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Total 601 results found since Jan 2013.

Identification, characterization, and engineering of glycosylation in thrombolyticsa
Biotechnol Adv. 2023 May 12:108174. doi: 10.1016/j.biotechadv.2023.108174. Online ahead of print.ABSTRACTCardiovascular diseases, such as myocardial infarction, ischemic stroke, and pulmonary embolism, are the most common causes of disability and death worldwide. Blood clot hydrolysis by thrombolytic enzymes and thrombectomy are key clinical interventions. The most widely used thrombolytic enzyme is alteplase, which has been used in clinical practice since 1986. Another clinically used thrombolytic protein is tenecteplase, which has modified epitopes and engineered glycosylation sites, suggesting that carbohydrate modifica...
Source: Biotechnology Advances - May 14, 2023 Category: Biotechnology Authors: Martin Toul Veronika Slonkova Jan Mican Adam Urminsky Maria Tomkova Erik Sedlak David Bednar Jiri Damborsky Lenka Hernychova Zbynek Prokop Source Type: research

Sensors, Vol. 23, Pages 4632: Accuracy of a Smartwatch to Assess Heart Rate Monitoring and Atrial Fibrillation in Stroke Patients
Conclusion: The FC5 was accurate at assessing the HR during SR, but the accuracy during AF was poor. In contrast, the IRN feature was acceptable for guiding decisions regarding AF screening in stroke patients.
Source: Sensors - May 10, 2023 Category: Biotechnology Authors: Claudia Meza Jesus Juega Jaume Francisco Alba Santos Laura Duran Maite Rodriguez Jose Alvarez-Sabin Laia Sero Xavier Ustrell Saima Bashir Joaqu ín Serena Yolanda Silva Carlos Molina Jorge Pagola Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4304: Performance-Based Robotic Training in Individuals with Subacute Stroke: Differences between Responders and Non-Responders
Jamin The high variability of upper limb motor recovery with robotic training (RT) in subacute stroke underscores the need to explore differences in responses to RT. We explored differences in baseline characteristics and the RT dose between responders (ΔFugl-Meyer Assessment (FMA) score ≥9 points; n = 20) and non-responders (n = 16) in people with subacute stroke (mean [SD] poststroke time at baseline, 54 (26) days, baseline FMA score, 23 (17) points) who underwent 16 RT sessions combined with conventional therapies. Baseline characteristics were compared between groups. During RT sessions, t...
Source: Sensors - April 26, 2023 Category: Biotechnology Authors: Oph élie Pila Christophe Duret Typhaine Koeppel Pascal Jamin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4042: Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot
Changcheng Shi Robot-assisted rehabilitation therapy has been proven to effectively improve upper-limb motor function in stroke patients. However, most current rehabilitation robotic controllers will provide too much assistance force and focus only on the patient’s position tracking performance while ignoring the patient’s interactive force situation, resulting in the inability to accurately assess the patient’s true motor intention and difficulty stimulating the patient’s initiative, thus negatively affecting the patient’s rehabilitation outcome....
Source: Sensors - April 17, 2023 Category: Biotechnology Authors: Yang Hu Jingyan Meng Guoning Li Dazheng Zhao Guang Feng Guokun Zuo Yunfeng Liu Jiaji Zhang Changcheng Shi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3889: EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients & rsquo; Rehabilitation
This study used the proposed motor imagery (MI) framework to analyze the electroencephalogram (EEG) dataset from eight subjects in order to enhance the MI-based BCI systems for stroke patients. The preprocessing portion of the framework comprises the use of conventional filters and the independent component analysis (ICA) denoising approach. Fractal dimension (FD) and Hurst exponent (Hur) were then calculated as complexity features, and Tsallis entropy (TsEn) and dispersion entropy (DispEn) were assessed as irregularity parameters. The MI-based BCI features were then statistically retrieved from each participant using two-...
