Papers by Dimitrios Dimopoulos
SN Comprehensive Clinical Medicine
Given that patients who suffer from extremity malignancies are primarily young, the validation an... more Given that patients who suffer from extremity malignancies are primarily young, the validation and refinement of the management techniques for these type of tumors appear essential. Prosthetic reconstruction has already been established as a reliable surgical procedure for patients with lower limb bone neoplasms. Reconstruction with allograft has also been considered a viable treatment alternative for these patients, but evidence regarding the comparison of the efficacy between these techniques is scarce. The aim of this study is to evaluate and compare the impact of these two procedures on the gait parameters of patients that underwent lower limb tumor resection. The Medline, Scopus, and Cochrane databases were systematically scrutinized in January 2022. The outcomes of interest were gait parameters. Four studies were included in our analysis, from which three included allograft versus prosthetic reconstruction of the knee (distal femur or proximal tibia) and only one that evaluate...
Signals
Hemiplegia is a condition caused by brain injury and affects a significant percentage of the popu... more Hemiplegia is a condition caused by brain injury and affects a significant percentage of the population. The effect of patients suffering from this condition is a varying degree of weakness, spasticity, and motor impairment to the left or right side of the body. This paper proposes an automatic feature selection and construction method based on grammatical evolution (GE) for radial basis function (RBF) networks that can classify the hemiplegia type between patients and healthy individuals. The proposed algorithm is tested in a dataset containing entries from the accelerometer sensors of the RehaGait mobile gait analysis system, which are placed in various patients’ body parts. The collected data were split into 2-second windows and underwent a manual pre-processing and feature extraction stage. Then, the extracted data are presented as input to the proposed GE-based method to create new, more efficient features, which are then introduced as input to an RBF network. The paper’s exper...
Information
Hemiplegia affects a significant portion of the human population. It is a condition that causes m... more Hemiplegia affects a significant portion of the human population. It is a condition that causes motor impairment and severely reduces the patient’s quality of life. This paper presents an automatic system for identifying the hemiplegia type (right or left part of the body is affected). The proposed system utilizes the data taken from patients and healthy subjects using the accelerometer sensor from the RehaGait mobile gait analysis system. The collected data undergo a pre-processing procedure followed by a feature extraction stage. The extracted features are then sent to a neural network trained by the Levenberg-Marquardt backpropagation (LM-BP) algorithm. The experimental part of this research involved creating a custom-created dataset containing entries taken from ten healthy and twenty non-healthy subjects. The data were taken from seven different sensors placed in specific areas of the subjects’ bodies. These sensors can capture a three-dimensional (3D) signal using the accelero...
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals
2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
This article introduces a method that can automatically classify the hemiplegia type (right or le... more This article introduces a method that can automatically classify the hemiplegia type (right or left side of the body is paralyzed) between healthy and non-healthy subjects. The proposed method utilizes the data taken from the accelerometer sensor of the RehaGait mobile gait analysis system. These data undergo a pre-processing and feature extraction stage before being sent as input to a scaled conjugate gradient backpropagation (SCG-BP) trained neural network. The proposed system is tested using a custom-created dataset containing 10 healthy and 20 patients suffering from hemiplegia (right or left). The experimental part of the system utilized 7 sensors placed on the left and right foot, the left and right shank, the left and right thigh, and the hip of each subject. Each sensor captured a 3-dimensional (3D) signal from 3 different device types: accelerometer, magnetometer, and gyroscope. The system utilized and split into 2-second windows only the accelerometer data, achieving a classification accuracy of 87.71%.
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals
2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2021
This article introduces a method that can automatically classify the hemiplegia type (right or le... more This article introduces a method that can automatically classify the hemiplegia type (right or left side of the body is paralyzed) between healthy and non-healthy subjects. The proposed method utilizes the data taken from the accelerometer sensor of the RehaGait mobile gait analysis system. These data undergo a pre-processing and feature extraction stage before being sent as input to a scaled conjugate gradient backpropagation (SCG-BP) trained neural network. The proposed system is tested using a custom-created dataset containing 10 healthy and 20 patients suffering from hemiplegia (right or left). The experimental part of the system utilized 7 sensors placed on the left and right foot, the left and right shank, the left and right thigh, and the hip of each subject. Each sensor captured a 3-dimensional (3D) signal from 3 different device types: accelerometer, magnetometer, and gyroscope. The system utilized and split into 2-second windows only the accelerometer data, achieving a cla...
