Due to pathologies or age-related problems, in some disabled people, motor impairment is associated with cognitive and/or visual impairments. This combination of limitations unfortunately leads to an inability to move around independently. Indeed, their situation does not allow them to use a conventional electric wheelchair, for safety reasons, and for the moment there is no other technological solution providing safe movement capacity. This lack of access to an autonomous travel solution has the consequence of weakening the intellectual, personal, social, cultural and moral development, as well as the life expectancy, of the people concerned. In this context, our team is working on the development of an optoelectronic system that secures the displacement of electric wheelchairs. This is a large project that requires the development of several functionalities such as: the anti-collision of the wheelchair with its environment, the prevention of falls from the wheelchair on uneven levels, and the adaptation of the system mechanically and electronically to the majority of commercially available electric wheelchair models, among others. In this article, we introduce our solution for detecting dangerous height differences, also called "negative obstacles", through the creation of a dedicated sensor. This sensor works by optical triangulation and can embed several laser beams in order to extend its detection zone. It has the particularity of being robust in direct sunlight and rain and has a sufficiently high measurement rate to be suitable for the displacement of electric wheelchairs. We develop an adapted algorithm, and point out compromises, in particular between the orientation of the laser beams and the maximal speed of the wheelchair.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512113PMC
http://dx.doi.org/10.3390/s21196341DOI Listing

Publication Analysis

Top Keywords

electric wheelchair
12
displacement electric
8
electric wheelchairs
8
laser beams
8
wheelchair
6
electric
5
development
4
development negative
4
negative obstacle
4
obstacle sensor
4

Similar Publications

Time Efficiency and Ergonomic Assessment of a Robotic Wheelchair Transfer System.

Sensors (Basel)

November 2024

Human Engineering Research Laboratories, Department of VA Pittsburgh Healthcare System, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15206, USA.

: Caregivers experience high rates of occupational injuries, especially during wheelchair transfers, which often result in back pain and musculoskeletal disorders due to the physical demands of lifting and repositioning. While mechanical floor lifts, the current standard, reduce back strain, they are time-consuming and require handling techniques that subject caregivers to prolonged and repeated non-neutral trunk postures, increasing the risk of long-term back injuries. : The aim was to assess the time efficiency and ergonomics of the powered personal transfer system (PPTS), a robotic transfer device designed for bed-to/from-wheelchair transfers.

View Article and Find Full Text PDF
Article Synopsis
  • A patient suffered a severe electrical burn to the scalp from a high-voltage power line while cherry picking, resulting in significant tissue damage and an extradural abscess.* -
  • The patient's condition included progressive global weakness, and he required urgent surgery to manage the infection and reconstruct the scalp using a free myocutaneous anterolateral thigh flap.* -
  • Post-surgery, there were no complications, but the patient experienced limited functional recovery and now needs full-time care, being able to mobilize independently in a wheelchair.*
View Article and Find Full Text PDF

An effective classification approach for EEG-based motor imagery tasks combined with attention mechanisms.

Cogn Neurodyn

October 2024

College of Electrical Engineering and Automation, Fuzhou University, Fuzhou,, 350108 Fujian China.

Currently, electroencephalogram (EEG)-based motor imagery (MI) signals have been received extensive attention, which can assist disabled subjects to control wheelchair, automatic driving and other activities. However, EEG signals are easily affected by some factors, such as muscle movements, wireless devices, power line, etc., resulting in the low signal-to-noise ratios and the worse recognition results on EEG decoding.

View Article and Find Full Text PDF

Determinants of Between-Person Variation in Shoulder Pain in Individuals With Spinal Cord Injury: A Population-Based Cohort Study.

Am J Phys Med Rehabil

November 2024

From the Neuro-musculoskeletal Functioning and Mobility Group, Swiss Paraplegic Research, Nottwil, Switzerland (FMB, UM, UA); Institute for Biomechanics, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland (FMB); Life Course Epidemiology Group, Swiss Paraplegic Research, Nottwil, Switzerland (MWGB); Swiss Paraplegic Centre, Nottwil, Switzerland (IE-H); Faculty of Health Science and Medicine, University Lucerne, Lucerne, Switzerland (IE-H, UM, MWGB); and Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland (MS).

Article Synopsis
  • The study evaluated factors affecting shoulder pain among individuals with spinal cord injury in Switzerland, using data from surveys conducted in 2012, 2017, and 2022.
  • The analysis found that 34.4% of respondents reported shoulder pain, with females, individuals with spasticity or contractures, those experiencing depression, and those with incomplete tetraplegia being at higher risk.
  • Overall, findings highlight the importance of gender, injury severity, time since injury, health conditions, and wheelchair use as key determinants of shoulder pain variability among affected individuals.
View Article and Find Full Text PDF

This review reports on the use of sensors in wheelchair sports to monitor and analyze performance during match and training time. With rapid advancements in electronics and related technologies, understanding performance metrics in wheelchair sports is essential. We reviewed nine studies using various sensor types, including electric motors, inertial measurement units, miniaturized data loggers with magnetic reed switches, and smartphones with inbuilt accelerometers and gyroscopes, operating at frequencies from 8 Hz to 1200 Hz.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!