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Total 332 results found since Jan 2013.

Sensors, Vol. 19, Pages 595: A Chair-Based Unconstrained/Nonintrusive Cuffless Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram
In this study, a chair-type system that can monitor blood pressure using polyvinylidene fluoride (PVDF) films in a nonintrusive manner to users was developed. The proposed method also uses instantaneous phase difference (IPD) instead of PTT as the feature value for estimating blood pressure. Experiments were conducted using a blood pressure estimation model created via an artificial neural network (ANN), which showed that IPD could estimate more accurate readings of blood pressure compared to PTT, thus demonstrating the possibility of a nonintrusive blood pressure monitoring system.
Source: Sensors - January 31, 2019 Category: Biotechnology Authors: Kwang Jin Lee Jongryun Roh Dongrae Cho Joonho Hyeong Sayup Kim Tags: Article Source Type: research

Sensors, Vol. 19, Pages 210: Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
Jörg Conradt Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.g., hand movements. This type of BCI has been widely studied and used as an alternative mode of communication and environmental control for disabled patients, such as those suffering from a brainstem stroke or a spinal cord injury (SCI). Notwithstanding the success of traditional machine learning methods in classifying EEG signals, these methods still rely ...
Source: Sensors - January 8, 2019 Category: Biotechnology Authors: Zied Tayeb Juri Fedjaev Nejla Ghaboosi Christoph Richter Lukas Everding Xingwei Qu Yingyu Wu Gordon Cheng J örg Conradt Tags: Article Source Type: research

Sensors, Vol. 18, Pages 4347: Data Analytics of a Wearable Device for Heat Stroke Detection
ao Chen When exercising in a high-temperature environment, heat stroke can cause great harm to the human body. However, runners may ignore important physiological warnings and are not usually aware that a heat stroke is occurring. To solve this problem, this study evaluates a runner’s risk of heat stroke injury by using a wearable heat stroke detection device (WHDD), which we developed previously. Furthermore, some filtering algorithms are designed to correct the physiological parameters acquired by the WHDD. To verify the effectiveness of the WHDD and investigate the features of these physiological param...
Source: Sensors - December 9, 2018 Category: Biotechnology Authors: Shih-Sung Lin Chien-Wu Lan Hao-Yen Hsu Sheng-Tao Chen Tags: Article Source Type: research