Surgical site infection in a Greek general surgery department: who is at most risk?
Journal of Wound Care
Objective: Surgical site infections (SSIs) are associated with protracted hospitalisation, antibi... more Objective: Surgical site infections (SSIs) are associated with protracted hospitalisation, antibiotics administration, and increased morbidity and mortality. This work investigated the incidence rate of SSIs in the Department of General Surgery at the University Hospital of Ioannina, Greece, the associated risk factors and pathogens responsible. Method: In this prospective cohort study, patients who underwent elective procedures under general anaesthesia were enrolled. Risk factors monitored included age, sex, body mass index, smoking, alcohol consumption, preoperative length of stay, chemoprophylaxis, intensive care unit (ICU) stay, American Society of Anesthesiology (ASA) score, and the National Nosocomial Infections Surveillance System (NNIS) basic SSI risk index. Results: Of the 1058 enrolled patients, 80 (7.6%) developed SSIs. Of the total cohort, 62.5% of patients received chemoprophylaxis for >24 hours. A total of 20 different pathogens, each with multiple strains (n=108 i...
A remote rehabilitation training system using Virtual Reality
2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
The rehabilitation process of sports injuries, movement and balance of the elderly with mobility ... more The rehabilitation process of sports injuries, movement and balance of the elderly with mobility problems as well people with injuries, is of key importance for the best possible recovery of proper functioning and mobility of the limbs of these individuals. In most cases, rehabilitation is provided in specialized rehabilitation centers, through services and recovery programs that are carried out for a specific period of time. During the patient's stay in the rehabilitation center, professional gait and balance analysis systems are used to assess his condition. These systems are usually too expensive, difficult to use, and can not be easily replaced by lower cost devices that provide the same quality and reliability. Furthermore, due to COVID-19 pandemic, the physical presence of a person during the execution of rehabilitation program has become prohibitive in many cases. Our solution offers an at-home rehabilitation exercises system using Virtual Reality with a human-alike Virtual Coach. The exercises for each patient are defined by doctors providing a personalized record tracking the rehabilitation progress.
Communications and Network
The necessity of lowering the mean power consumption of various facilities, due to the lack of th... more The necessity of lowering the mean power consumption of various facilities, due to the lack of their enormous future energy needs, led to an ongoing advance of various technologies. These technologies have been oriented towards the concept of a Reduced Ecological Footprint. Massive structures (such as building complexes and hospitals) have been redesigned and upgraded; many interior designs have been dramatically altered while new electronic devices are constantly being produced in order to revolutionize a long term perspective towards a "Green Planet" while they exhibit astonishing signal processing. Consequently, an enormous technology already exists which needs to be properly combined to a proposed methodology and to new ideas relevant to systems' administration through automatic wireless control. This paper intends to reduce the gap between design and realization of the aforementioned research. Consequently, the primary contribution of this research is the proposal of a complete design protocol with minimized defects relevant to Reduced Ecological Footprints of Facilities (REFF) along with its beneficial advantages relevant to providing a healthy and productive work environment. This protocol consists of four main parts which are 1) the main key points-guidelines, 2) its objectives, 3) the know-how methodology for implementation in existing installa-How to cite this paper: Chronopoulos,
World Journal of …, 2010
AIM: To determine the prevalence of steatosis and steatohepatitis in a series of autopsies in Nor... more AIM: To determine the prevalence of steatosis and steatohepatitis in a series of autopsies in Northwestern Greece.METHODS: Liver biopsy material from a total of 600 autopsies performed over a period of 2 years (2006-2008) to define the cause of death was subjected to histological examination. Patient demographic data were also collected. Tissue sections were stained with different dyes for the evaluation of liver architecture, degree of fibrosis and other pathological conditions when necessary.RESULTS: Satisfactory tissue samples for histological evaluation were available in 498 cases (341 male, 157 female) with a mean age of 64.51 ± 17.78 years. In total, 144 (28.9%) had normal liver histology, 156 (31.3%) had evidence of steatosis, and 198 (39.8%) had typical histological findings of steatohepatitis. The most common causes of death were ischemic heart disease with or without myocardial infarction (43.4%), and traffic accidents (13.4%).CONCLUSION: A high prevalence of steatosis and steatohepatitis was detected in postmortem biopsies from Northwestern Greece. Since both diseases can have serious clinical consequences, they should be considered as an important threat to the health of the general population in Greece.
