IEEE Trans Biomed Circuits Syst
October 2024
Cloud-based training and edge-based inference modes for Artificial Intelligence of Medical Things (AIoMT) applications suffer from accuracy degradation due to physiological signal variations among patients. On-chip learning can overcome this issue by online adaptation of neural network parameters for user-specific tasks. However, existing on-chip learning processors have limitations in terms of versatility, resource utilization, and energy efficiency.
View Article and Find Full Text PDFIEEE Trans Biomed Circuits Syst
June 2023
Implementing neural networks (NN) on edge devices enables AI to be applied in many daily scenarios. The stringent area and power budget on edge devices impose challenges on conventional NNs with massive energy-consuming Multiply Accumulation (MAC) operations and offer an opportunity for Spiking Neural Networks (SNN), which can be implemented within sub-mW power budget. However, mainstream SNN topologies varies from Spiking Feedforward Neural Network (SFNN), Spiking Recurrent Neural Network (SRNN), to Spiking Convolutional Neural Network (SCNN), and it is challenging for the edge SNN processor to adapt to different topologies.
View Article and Find Full Text PDFHighly accurate classification methods for multi-task biomedical signal processing are reported, including neural networks. However, reported works are computationally expensive and power-hungry. Such bottlenecks make it hard to deploy existing approaches on edge platforms such as mobile and wearable devices.
View Article and Find Full Text PDFBackground: The recurrence rate of ischemic symptoms after coronary artery bypass grafting (CABG) is increasing in recent years. How to prevent and treat saphenous vein graft disease (SVGD [symptomatic ⩾50% stenosis in at least one Saphenous vein graft]) has been a clinical challenge to date. Different pathogenesis may exist in SVGD of different periods.
View Article and Find Full Text PDFIn this work, a memristive spike-based computing in memory (CIM) system with adaptive neuron (MSPAN) is proposed to realize energy-efficient remote arrhythmia detection with high accuracy in edge devices by software and hardware co-design. A multi-layer deep integrative spiking neural network (DiSNN) is first designed with an accuracy of 93.6% in 4-class ECG classification tasks.
View Article and Find Full Text PDFWe aimed to explore the utility of multiple biomarkers with GRACE risk stratification for non-ST-elevation myocardial infarction (NSTEMI). A total of 1,357 patients diagnosed with NSTEMI were enrolled in this study at multiple medical centers in Tianjin, China. The outcomes were 1-year all-cause death and major adverse cardiac events (MACE: all-cause death, hospital admission for unstable angina, hospital admission for heart failure, nonfatal recurrent myocardial infarction, and stroke).
View Article and Find Full Text PDFIntroduction: Diabetes mellitus (DM) and metabolic syndrome (MetS) are systemic metabolic disorders, which have risk factors for diabetic cardiovascular and cerebral microvascular disease. It is very important to screen the metabolic biomarkers between DM and MetS patients, which can make patients benefit to a greater extent and prevent the occurrence of disease in advance.
Objectives: Diabetes mellitus (DM) and metabolic syndrome are a complex, chronic illness with a pronounced impact on the quality of life of many people.
Aim: To investigate the related factors of diabetic retinopathy (DR) and explore the correlation between smoking and DR in patients with newly diagnosed type 2 diabetes mellitus (T2DM).
Design: A single-centre cross-sectional study.
Setting: Tianjin 4th Central Hospital.
Liraglutide is a glucagon-like peptide-1 receptor (GLP-1R) agonist and incretin mimetic used for the treatment of Type 2 diabetes mellitus. It has also been shown to have a beneficial role in the cardiovascular system. Here, we investigated the mechanism by which liraglutide promotes angiogenesis using human umbilical vein endothelial cells (HUVECs).
View Article and Find Full Text PDFZhonghua Yi Xue Yi Chuan Xue Za Zhi
October 2019
Objective: To assess the effect of miR-137 on the proliferation and apoptosis of human umbilical vein endothelial cells (HUVECs) induced by high glucose and its mechanism.
Methods: HUVECs cells were divided into low-glucose group (5.5 mmol/L glucose-treated cells), high-glucose group (33.
Liraglutide (Lir) is a glucagon-like peptide-1 receptor agonist that lowers blood sugar and reduces myocardial infarct size by improving endothelial cell function. However, its mechanism has not yet been clarified. Unfolded protein response (UPR) plays an important role in the pathogenesis of myocardial ischemia-reperfusion injury.
