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Total 332 results found since Jan 2013.

Sensors, Vol. 22, Pages 8733: Supervised Myoelectrical Hand Gesture Recognition in Post-Acute Stroke Patients with Upper Limb Paresis on Affected and Non-Affected Sides
u Eiichi Ishikawa In clinical practice, acute post-stroke paresis of the extremities fundamentally complicates timely rehabilitation of motor functions; however, recently, residual and distorted musculoskeletal signals have been used to initiate feedback-driven solutions for establishing motor rehabilitation. Here, we investigate the possibilities of basic hand gesture recognition in acute stroke patients with hand paresis using a novel, acute stroke, four-component multidomain feature set (ASF-4) with feature vector weight additions (ASF-14NP, ASF-24P) and supervised learning algorithms trained only by surface elect...
Source: Sensors - November 11, 2022 Category: Biotechnology Authors: Alexey Anastasiev Hideki Kadone Aiki Marushima Hiroki Watanabe Alexander Zaboronok Shinya Watanabe Akira Matsumura Kenji Suzuki Yuji Matsumaru Eiichi Ishikawa Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8615: A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
is Kyriazis Extracting useful knowledge from proper data analysis is a very challenging task for efficient and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) algorithms, while, especially in healthcare, this complexity increases due to the domain’s requirements for analytics-based risk predictions. This manuscript proposes a data analysis mechanism experimented in diverse healthcare scenarios, towards constructing a catalogue of the most efficient ML algorithms to be used depending on the healthcare scenario’s requirements and datasets, for efficient...
Source: Sensors - November 8, 2022 Category: Biotechnology Authors: Argyro Mavrogiorgou Athanasios Kiourtis Spyridon Kleftakis Konstantinos Mavrogiorgos Nikolaos Zafeiropoulos Dimosthenis Kyriazis Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8519: Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0 & mdash;Toward the Creation of Digital-Twin Model
Sensors, Vol. 22, Pages 8519: Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model Sensors doi: 10.3390/s22218519 Authors: Sagheer Khan Imran M. Saied Tharmalingam Ratnarajah Tughrul Arslan The prevalence of chronic diseases and the rapid rise in the aging population are some of the major challenges in our society. The utilization of the latest and unique technologies to provide fast, accurate, and economical ways to collect and process data is inevitable. Industry 4.0 (I4.0) is a trend toward automation and data exchange. The utilization of the sam...
Source: Sensors - November 5, 2022 Category: Biotechnology Authors: Sagheer Khan Imran M. Saied Tharmalingam Ratnarajah Tughrul Arslan Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8387: Using Sensor Technology to Measure Gait Capacity and Gait Performance in Rehabilitation Inpatients with Neurological Disorders
W. Keijsers The aim of this study was to objectively assess and compare gait capacity and gait performance in rehabilitation inpatients with stroke or incomplete spinal cord injury (iSCI) using inertial measurement units (IMUs). We investigated how gait capacity (what someone can do) is related to gait performance (what someone does). Twenty-two inpatients (11 strokes, 11 iSCI) wore ankle positioned IMUs during the daytime to assess gait. Participants completed two circuits to assess gait capacity. These were videotaped to certify the validity of the IMU algorithm. Regression analyses were used to investigate if gait c...
Source: Sensors - November 1, 2022 Category: Biotechnology Authors: Maartje M. S. Hendriks Marije Vos-van der Hulst Ralf W. J. Weijs Jaap H. van Lotringen Alexander C. H. Geurts Noel L. W. Keijsers Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8273: Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller
savadas Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation methods have been used to assess the effects of stroke on the performance of activities of daily living (ADL). However, these methods are qualitative. A first step toward developing a quantitative evaluation method is to classify different ADL tasks based on the hand grasp. In this paper, a dataset is presented that includes data collected by a leap motion controller on the hand grasps of healthy adults performing eight common ADL tasks. Then, a set of features with time and frequency domains is combined with two well-...
Source: Sensors - October 28, 2022 Category: Biotechnology Authors: Hajar Sharif Ahmadreza Eslaminia Pramod Chembrammel Thenkurussi Kesavadas Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8029: Enteral Nutrition and Hydration in Patients with Acute Stroke: Efficacy of an Automatic Pump System for Water Administration and Flushes & mdash;A Pilot Study
Conclusion: This preliminary study suggests the efficacy of automatic flush systems to prevent enteral tube clogging, without affecting health status compared to standard manual flush systems.
Source: Sensors - October 20, 2022 Category: Biotechnology Authors: Alex Buoite Buoite Stella Paolo Manganotti Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7883: GRU Neural Network Improved Bioimpedance Based Stroke Volume Estimation during Ergometry Stress Test
d Orglmeister Cardiovascular diseases (CVDs) are one of the leading members of non-communicable diseases. An early diagnosis is essential for effective treatment, to reduce hospitalization time and health care costs. Nowadays, an exercise stress test on an ergometer is used to identify CVDs. To improve the accuracy of diagnostics, the hemodynamic status and parameters of a person can be investigated. For hemodynamic management, thoracic electrical bioimpedance has recently been used. This technique offers beat-to-beat stroke volume calculation but suffers from an artifact-sensitive signal that makes such measurements d...
Source: Sensors - October 17, 2022 Category: Biotechnology Authors: Mike Urban Michael Klum Alexandru-Gabriel Pielmus Falk Liebrenz Steffen Mann Timo Tigges Reinhold Orglmeister Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7746: Human & ndash;Robot Cooperative Strength Training Based on Robust Admittance Control Strategy
Sensors, Vol. 22, Pages 7746: Human–Robot Cooperative Strength Training Based on Robust Admittance Control Strategy Sensors doi: 10.3390/s22207746 Authors: Lin Wang Yang Liu Niu Vladareanu A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. Stroke survivors can effectively train muscle strength through leg flexion and extension training. However, available lower limb rehabilitation robots ignore the knee soft tissue protection of the elderly in training. This paper proposes a human–robot cooperative lower limb active strength trai...
