Left ventricular assist devices (LVADs) have been used as a bridge to transplantation or as destination therapy to treat patients with heart failure (HF). The inability of control strategy to respond automatically to changes in hemodynamic conditions can impact the patients' quality of life. The developed control system/algorithm consists of a control system that harmoniously adjusts pump speed without additional sensors, considering the patient's clinical condition and his physical activity. The control system consists of three layers: (a) Actuator speed control; (b) LVAD flow control (FwC); and (c) Fuzzy control system (FzC), with the input variables: heart rate (HR), mean arterial pressure (MAP), minimum pump flow, level of physical activity (data from patient), and clinical condition (data from physician, INTERMACS profile). FzC output is the set point for the second LVAD control schemer (FwC) which in turn adjusts the speed. Pump flow, MAP, and HR are estimated from actuator drive parameters (speed and power). Evaluation of control was performed using a centrifugal blood pump in a hybrid cardiovascular simulator, where the left heart function is the mechanical model and right heart function is the computational model. The control system was able to maintain MAP and cardiac output in the physiological level, even under variation of EF. Apart from this, also the rotational pump speed is adjusted following the simulated clinical condition. No backflow from the aorta in the ventricle occurred through LVAD during tests. The control algorithm results were considered satisfactory for simulations, but it still should be confirmed during in vivo tests.
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http://dx.doi.org/10.1111/aor.13639 | DOI Listing |
Chem Sci
January 2025
State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University Nanjing 210093 China
Semiconductor magic-sized nanoclusters (MSCs) possess atomic-level compositional precision and ultrasmall dimensions, allowing accurate modulation of electrochemiluminescence (ECL) properties, essential for advanced bioanalytical applications. However, low intrinsic ECL intensity and poor stability in bipolar electrode (BPE)-ECL systems hinder their broader use. In this work, we addressed these limitations through doping and direct optical crosslinking strategies, achieving a 24-fold boost in the ECL signal and a fivefold stability increase for doped (CdS):Ag MSCs compared with original (CdS) MSCs.
View Article and Find Full Text PDFFront Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
View Article and Find Full Text PDFResearch (Wash D C)
October 2023
State Key Laboratory of Analytical Chemistry for Life Science, State Key Laboratory of Pollution Control and Resource Reuse, School of Chemistry and Chemical Engineering, School of the Environment, Nanjing University, Nanjing 210023, P. R. China.
Electrochemiluminescence (ECL) has established itself as an excellent transduction technique in biosensing and light-emitting device, while conventional ECL mechanism depending on spontaneous emission of luminophores lacks reversibility and tunable emission characters, limiting the universality of ECL technique in the fields of fundamental research and clinical applications. Here, we report the first observation of stimulated emission route in ECL and thus establish a reversible tuning ECL microscopy for single-cell imaging. This microscopy uses a focused red-shifted beam to transfer spontaneous ECL into stimulated ECL, which enables selective and reversible tuning of ECL emission from homogeneous solution, single particles, and single cells.
View Article and Find Full Text PDFBull World Health Organ
February 2025
Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.
Objective: To evaluate the adoption, effectiveness and cost-effectiveness of digital health interventions for rheumatic disease management.
Methods: Between 25 May 2024 and 2 June 2024, we systematically searched PubMed®, Scopus, ClinicalTrials.gov, the Global Observatory for eHealth and the World Bank Open Knowledge Repository for randomized controlled trials (RCTs) evaluating digital health interventions for rheumatic disease management.
Bull World Health Organ
February 2025
School of Public Health, Sun Yat-Sen University, 74 Zhongshan No. 2 Rd, Yuexiu District, Guangzhou510080, Guangdong, China.
Objective: To describe changes in access to voluntary human immunodeficiency virus (HIV) counselling and testing services following the implementation of a mini-application (app) at primary health-care facilities across Guangzhou, China.
Methods: In 2018, the Guangzhou Center for Disease Control and Prevention and the Lingnan Community Support Center co-developed WellTest, a mini-app within the WeChat environment, to address voluntary counselling and testing service needs. The mini-app provides on-demand information for clients, links them to health services, and allows users to provide feedback on health-care quality and share test results with partners.
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