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Total 332 results found since Jan 2013.

Sensors, Vol. 20, Pages 2852: Joint Angle Estimation of a Tendon-Driven Soft Wearable Robot through a Tension and Stroke Measurement
n Cho The size of a device and its adaptability to human properties are important factors in developing a wearable device. In wearable robot research, therefore, soft materials and tendon transmissions have been utilized to make robots compact and adaptable to the human body. However, when used for wearable robots, these methods sometimes cause uncertainties that originate from elongation of the soft material or from undefined human properties. In this research, to consider these uncertainties, we propose a data-driven method that identifies both kinematic and stiffness parameters using tension and wire stroke of the a...
Source: Sensors - May 16, 2020 Category: Biotechnology Authors: Byungchul Kim Jiwon Ryu Kyu-Jin Cho Tags: Article Source Type: research

Sensors, Vol. 20, Pages 4548: Development of a Diagnosis and Evaluation System for Hemiplegic Patients Post-Stroke Based on Motion Recognition Tracking and Analysis of Wrist Joint Kinematics
k Lee An inexperienced therapist lacks the analysis of a patient’s movement. In addition, the patient does not receive objective feedback from the therapist due to the visual subjective judgment. The aim is to provide a guide for in-depth rehabilitation therapy in virtual space by continuously tracking the user’s wrist joint during Leap Motion Controller (LMC) activities and present the basic data to confirm steady therapy results in real-time. The conventional Box and Block Test (BBT) is commonly used in upper extremity rehabilitation therapy. It was modeled in proportion to the actual size...
Source: Sensors - August 12, 2020 Category: Biotechnology Authors: Subok Kim Seoho Park Onseok Lee Tags: Letter Source Type: research

Sensors, Vol. 20, Pages 4770: Assessment of Upper Limb Movement Impairments after Stroke Using Wearable Inertial Sensing
H. Veltink Precise and objective assessments of upper limb movement quality after strokes in functional task conditions are an important prerequisite to improve understanding of the pathophysiology of movement deficits and to prove the effectiveness of interventions. Herein, a wearable inertial sensing system was used to capture movements from the fingers to the trunk in 10 chronic stroke subjects when performing reach-to-grasp activities with the affected and non-affected upper limb. It was investigated whether the factors, tested arm, object weight, and target height, affect the expressions of range of motion in tru...
Source: Sensors - August 23, 2020 Category: Biotechnology Authors: Anne Schwarz Miguel M. C. Bhagubai Gerjan Wolterink Jeremia P. O. Held Andreas R. Luft Peter H. Veltink Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5545: Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection
nluigi Tiberi In this paper, we present an investigation of different artefact removal methods for ultra-wideband Microwave Imaging (MWI) to evaluate and quantify current methods in a real environment through measurements using an MWI device. The MWI device measures the scattered signals in a multi-bistatic fashion and employs an imaging procedure based on Huygens principle. A simple two-layered phantom mimicking human head tissue is realised, applying a cylindrically shaped inclusion to emulate brain haemorrhage. Detection has been successfully achieved using the superimposition of five transmitter triplet positions, ...
Source: Sensors - September 27, 2020 Category: Biotechnology Authors: Behnaz Sohani James Puttock Banafsheh Khalesi Navid Ghavami Mohammad Ghavami Sandra Dudley Gianluigi Tiberi Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5130: Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network
Conclusions: We developed a new CNN deep-learning model to estimate SVV. Our CNN model seems to be a viable alternative when the necessary medical device is not available, thereby allowing a wider range of application and resulting in optimal patient management.
Source: Sensors - July 29, 2021 Category: Biotechnology Authors: Hye-Mee Kwon Woo-Young Seo Jae-Man Kim Woo-Hyun Shim Sung-Hoon Kim Gyu-Sam Hwang Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5162: Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification
io Faria Intelligent approaches in sports using IoT devices to gather data, attempting to optimize athlete’s training and performance, are cutting edge research. Synergies between recent wearable hardware and wireless communication strategies, together with the advances in intelligent algorithms, which are able to perform online pattern recognition and classification with seamless results, are at the front line of high-performance sports coaching. In this work, an intelligent data analytics system for swimmer performance is proposed. The system includes (i) pre-processing of raw signals; (ii) feature representation o...
Source: Sensors - July 30, 2021 Category: Biotechnology Authors: Joana Costa Catarina Silva Miguel Santos Telmo Fernandes S érgio Faria Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1374: Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke
ni Morone Many recent studies have highlighted that the harmony of physiological walking is based on a specific proportion between the durations of the phases of the gait cycle. When this proportion is close to the so-called golden ratio (about 1.618), the gait cycle assumes an autosimilar fractal structure. In stroke patients this harmony is altered, but it is unclear which factor is associated with the ratios between gait phases because these relationships are probably not linear. We used an artificial neural network to determine the weights associable to each factor for determining the ratio between gait phases and ...
Source: Sensors - February 11, 2022 Category: Biotechnology Authors: Marco Iosa Maria Grazia Benedetti Gabriella Antonucci Stefano Paolucci Giovanni Morone Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2060: Hand Measurement System Based on Haptic and Vision Devices towards Post-Stroke Patients
ubrycki Diagnostics of a hand requires measurements of kinematics and joint limits. The standard tools for this purpose are manual devices such as goniometers which allow measuring only one joint simultaneously, making the diagnostics time-consuming. The paper presents a system for automatic measurement and computer presentation of essential parameters of a hand. Constructed software uses an integrated vision system, a haptic device for measurement, and has a web-based user interface. The system provides a simplified way to obtain hand parameters, such as hand size, wrist, and finger range of motions, using the homogen...
Source: Sensors - March 7, 2022 Category: Biotechnology Authors: Katarzyna Koter Martyna Samowicz Justyna Redlicka Igor Zubrycki Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2273: Determinants of Different Aspects of Upper-Limb Activity after Stroke
We examined factors associated with different aspects of upper-limb (UL) activity in chronic stroke to better understand and improve UL activity in daily life. Three different aspects of UL activity were represented by four sensor measures: (1) contribution to activity according to activity ratio and magnitude ratio, (2) intensity of activity according to bilateral magnitude, and (3) variability of activity according to variation ratio. We combined data from a Belgian and Danish patient cohort (n = 126) and developed four models to determine associated factors for each sensor measure. Results from standard multiple regress...
Source: Sensors - March 15, 2022 Category: Biotechnology Authors: Bea Essers Camilla Biering Lundquist Geert Verheyden Iris Charlotte Brunner Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5066: Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia
Aarne Feldheiser Compensated shock and hypovolaemia are frequent conditions that remain clinically undetected and can quickly cause deterioration of perioperative and critically ill patients. Automated, accurate and non-invasive detection methods are needed to avoid such critical situations. In this experimental study, we aimed to create a prediction model for stroke volume index (SVI) decrease based on electrical cardiometry (EC) measurements. Transthoracic echo served as reference for SVI assessment (SVI-TTE). In 30 healthy male volunteers, central hypovolaemia was simulated using a lower body negative pressure (LBN...
Source: Sensors - July 6, 2022 Category: Biotechnology Authors: Matthias Stetzuhn Timo Tigges Alexandru Gabriel Pielmus Claudia Spies Charlotte Middel Michael Klum Sebastian Zaunseder Reinhold Orglmeister Aarne Feldheiser Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6113: Recognition of Uni-Stroke Characters with Hand Movements in 3D Space Using Convolutional Neural Networks
il Shin Hand gestures are a common means of communication in daily life, and many attempts have been made to recognize them automatically. Developing systems and algorithms to recognize hand gestures is expected to enhance the experience of human–computer interfaces, especially when there are difficulties in communicating vocally. A popular system for recognizing hand gestures is the air-writing method, where people write letters in the air by hand. The arm movements are tracked with a smartwatch/band with embedded acceleration and gyro sensors; a computer system then recognizes the written letters. One o...
Source: Sensors - August 16, 2022 Category: Biotechnology Authors: Won-Du Chang Akitaka Matsuoka Kyeong-Taek Kim Jungpil Shin Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6708: Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients
This study investigates the performance of a custom wearable device for respiratory monitoring in post-stroke patients. We tested the device on six hemiplegic patients under different respiratory regimes. The estimated respiratory parameters (i.e., respiratory frequency and the timing of the respiratory phase) demonstrated good agreement with the ones provided by a gold standard device. The promising results of this pilot study encourage the exploitation of wearables on these patients that may strongly impact the treatment of chronic diseases, such as hemiplegia.
Source: Sensors - September 5, 2022 Category: Biotechnology Authors: Joshua Di Di Tocco Daniela Lo Presti Martina Zaltieri Marco Bravi Michelangelo Morrone Silvia Sterzi Emiliano Schena Carlo Massaroni Tags: Article Source Type: research

