Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot.

Robots are being increasingly used in the fight against highly-infectious diseases such as Ebola, MERS, and SARS-COV-2. Many of the robots that are being used employ ultraviolet lights mounted on a mobile base to inactivate the pathogens. However, these lights are often mounted in a fixed configuration and do not provide adequate decontamination of horizontal surfaces, which can be a major source of cross-contamination. In the paper, we describe the design, implementation, and testing of an Ultraviolet Germicidal Irradiation (UVGI) system implemented on a mobile manipulation robot. A human supervisor designates a surface for disinfection, the robot autonomously plans and executes an end-effector trajectory to disinfect the surface to the required certainty, and then displays the results for the human supervisor to verify. We also provide some background information on UVGI and describe how we constructed and validated mathematical models of Ultraviolet (UV) radiation propagation and accumulation. Finally, we describe our implementation on a Fetch mobile manipulation platform, and discuss how the practicalities of implementation on a real robot affect our models.

Perceived Barriers Before and After a 3-Month Period of Modified Ride-On Car Use.

PURPOSE: The purpose of the study is to examine how perceived barriers change before and after a 3-month period of modified ride-on car use. METHODS: This study used a qualitative content analysis of perceived barriers. Fourteen caregivers (13 mothers; 1 grandmother) responded to a single-question, free-response survey before and after a 3-month period of modified ride-on car use. RESULTS: A total of 11 and 20 perceived barriers were reported before and after the 3-month period. Environmental barriers were the most frequently reported before and after the 3-month period. CONCLUSIONS: Pediatric physical therapists need to be aware of the potential perceived barriers that families may experience in regard to young children with disabilities using modified ride-on cars and determine strategies to support families on an individual basis.

Perceived Barriers of Modified Ride-On Car Use of Young Children With Disabilities: A Content Analysis.

PURPOSE: Modified ride-on cars have emerged as an early powered mobility option for young children with disabilities. The purpose of this study was to identify, extract, and synthesize perceived barriers of modified ride-on car use reported in previous studies. METHODS: This study was descriptive using a qualitative content analysis of previously published studies identified from a systematic literature search. RESULTS: Categories of perceived barriers were identified: device, environmental, child-related perceived barriers regarding health, tolerance, and abilities, and caregiver-related perceived barriers regarding physical requirements, time, and motivation. Device and environmental perceived barriers were the most reported. CONCLUSIONS: Pediatric physical therapists play a critical role in working with families to promote their self-efficacy for using the modified ride-on car and their capacity for overcoming the inherent difficulties associated with use. Most of the reported perceived barriers are modifiable, at least to some degree, with likely effects on modified ride-on car use.

Real World Tracking of Modified Ride-On Car Usage in Young Children With Disabilities.

BACKGROUND: Go Baby Go is a community program that provides modified ride-on cars to young children with disabilities. AIMS: (1) To describe the real world modified ride-on car usage of young children with disabilities; (2) To compare subjectively reported modified ride-on car usage recorded by parents with objectively reported usage based on electronic tracking data. METHODS: 14 young children (1-3 years old) with disabilities used a modified ride-on car for three months. RESULTS: On average, parent-reported activity log data indicated that children used the modified ride-on car for 17.8 minutes per session (SD = 9.9) and 195.1 total minutes (SD = 234.8) over three months. Objective tracking data indicated 16.5 minutes per session (SD = 8.6) and 171.4 total minutes (SD = 206.1) over three months. No significant difference of modified ride-on car usage was found between parent-reported activity log data and objective tracking; yet, the mean absolute difference between tracking methods was 96 minutes (SD = 8.6) and suggests over- or under-reporting of families. Children used the modified ride-on car more in the first half compared to the second half of the three-month period (p < .05). CONCLUSIONS: This study may inform future research studies and local chapters of the Go Baby Go community program.

Decoding motor signals from the pediatric cortex: implications for brain-computer interfaces in children.

OBJECTIVE: To demonstrate the decodable nature of pediatric brain signals for the purpose of neuroprosthetic control. We hypothesized that children would achieve levels of brain-derived computer control comparable to performance previously reported for adults. PATIENTS AND METHODS: Six pediatric patients with intractable epilepsy who were invasively monitored underwent screening for electrocortical control signals associated with specific motor or phoneme articulation tasks. Subsequently, patients received visual feedback as they used these associated electrocortical signals to direct one dimensional cursor movement to a target on a screen. RESULTS: All patients achieved accuracies between 70% and 99% within 9 minutes of training using the same screened motor and articulation tasks. Two subjects went on to achieve maximum accuracies of 73% and 100% using imagined actions alone. Average mean and maximum performance for the 6 pediatric patients was comparable to that of 5 adults. The mean accuracy of the pediatric group was 81% (95% confidence interval [CI]: 71.5-90.5) over a mean training time of 11.6 minutes, whereas the adult group had a mean accuracy of 72% (95% CI: 61.2-84.3) over a mean training time of 12.5 minutes. Maximum performance was also similar between the pediatric and adult groups (89.6% [95% CI: 83-96.3] and 88.5% [95% CI: 77.1-99.8], respectively). CONCLUSIONS: Similarly to adult brain signals, pediatric brain signals can be decoded and used for BCI operation. Therefore, BCI systems developed for adults likely hold similar promise for children with motor disabilities.