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IntroductionUnderstanding repair patterns of upper-limb (UL) prosthetic devices have received little attention compared with their lower-limb counterparts. This study focuses on a retrospective analysis of anonymized UL prosthetic maintenance data to establish if there were any patterns of repairs at a regional prosthetic limb-fitting center in the United Kingdom. A secondary aim of this study is to describe the patient demographics of this center.MethodsData containing prosthetic repair log and demographic description (n = 212) were acquired through our clinical partners and subjected to statistical analyses.ResultsOn average, each client visited the center 0.2 times/year for a new device and 0.9 times/year for maintenance-related activities. It is found that the repair rates are generally higher for body-powered devices (1.28 visits/device per year) compared with passive (0.94 visits/device per year) and externally powered devices (0.90 visits/device per year). In keeping with the typical UK UL-deficient population, there is a high male-to-female ratio, and higher instances of traumatic amputations were noticed for males at the center. There is a very high preponderance of congenital cases and an overall emphasis on prescribing passive devices to a majority of patients at the center.ConclusionsThe data from our study are similar to previously published data from other centers and show a consistent pattern in terms of relative rates of maintenance attendances for different types of UL prostheses.Clinical RelevanceThis study provides a longitudinal perspective and insights on ever-changing requirements (prostheses and related care) of the users at the level of a regional limb-fitting center. This study underscores current gaps in prosthetic device durability/reliability and opens up avenues for improvement of prosthetic services and devices.

Reliable monitoring of one’s response to exercise intensity is imperative to effectively plan and manage training, but not always practical in impact sports settings. This study aimed to evaluate if an inexpensive mobile cardio-respiratory monitoring system can achieve similar performance to a metabolic cart in estimating rated perceived exertion. Eight adult men volunteered to perform treadmill tests under different conditions. Cardiorespiratory data were collected using a metabolic cart and an instrumented oral-cavity device, as well as their ratings of perceived exertion. Pearson correlation corrected for repeated measurements and stepwise regression analysis were used to observe the relationship between the cardiorespiratory features and the ratings of perceived exertion and determine the proportion of the variance of exertion that could be explained by the measurements. Minute ventilation was found to be the most associated variable to perceived exertion, closely followed by a novel metric called the audio minute volume, which can be collected by the oral-cavity device. A generalised linear model combining minute ventilation, audio minute volume, heart rate and respiration rate accounted for 64% of the variance in perceived exertion, whilst a model with only audio minute volume accounted for 56%. Our study indicates that minute ventilation is key to estimating perceived exertion during indoor running exercises. Audio minute volume was also observed to perform comparably to a lab-based metabolic cart in estimating perceived exertion. This research indicates that mobile techniques offer the potential for real-world data collection of an athlete’s physiological load and estimation of perceived exertion.