Sensors, Vol. 23, Pages 245: ISO26262-Compliant Inductive Long-Stroke Linear-Position Sensors as an Alternative to Hall-Based Sensors for Automotive Applications
Kim To ensure safety, vehicle companies require position sensors that maintain accuracy and avoid target loss even in harsh automotive environments. Most vehicle position sensors are Hall-based, but even improved gradiometric 3D Hall sensors using the arctangent operation are vulnerable to external magnetic fields (EXMFs) and encounter difficulty at long-stroke (LS) positions. An ISO26262-compliant inductive position sensor (IPS) employing a 3.5 MHz-induced magnetic field source (much higher in frequency than vehicle–environment EXMFs) is proposed in this study as an alternative. To meet the safety goal, ...
Source: Sensors - December 26, 2022 Category: Biotechnology Authors: Hyung-Sok Lim Choul-Young Kim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1136: Pleasant Stroke Touch on Human Back by a Human and a Robot
Tsukasa Ogasawara Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can perform this kind of pleasant touch. However, it remains unclear whether robots can provide such a pleasant touch in a manner similar to humans. To investigate this issue, we compared the effect of the speed of gentle strokes on the back between human and robot agents on the emotional responses of human participants (n = 28). A robot or a human stroked on the...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Tomoki Ishikura Yuki Kitamura Wataru Sato Jun Takamatsu Akishige Yuguchi Sung-Gwi Cho Ming Ding Sakiko Yoshikawa Tsukasa Ogasawara Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2656: Laboratory-Based Examination of the Reliability and Validity of Kinematic Measures of Wrist and Finger Function Collected by a Telerehabilitation System in Persons with Chronic Stroke
Gerard Fluet We have developed the New Jersey Institute of Technology—Home Virtual Rehabilitation System (NJIT—HoVRS) to facilitate intensive, hand-focused rehabilitation in the home. We developed testing simulations with the goal of providing richer information for clinicians performing remote assessments. This paper presents the results of reliability testing examining differences between in-person and remote testing as well as discriminatory and convergent validity testing of a battery of six kinematic measures collected with NJIT—HoVRS. Two different groups of persons wi...
Source: Sensors - February 28, 2023 Category: Biotechnology Authors: Ashley MontJohnson Amanda Cronce Qinyin Qiu Jigna Patel Mee Eriksson Alma Merians Sergei Adamovich Gerard Fluet Tags: Article Source Type: research