View Article and Find Full Text PDFArterioscler Thromb Vasc Biol
June 2019
Objective- Diabetes mellitus is associated with high-risk atherosclerotic plaques. This study aimed to compare characteristics of carotid atherosclerotic plaques in symptomatic Chinese diabetic and nondiabetic patients using vessel wall magnetic resonance imaging. Approach and Results- Patients with cerebral ischemic symptoms in the anterior circulation and carotid atherosclerotic plaque determined by ultrasound were recruited from a cross-sectional, observational, multicenter study of CARE-II (Chinese Atherosclerosis Risk Evaluation).
View Article and Find Full Text PDFBackground: Raised serum uric acid (SUA) level is commonly observed in patients with type 2 diabetes mellitus (T2DM) and is associated with increased morbidity and mortality. Sodium-glucose cotransporter 2 inhibitor, a novel oral diabetic drug, might exert a potential hypouricemic effect. We evaluated the effects of dapagliflozin on SUA levels in hospitalized T2DM patients with inadequate glycemic control.
View Article and Find Full Text PDFDexmedetomidine (Dex) has the neuroprotective effect on cerebral ischemia-reperfusion injury (CIRI). But the mechanism is not yet clear. In this study, we established a model of middle cerebral artery occlusion (MCAO) and treated primary cortical neurons with oxygen glucose deprivation (OGD), followed by Dex treatment.
View Article and Find Full Text PDFBiochem Biophys Res Commun
September 2018
Background: Telmisartan is an angiotensin II receptor blocker (ARB) and a partial agonist of peroxisome proliferator activated receptor γ (PPARγ). It has been shown to significantly enhance insulin sensitivity in clinical studies and in vitro experiments. However, the effect of telmisartan on PPARγ in adipocytes remains unknown.
View Article and Find Full Text PDFWe investigated the preventive effect of alprostadil on contrast-induced nephropathy (CIN) in patients with renal insufficiency undergoing percutaneous coronary intervention (PCI). A total of 300 patients with creatinine clearance (crCl) ≤60 mL/min undergoing PCI were randomly assigned to alprostadil or a control group. The primary end point was the incidence of CIN defined as an increase in serum creatinine (Scr) levels by ≥0.
View Article and Find Full Text PDFPurpose: To investigate the preventive effect of probucol combined with hydration on contrast-induced nephropathy (CIN) in patients with coronary heart disease undergoing percutaneous coronary intervention (PCI).
Methods: A total of 641 patients undergoing PCI were randomly assigned to either a probucol group (probucol 500 mg twice daily and hydration; n = 321) or a control group (hydration only; n = 320). The primary endpoint was the incidence of CIN, defined as an increase in serum creatinine (Scr) by ≥ 44.
Background: The role of alprostadil on the prevention of contrast-induced nephropathy (CIN) still remains controversial. The purpose of this study was to examine the effects of short-term alprostadil on the incidence of CIN in patients undergoing elective percutaneous coronary intervention (PCI).
Methods: A total of 480 patients with coronary heart disease undergoing PCI were enrolled in our study and randomly assigned to two groups.
Nonalcoholic fatty liver disease (NAFLD) and occupational stress have been recognized as major public health concerns. We aimed to explore whether occupational stress was associated with NAFLD in a police population.A total of 6559 male police officers were recruited for this prospective study in April 2007.
View Article and Find Full Text PDFObjectives: This study aims to investigate the effects of telmisartan, pioglitazone and metformin administration on the prevention of new-onset type 2 diabetes mellitus in pre-diabetes Otsuka Long-Evans Tokushima Fatty (OLETF) rats fed with a high-fat diet (HFD).
Methods: OLETF rats 22 weeks of age were treated with pioglitazone (O-P), metformin (O-M), telmisartan (O-T) and low telmisartan starting from their pre-diabetes period. The weight, glucose tolerance and insulin sensitivity were measured.
Zhonghua Liu Xing Bing Xue Za Zhi
October 2012
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
August 2011
Objective: To investigate the life style, genetic and occupational risk factors of metabolic syndrome (MS) among policemen.
Methods: 1:4 matched case-control study was used, based on physical examination data of Tianjin Policemen in 2010, 708 patients with MS were randomly selected as cases, which were matched with 2832 healthy controls on the basis of sex and age (+/- 1 year). An epidemiological investigations on the past exposure status of several possible risk factors was conducted, and the data were analyzed with conditional logistic regression.
Zhonghua Yu Fang Yi Xue Za Zhi
July 2011
Objective: To explore the occupational stress factors associated with the prevalence of metabolic syndrome (MS) among male policemen.
Methods: Using cluster sampling method, we selected four Public Security Bureau within the jurisdiction of the station now in some city. All the male police were included as research objects, and finally 1490 persons were selected, health and occupational stress inventory-revised (OSI-R) questionnaire were used for epidemiological surveys, and anthropometric examination and chemical indicators were also measured at the same time.