Background: Swimming has been used empirically for rehabilitation and conditioning of horses. However, due to challenges imposed by recording physiological parameters in water, the intensity of free swimming effort is unknown.
Objectives: Measure the physiological workload associated with untethered swimming in horses. Five fit Arabian endurance horses were assessed while swimming in a 100 m-long indoor pool. Horses were equipped with a modified ergospirometry facemask to measure oxygen consumption (V̇O) and ventilatory parameters (inspired/expired volumes, V, V; peak inspiratory/expiratory flows, PkV, PkV; respiratory frequency, Rf; minute ventilation, VE; inspiratory/expiratory durations and ratios, t, t, t/t, t/t); and an underwater electrocardiogram that recorded heart rate (HR). Postexercise venous blood lactate and ammonia concentrations were measured. Data are reported as median (interquartile ranges).
Results: Horses showed bradypnea (12 breaths/min (10-16)) for the first 30 s of swimming. V̇O during swimming was 43.2 ml/(kg.min) (36.0-56.6). Ventilatory parameters were: V = 16.7 L (15.3-21.8), V = 14.7 L (12.4-18.9), PkV = 47.8 L/s (45.8-56.5), PkV = 55.8 L/s (38.3-72.5), Rf = 31.4 breaths/min (20.0-33.8), VE = 522.9 L/min (414.7-580.0), t = 0.5 s (0.5-0.6), t = 1.2 s (1.1-1.6), t/t = 0.3 (0.2-0.4), t/t = 0.7 (0.6-0.8). Expiratory flow tracings showed marked oscillations that coincided with a vibrating expiratory sound. HR was 178.0 bpm (148.5-182.0), lactate = 1.5 mmol/L (1.0-1.9) and ammonia = 41.0 µmol/L (36.5-43.5).
Conclusions: Free (untethered) swimming represents a submaximal, primarily aerobic exercise in horses. The breathing pattern during swimming is unique, with a relatively longer apneic period at the beginning of the exercise and an inspiratory time less than half that of expiration.
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http://dx.doi.org/10.1186/s12917-024-04143-3 | DOI Listing |
Soft Robot
July 2024
College of Shipbuilding Engineering, Harbin Engineering University, Qingdao, China.
Soft actuators offer numerous potential applications; however, challenges persist in achieving a high driving force and fast response speed. In this work, we present the design, fabrication, and analysis of a soft pneumatic bistable actuator (PBA) mimicking jellyfish subumbrellar muscle motion for waterjet propulsion. Drawing inspiration from the jellyfish jet propulsion and the characteristics of bistable structure, we develop an elastic band stretch prebending PBA with a simple structure, low inflation cost, exceptional driving performance, and stable driving force output.
View Article and Find Full Text PDFBMC Vet Res
July 2024
EquiTom - Namur, a member of the Equine Care Group, 15 Chaussée de Nivelles, Mazy, 5032, Belgium.
Background: Swimming has been used empirically for rehabilitation and conditioning of horses. However, due to challenges imposed by recording physiological parameters in water, the intensity of free swimming effort is unknown.
Objectives: Measure the physiological workload associated with untethered swimming in horses.
Sci Rep
April 2024
Department of Mechanical and Intelligent Systems Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan.
Improving the energy efficiency of robots remains a crucial challenge in soft robotics, with energy harvesting emerging as a promising approach to address it. This study presents a functional soft robotic composite called OPV-DEA, which integrates flexible organic photovoltaic (OPV) and dielectric elastomer actuator (DEA). The composite can simultaneously generate electrostatic bending actuation and harvest energy from external lights.
View Article and Find Full Text PDFResearch (Wash D C)
March 2024
Guangdong Provincial Key Lab of Robotics and Intelligent Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Innovation (Camb)
January 2024
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China.
Tightly integrating actuation, computation, and sensing in soft materials allows soft robots to respond autonomously to their environments. However, fusing these capabilities within a single soft module in an efficient, programmable, and compatible way is still a significant challenge. Here, we introduce a strategy for integrating actuation, computation, and sensing capabilities in soft origami.
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