The orthosis consisted of a mechatronic device with five joints. The pieces made by a three-dimensional plastic printer were used to construct the device leading to a total weight of 2.6 kg. The application of a robust automatic controller based on the sliding-mode theory forces the movement of the arm, while taking into account the constraints in each angular displacement of the orthosis. A set of reference trajectories designed to represent the usual movements of a healthy upper limb served for evaluating the controller execution. The orthosis was tested on 15 volunteers with a maximum experimental steady-state error of 2% in the angular deviation of all articulations with respect to their reference trajectories.

An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education.

The traditional neurosurgical apprenticeship scheme includes the assessment of trainee's manual skills carried out by experienced surgeons. However, the introduction of surgical simulation technology presents a new paradigm where residents can refine surgical techniques on a simulator before putting them into practice in real patients. Unfortunately, in this new scheme, an experienced surgeon will not always be available to evaluate trainee's performance. For this reason, it is necessary to develop automatic mechanisms to estimate metrics for assessing manual dexterity in a quantitative way. Authors have proposed some hardware-software approaches to evaluate manual dexterity on surgical simulators. This paper presents IGlove, a wearable device that uses inertial sensors embedded on an elastic glove to capture hand movements. Metrics to assess manual dexterity are estimated from sensors signals using data processing and information analysis algorithms. It has been designed to be used with a neurosurgical simulator called Daubara NS Trainer, but can be easily adapted to another benchtop- and manikin-based medical simulators. The system was tested with a sample of 14 volunteers who performed a test that was designed to simultaneously evaluate their fine motor skills and the IGlove's functionalities. Metrics obtained by each of the participants are presented as results in this work; it is also shown how these metrics are used to automatically evaluate the level of manual dexterity of each volunteer.