Source: Sensors - October 12, 2022 Category: Biotechnology Authors: Lin Wang Yang Liu Niu Vladareanu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7558: Ground-Reaction-Force-Based Gait Analysis and Its Application to Gait Disorder Assessment: New Indices for Quantifying Walking Behavior
Kim Gait assessment is an important tool for determining whether a person has a gait disorder. Existing gait analysis studies have a high error rate due to the heel-contact-event-based technique. Our goals were to overcome the shortcomings of existing gait analysis techniques and to develop more objective indices for assessing gait disorders. This paper proposes a method for assessing gait disorders via the observation of changes in the center of pressure (COP) in the medial–lateral direction, i.e., COPx, during the gait cycle. The data for the COPx were used to design a gait cycle estimation method appli...
Source: Sensors - October 6, 2022 Category: Biotechnology Authors: Ji Su Park Choong Hyun Kim Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7392: The Accuracy of Commercially Available Fitness Trackers in Patients after Stroke
Conclusion: An accuracy comparable with the healthy population can be reached for all of the three groups of patients, while fulfilling the conditions for minimum speed of 2 km/h and optimal placement of the trackers with respect to a walking aid and aspect to impairment.
Source: Sensors - September 28, 2022 Category: Biotechnology Authors: Anna Holubov á Eli ška Malá Krist ýna Hoidekrová Jakub P ětioký Andrea Ďuriš Jan Mu žík Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7235: Slotted Monopole Patch Antenna for Microwave-Based Head Imaging Applications
Yousef Alharbi A modified monopole patch antenna for microwave-based hemorrhagic or ischemic stroke recognition is presented in this article. The designed antenna is fabricated on a cost-effective FR-4 lossy material with a 0.02 loss tangent and 4.4 dielectric constant. Its overall dimensions are 0.32 λ × 0.28 λ × 0.007 λ, where λ is the lower bandwidth 1.3 GHz frequency wavelength. An inset feeding approach is utilized to feed the antenna to reduce the input impedance (z = voltage/current). A total bandwidth (below &minu...
Source: Sensors - September 23, 2022 Category: Biotechnology Authors: Abdulrahman Alqahtani Mohammad Tariqul Islam Md Siam Talukder Md Samsuzzaman Mohsen Bakouri Sofiene Mansouri Thamer Almoneef Socrates Dokos Yousef Alharbi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7212: Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke
u Yen Yu-Hen Hu A novel wearable multi-sensor data glove system is developed to explore the relation between finger spasticity and voluntary movement in patients with stroke. Many stroke patients suffer from finger spasticity, which is detrimental to their manual dexterity. Diagnosing and assessing the degrees of spasticity require neurological testing performed by trained professionals to estimate finger spasticity scores via the modified Ashworth scale (MAS). The proposed system offers an objective, quantitative solution to assess the finger spasticity of patients with stroke and complements the manual neurological...
Source: Sensors - September 23, 2022 Category: Biotechnology Authors: Bor-Shing Lin I-Jung Lee Pei-Chi Hsiao Shu-Yu Yang Chen-Yu Chen Si-Huei Lee Yu-Fang Huang Mao-Hsu Yen Yu-Hen Hu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7197: Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review
Santos This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary use with assistive devices and/or physiotherapist-oriented cues. A literature search was conducted from January 2019 to September 2022 on Cochrane, Embase, PubMed, PEDro, Scopus, and Web of Science databases. Data regarding technical (sensors, biofeedback parameters, actuators, control strategies, assistive devices, physiotherapist-oriented cues) and clinical (particip...
Source: Sensors - September 22, 2022 Category: Biotechnology Authors: Cristiana Pinheiro Joana Figueiredo Jo ão Cerqueira Cristina P. Santos Tags: Review Source Type: research

Sensors, Vol. 22, Pages 6960: Using Deep Learning to Predict Minimum Foot & ndash;Ground Clearance Event from Toe-Off Kinematics
Sensors, Vol. 22, Pages 6960: Using Deep Learning to Predict Minimum Foot–Ground Clearance Event from Toe-Off Kinematics Sensors doi: 10.3390/s22186960 Authors: Clement Ogugua Asogwa Hanatsu Nagano Kai Wang Rezaul Begg Efficient, adaptive, locomotor function is critically important for maintaining our health and independence, but falls-related injuries when walking are a significant risk factor, particularly for more vulnerable populations such as older people and post-stroke individuals. Tripping is the leading cause of falls, and the swing-phase event Minimum Foot Clearance (MFC) is recognised as ...
Source: Sensors - September 14, 2022 Category: Biotechnology Authors: Clement Ogugua Asogwa Hanatsu Nagano Kai Wang Rezaul Begg Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6938: Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial
inkensmeyer After stroke, many people substantially reduce use of their impaired hand in daily life, even if they retain even a moderate level of functional hand ability. Here, we tested whether providing real-time, wearable feedback on the number of achieved hand movements, along with a daily goal, can help people increase hand use intensity. Twenty participants with chronic stroke wore the Manumeter, a novel magnetic wristwatch/ring system that counts finger and wrist movements. We randomized them to wear the device for three weeks with (feedback group) or without (control group) real-time hand count feedback and a d...
Source: Sensors - September 14, 2022 Category: Biotechnology Authors: Diogo Schwerz de Lucena Justin B. Rowe Shusuke Okita Vicky Chan Steven C. Cramer David J. Reinkensmeyer Tags: Article Source Type: research