Design of Carryable Intravenous Drip Frame with Automatic Balancing

Due to the inconvenience of the conventional intravenous drip frame, the piggyback intravenous drip frame is developed to improve the mobility of the patient. However, the current design of the drip frame leads to a lack of balance control and increment of blood returning. To this end, the proposed system aims to solve this problem, and a fuzzy proportionalintegral–derivative control technique is developed to demonstrate the system feasibility. Accordingly, a reliable balanced system can be applied to facilitate patients’ movements and ensure patient safety with compensating the inclination angle of the drip frame such that the reduction of blood returning and the balance control of the piggyback intravenous drip frame can be achieved.

[1]  David May.  Modeling the dynamically tuned gyroscope in support of high-bandwidth capture loop design , 1999, Defense, Security, and Sensing.

[2]  Sergio Silvestri,et al.  Non-Contact Monitoring of Breathing Pattern and Respiratory Rate via RGB Signal Measurement , 2019, Sensors.

[3]  Ruan Xiaogang.  Modeling and Control of a Flexible Two-wheel Upright Self-balance Humanoid Robot , 2009 .

[4]  Rahul S. Ankushe,et al.  Portable Weight Measuring Instrument , 2017, 2017 International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT).

[5]  Feng-Chyi Duh,et al.  An Innovative Assist Device for Intravenous Infusion , 2015 .

[6]  Mohammed E. El-Telbany,et al.  Tuning PID Controller for DC Motor: An Artificial Bees Optimization Approach , 2013 .

[7]  C Recek,et al.  Venous pressure gradients in the lower extremity and the hemodynamic consequences. , 2010, VASA. Zeitschrift fur Gefasskrankheiten.

[8]  Salvador Gil,et al.  Experimental study of Bernoulli's equation with losses , 2005 .

[9]  Nuntachai Thongpance,et al.  The effect of average filter for complementary filter and Kalman filter based on measurement angle , 2016, 2016 9th Biomedical Engineering International Conference (BMEiCON).

[10]  Mohamed Chtourou,et al.  A New PID Neural Network Controller Design for Nonlinear Processes , 2018, J. Circuits Syst. Comput..

[11]  Tae Suk Yoo,et al.  Gain-Scheduled Complementary Filter Design for a MEMS Based Attitude and Heading Reference System , 2011, Sensors.

[12]  Ming-Feng Wu,et al.  Carryable and automatically balanced intravenous drip frame and using method thereof , 2018, 2018 27th Wireless and Optical Communication Conference (WOCC).

[13]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[14]  Yuan-Pin Lin,et al.  Cost-efficient and Custom Electrode-holder Assembly Infrastructure for EEG Recordings , 2019, Sensors.

[15]  Mark Euston,et al.  A complementary filter for attitude estimation of a fixed-wing UAV , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Carl Friedrich Gauss.  THE INTENSITY OF THE EARTH ' S MAGNETIC FORCE REDUCED TO ABSOLUTE MEASUREMENT , 2003 .

[17]  W. Luyben,et al.  Tuning PI controllers for integrator/dead time processes , 1992 .

[18]  JungHun Choi,et al.  Development of a Segmental Bioelectrical Impedance Spectroscopy Device for Body Composition Measurement , 2019, Sensors.