Fetus Heart Rate Monitoring: A Preliminary research study with remote sensing
IEEE Consumer Electronics Magazine
Currently, hospitals and health care sectors employ low-cost IoT (Internet of Thing) based remote... more Currently, hospitals and health care sectors employ low-cost IoT (Internet of Thing) based remote health monitoring systems and labs in order to collect a subjects or patients real-time data. Such a process can be helpful for the early detection of a healthy newborn life and even vital in the case of saving these lives. In this paper, a preliminary implementation of a system monitoring the fetus heart rate has been designed and implemented as a mobile wearable measuring system with remote sensing. The proposed implementation turns out to be an efficient combination of simplicity and cost effectiveness and is accompanied with preliminary accurate measurements of fetus heart rate. The developed board uses an ESP-8266 transceiver module and is programmed to transmit the data efficiently to a remote server station using a IEEE 802.11 b/g/n - based wireless network. The patients data can then be monitored using an Android-based or satellite phone, or even any well-known internet browser connected to the specific network certifying in many occasions the health safety distance required due to various situations including that of COVID-19.
Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System
Frontiers in Digital Health
Rehabilitation programs play an important role in improving the quality of life of patients with ... more Rehabilitation programs play an important role in improving the quality of life of patients with balance disorders. Such programs are usually executed in a home environment, due to lack of resources. This procedure usually results in poorly performed exercises or even complete drop outs from the programs, as the patients lack guidance and motivation. This paper introduces a novel system for managing balance disorders in a home environment using a virtual coach for guidance, instruction, and inducement. The proposed system comprises sensing devices, augmented reality technology, and intelligent inference agents, which capture, recognize, and evaluate a patient's performance during the execution of exercises. More specifically, this work presents a home-based motion capture and assessment module, which utilizes a sensory platform to recognize an exercise performed by a patient and assess it. The sensory platform comprises IMU sensors (Mbientlab MMR© 9axis), pressure insoles (Motic...
Communications and Network, 2018
The necessity of lowering the mean power consumption of various facilities, due to the lack of th... more The necessity of lowering the mean power consumption of various facilities, due to the lack of their enormous future energy needs, led to an ongoing advance of various technologies. These technologies have been oriented towards the concept of a Reduced Ecological Footprint. Massive structures (such as building complexes and hospitals) have been redesigned and upgraded; many interior designs have been dramatically altered while new electronic devices are constantly being produced in order to revolutionize a long term perspective towards a “Green Planet” while they exhibit astonishing signal processing. Consequently, an enormous technology already exists which needs to be properly combined to a proposed methodology and to new ideas relevant to systems’ administration through automatic wireless control. This paper intends to reduce the gap between design and realization of the aforementioned research. Consequently, the primary contribution of this research is the proposal of a complete design protocol with minimized defects relevant to Reduced Ecological Footprints of Facilities (REFF) along with its beneficial advantages relevant to providing a healthy and productive work environment. This protocol consists of four main parts which are 1) the main key points-guidelines, 2) its objectives, 3) the know-how methodology for implementation in existing installations and 4) the description of the imminent benefits in workforce/human resources.
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Papers by Dimitrios Dimopoulos