Insights on an automated fall detection device designed for older adult wheelchair and scooter users: A qualitative study

A mixed-methods study examining perceptions of fear of falling among community-dwelling people who use wheelchairs full-time

Objective: There is growing evidence that fear of falling (FOF) is common in people who use wheelchairs full-time and negatively influence their performance of daily activities and quality of life. The purpose of this study was to gain an in-depth understanding of perceptions related to FOF among people who use wheelchairs full-time.Methods: Mixed-method analysis was conducted using semi-structured interviews and surveys to gain insight into FOF. Surveys included demographic information; Spinal Cord Injury-Fall Concerns Scale (SCI-FCS); a questionnaire that directly assesses FOF and associated activity curtailment; and Fall Control Scale (FCS).Results: Among 39 participants (age = 43.1 ± 15.6 years, disability duration = 21.2 ± 11.1 years), 27 participants (69%) reported FOF. Participants with less perceived ability to control falls indexed by FCS reported higher SCI-FCS scores, indicating greater FOF (rs = -0.384, p = 0.016). Qualitative findings revealed that participants felt that FOF developed due to sustaining fall-related injuries or limited ability to recover from a fall. Some participants perceived falling as a part of their lives. They believed that it was not the cause of developing FOF.Conclusions: Among people who use wheelchairs full-time, FOF is prevalent and may develop due to fears of sustaining injuries or being unable to get up after falling. Developing an evidenced-based education protocol aimed at managing falls (e.g., establishing a fall recovery strategy and education on techniques to reduce injury during falls) is needed to minimize FOF people who use wheelchairs full-time.

Characteristics and Consequences of Falls in People Who Use Wheelchairs in Long-Term Care Settings

OBJECTIVES

The purpose of this study was to understand the characteristics and consequences of falls in individuals using wheelchairs in long-term care settings.

DESIGN

Observational analysis of real-world falls in long-term care.

SETTING AND PARTICIPANTS

Residents using wheelchairs from 2 long-term care facilities in British Columbia, Canada (n = 32 participants, mean age = 84.7 years, 12 women).

METHODS

Two raters used the validated Falls Video Analysis Questionnaire, adapted from the original version, to assess the causal, behavioral, and environmental aspects of falls from wheelchairs.

RESULTS

A total of 58 wheelchair fall videos were identified out of 300 total videos that were collected from 2007 to 2014. Wheelchair falls were most often caused by incorrect transfer or shift of body weight (70.7%). Participants most often fell backward with 89.7% striking their pelvis. Individuals using wheelchairs had limited protective response, with only 10.3% demonstrating a step response. Improper brake position contributed to 67.2% of falls. No serious fall-related injuries were reported.

CONCLUSIONS AND IMPLICATIONS

The findings highlight the unique nature of falls in older adults who use wheelchairs in long-term care settings. Overall, the results of this study support clinical practice and the critical need for developing specialized fall prevention and fall detection interventions for individuals who use wheelchairs in long-term care.

[Functionality and everyday suitability of commercially wristwear products for frail older people - a comparative product testing]

BACKGROUND AND AIM

There is a wide range of smartwatches and emergency watches on the market that are specifically designed for older people. The products are freely available, which is why there is an urgent need for information about the reliability and functionality of the products among potential users, but also health professionals and decision-makers. As part of a systematic product comparison test, the functionality and quality of seven smartwatches were investigated.

METHOD

Four watches for seniors, one watch for adults and two watches for children, but with comparable functionalities, were included in the test. For the test, real-life situations were simulated and, in addition to emergency calls, GPS tracking, fall detection and geofencing, the battery life, call quality, stability/robustness of the products and service/support were evaluated. From the total number of points, a grade was determined based on the German school grading system (1 = very good to 6 = insufficient).

RESULTS

All smartwatches evaluated were rated at least "3-satisfactory". The two best-rated watches received a score of 1.8. The differences were particularly evident in the emergency call functionality, battery life, precision of the tracking function, and service/support. The call quality, with one exception, and the stability/robustness were consistently rated as "1-very good". Three watches in the test were able to detect falls with variable results.

CONCLUSION

The functionality and usability of the tested products differed considerably. A focus on a few main functions can even provide added value for older, frail people. Continuous comparative testing of products for this target group with new and updated products is desirable.

Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniques

Automated fall detection devices for individuals who use wheelchairs to minimize the consequences of falls are lacking. This study aimed to develop and train a fall detection algorithm to differentiate falls from wheelchair mobility activities using machine learning techniques. Thirty, healthy, ambulatory, young adults simulated falls from a wheelchair and performed other wheelchair-related mobility activities in a laboratory. Neural Network classifiers were used to train the algorithm developed based on data retrieved from accelerometers mounted at the participant's wrist, chest, and head. Results indicate excellent accuracy to differentiate between falls and wheelchair mobility activities. The sensors mounted at the wrist, chest, and head presented with an accuracy of 100%, 96.9%, and 94.8%, respectively, using data from 258 falls and 220 wheelchair mobility activities. This pilot study indicates that a fall detection algorithm developed in a laboratory setting based on fall accelerometer patterns can accurately differentiate wheelchair-related falls and wheelchair mobility activities. This algorithm should be integrated into a wrist-worn devices and tested among individuals who use a wheelchair in the community.

Design and Evaluation of the Extended FBS Model Based Gaze-Control Power Wheelchair for Individuals Facing Manual Control Challenges

This study addresses the challenges faced by individuals with upper limb disadvantages in operating power wheelchair joysticks by utilizing the extended Function-Behavior-Structure (FBS) model to identify design requirements for an alternative wheelchair control system. A gaze-controlled wheelchair system is proposed based on design requirements from the extended FBS model and prioritized using the MosCow method. This innovative system relies on the user's natural gaze and comprises three levels: perception, decision making, and execution. The perception layer senses and acquires information from the environment, including user eye movements and driving context. The decision-making layer processes this information to determine the user's intended direction, while the execution layer controls the wheelchair's movement accordingly. The system's effectiveness was validated through indoor field testing, with an average driving drift of less than 20 cm for participates. Additionally, the user experience scale revealed overall positive user experiences and perceptions of the system's usability, ease of use, and satisfaction.