Sensors, Vol. 18, Pages 4107: Compressibility of High-Density EEG Signals in Stroke Patients
sco C. Morabito Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate po...
Source: Sensors - November 23, 2018 Category: Biotechnology Authors: Nadia Mammone Simona De Salvo Cosimo Ieracitano Silvia Marino Emanuele Cartella Alessia Bramanti Roberto Giorgianni Francesco C. Morabito Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3852: Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke
g The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-element excitation senso...
Source: Sensors - November 9, 2018 Category: Biotechnology Authors: Lulu Wang Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3761: Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface
Imran Khan Niazi Brain-computer interfaces (BCIs) can be used to induce neural plasticity in the human nervous system by pairing motor cortical activity with relevant afferent feedback, which can be used in neurorehabilitation. The aim of this study was to identify the optimal type or combination of afferent feedback modalities to increase cortical excitability in a BCI training intervention. In three experimental sessions, 12 healthy participants imagined a dorsiflexion that was decoded by a BCI which activated relevant afferent feedback: (1) electrical nerve stimulation (ES) (peroneal nerve—innervati...
Source: Sensors - November 3, 2018 Category: Biotechnology Authors: Mads Jochumsen Sylvain Cremoux Lucien Robinault Jimmy Lauber Juan Carlos Arceo Muhammad Samran Navid Rasmus Wiberg Nedergaard Usman Rashid Heidi Haavik Imran Khan Niazi Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3420: Using the Pulse Contour Method to Measure the Changes in Stroke Volume during a Passive Leg Raising Test
The objective of this study was to assess the stability and accuracy of this method by making use of the passive leg raising test. We studied 24 healthy subjects (40 ± 9.3 years), and used the Medis® CS 1000, an impedance cardiography, as the comparing reference. The pulse contour method measured the waveform of the brachial artery by using a cuff. The compliance and resistance of the peripheral artery was detected from the cuff characteristics and the blood pressure waveform. Then, according to the method proposed by Romano et al., the stroke volume could be measured. This method was implemented...
Source: Sensors - October 12, 2018 Category: Biotechnology Authors: Chun-Hung Su Shing-Hong Liu Tan-Hsu Tan Chien-Hsien Lo Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3397: Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
Kuan-Nien Chou The aim of this study was to conduct a comprehensive analysis of the placement of multiple wearable sensors for the purpose of analyzing and classifying the gaits of patients with neurological disorders. Seven inertial measurement unit (IMU) sensors were placed at seven locations: the lower back (L5) and both sides of the thigh, distal tibia (shank), and foot. The 20 subjects selected to participate in this study were separated into two groups: stroke patients (11) and patients with neurological disorders other than stroke (brain concussion, spinal injury, or brain hemorrhage) (9). The temporal paramete...
Source: Sensors - October 11, 2018 Category: Biotechnology Authors: Wei-Chun Hsu Tommy Sugiarto Yi-Jia Lin Fu-Chi Yang Zheng-Yi Lin Chi-Tien Sun Chun-Lung Hsu Kuan-Nien Chou Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3322: Gait Symmetry Assessment with a Low Back 3D Accelerometer in Post-Stroke Patients
This study proposes a new gait symmetry index (GSI) to quantify gait symmetry with one 3D accelerometer at L3 (GSIL3). GSIL3 was evaluated with 16 post stroke patients and nine healthy controls in the Six-Minute-Walk-Test (6-MWT). Discriminative power was evaluated with Wilcoxon test and the effect size (ES) was computed with Cliff’s Delta. GSIL3 estimated during the entire 6-MWT and during a short segment straight walk (GSIL3straight) have comparable effect size to one another (ES = 0.89, p < 0.001) and to the symmetry indices derived from feet sensors (|ES| = [0.22, 0.89]). Furthermore, while none of the ind...
Source: Sensors - October 3, 2018 Category: Biotechnology Authors: Wei Zhang Matthew Smuck Catherine Legault Ma A. Ith Amir Muaremi Kamiar Aminian Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3036: Improvement of Left Ventricular Ejection Time Measurement in the Impedance Cardiography Combined with the Reflection Photoplethysmography
n Cheng Cardiac stroke volume (SV) is an essential hemodynamic indicator that can be used to assess whether the pump function of the heart is normal. Non-invasive SV measurement is currently performed using the impedance cardiography (ICG). In this technology, left ventricular ejection time (LVET) is an important parameter which can be determined from the ICG signals. However, the ICG signals are inherently susceptible to artificial noise interference, which leads to an inaccurate LVET measurement and then yields an error in the calculation of SV. Therefore, the goal of the study was to measure LVETs using both the tra...
Source: Sensors - September 11, 2018 Category: Biotechnology Authors: Shing-Hong Liu Jia-Jung Wang Chun-Hung Su Da-Chuan Cheng Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2767: Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
Mihelj In patients after stroke, ability of the upper limb is commonly assessed with standardised clinical tests that provide a complete upper limb assessment. This paper presents quantification of upper limb movement during the execution of Action research arm test (ARAT) using a wearable system of inertial measurement units (IMU) for kinematic quantification and electromyography (EMG) sensors for muscle activity analysis. The test was executed with each arm by a group of healthy subjects and a group of patients after stroke allocated into subgroups based on their clinical scores. Tasks were segmented into movement a...
Source: Sensors - August 22, 2018 Category: Biotechnology Authors: Eva Repnik Ur ška Puh Nika Goljar Marko Munih Matja ž Mihelj Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2410: Development of User-Friendly Wearable Electronic Textiles for Healthcare Applications
Beeby John Tudor This paper presents research into a user-friendly electronic sleeve (e-sleeve) with integrated electrodes in an array for wearable healthcare. The electrode array was directly printed onto an everyday clothing fabric using screen printing. The fabric properties and designed structures of the e-sleeve were assessed and refined through interaction with end users. Different electrode array layouts were fabricated to optimize the user experience in terms of comfort, effectivity and ease of use. The e-sleeve uses dry electrodes to facilitate ease of use and the electrode array can survive bending a suffi...
Source: Sensors - July 25, 2018 Category: Biotechnology Authors: Kai Yang Katie Meadmore Chris Freeman Neil Grabham Ann-Marie Hughes Yang Wei Russel Torah Monika Glanc-Gostkiewicz Steve Beeby John Tudor Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2216: 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the KinectTM Sensor: Development, Laboratory Validation and Clinical Application
t Jansen Optoelectronic devices are the gold standard for 3D evaluation in clinics, but due to the complexity of this kind of hardware and the lack of access for patients, affordable, transportable, and easy-to-use systems must be developed to be largely used in daily clinics. The KinectTM sensor has various advantages compared to optoelectronic devices, such as its price and transportability. However, it also has some limitations: (in)accuracy of the skeleton detection and tracking as well as the limited amount of available points, which makes 3D evaluation impossible. To overcome these limitations, a novel method has...
Source: Sensors - July 10, 2018 Category: Biotechnology Authors: Bruno Bonnech ère Victor Sholukha Lubos Omelina Serge Van Sint Jan Bart Jansen Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2167: The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke
Conclusions: The Activ8 is sufficiently accurate in detecting different classes of body postures and movements of people after a stroke during basic activities and daily-life activities in a laboratory and/or at home.
Source: Sensors - July 5, 2018 Category: Biotechnology Authors: Malou H. J. Fanchamps Herwin L. D. Horemans Gerard M. Ribbers Henk J. Stam Johannes B. J. Bussmann Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1736: Detection of Hemiplegic Walking Using a Wearable Inertia Sensing Device
Shin Hemiplegia is a symptom that is caused by reduced sensory and motor ability on one side of the body due to stroke-related neural defects. Muscular weakness and abnormal sensation that is induced by hemiplegia usually lead to motor impairments, such as difficulty in controlling the trunk, unstable balance, and poor walking ability. Therefore, most hemiplegia patients show defective and asymmetric gait pattern. The purpose of this study is to distinguish hemiplegic gait by extracting simple characteristics of acceleration signals that are caused by asymmetry during walking using a wearable system. The devised weara...
Source: Sensors - May 28, 2018 Category: Biotechnology Authors: Junseok Lee Sooji Park Hangsik Shin Tags: Article Source Type: research