Source: Sensors - April 11, 2023 Category: Biotechnology Authors: Noor Kamal Al-Qazzaz Alaa A. Aldoori Sawal Hamid Bin Mohd Ali Siti Anom Ahmad Ahmed Kazem Mohammed Mustafa Ibrahim Mohyee Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3829: First Ex Vivo Animal Study of a Biological Heart Valve Prosthesis Sensorized with Intravalvular Impedance
In this study, for the first time, we investigate ex vivo the IVI sensing applied to a BHV when it is surrounded by biological tissue, similar to a real implant condition. A commercial model of BHV was sensorized with three miniaturized electrodes embedded in the commissures of the valve leaflets and connected to an external impedance measurement unit. To perform ex vivo animal tests, the sensorized BHV was implanted in the aortic position of an explanted porcine heart, which was connected to a cardiac BioSimulator platform. The IVI signal was recorded in different dynamic cardiac conditions reproduced with the BioSimulato...
Source: Sensors - April 8, 2023 Category: Biotechnology Authors: Laura Cercenelli Camilla Gironi Barbara Bortolani Emanuela Marcelli Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3487: Assessment of Passive Upper Limb Stiffness and Its Function in Post-Stroke Individuals Wearing an Inertial Sensor during the Pendulum Test
This article proposes the evaluation of the passive movement of the affected elbow during the pendulum test in people with stroke and its correlation with the main clinical scales (Modified Ashworth Scale, Motor Activity Log, and Fulg Meyer). An inertial sensor was attached to the forearm of seven subjects, who then passively flexed and extended the elbow. Joint angles and variables that indicate viscoelastic properties, stiffness (K), damping (B), E1 amp, F1 amp, and relaxation indices were collected. The results show that the FM scale is significantly correlated with the natural frequency (p = 0.024). The MAL amount-of-u...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Milene Soares Nogueira de Lima Clarissa Cardoso dos Santos Couto Paz Thais Gontijo Ribeiro Emerson Fachin-Martins Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3481: Quantification and Rehabilitation of Unilateral Spatial Neglect in Immersive Virtual Reality: A Validation Study in Healthy Subjects
In this study, we compared the effects of virtual and real prisms in healthy subjects and evaluated the performance of our virtual reality tool (HTC Vive) against a validated motion capture tool. Ten healthy subjects were randomly exposed to virtual and real prisms, and measurements were taken before and after exposure. Our findings indicate that virtual prisms are at least as effective as real prisms in inducing aftereffects (4.39° ± 2.91° with the virtual prisms compared to 4.30° ± 3.49° with the real prisms), but that these effects were not su...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Germain Faity Yasmine Sidahmed Isabelle Laffont J érôme Froger Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3500: A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform
il Roushdy Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care that patients receive at home remotely and the successful establishment of smart living environments. Building a real AI for mobile AI in an integrated smart hospital environment is a challenging problem due to the complexities of receiving IoT medical sensors data, data analysis, and deep learning algorithm complexity programming for mobile AI engine implementa...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Bassant M. Elbagoury Luige Vladareanu Victor Vl ădăreanu Abdel Badeeh Salem Ana-Maria Travediu Mohamed Ismail Roushdy Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3463: Patient & ndash;Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System
Sensors, Vol. 23, Pages 3463: Patient–Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System Sensors doi: 10.3390/s23073463 Authors: Giuseppe Placidi Alessandro Di Matteo Daniele Lozzi Matteo Polsinelli Eleni Theodoridou Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the tasks it uses are reproducible. When combined with assistive technologies, such as robots, virtual reality, tracking systems, or a combination of them, it can also allow the recording of a patient’s progression and rehabilitat...
Source: Sensors - March 25, 2023 Category: Biotechnology Authors: Giuseppe Placidi Alessandro Di Matteo Daniele Lozzi Matteo Polsinelli Eleni Theodoridou Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3396: Mobile App Interventions for Parkinson & rsquo;s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review
Sensors, Vol. 23, Pages 3396: Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review Sensors doi: 10.3390/s23073396 Authors: Andreas Triantafyllidis Sofia Segkouli Stelios Zygouris Christina Michailidou Konstantinos Avgerinakis Evangelia Fappa Sophia Vassiliades Anastasia Bougea Nikos Papagiannakis Ioannis Katakis Evangelos Mathioudis Alexandru Sorici Lidia Bajenaru Valentina Tageo Francesco Camonita Christoniki Magga-Nteve Stefanos Vrochidis Ludovico Pedullà Giampaolo Brichetto Panagiotis Tsakanikas Konstantinos...
Source: Sensors - March 23, 2023 Category: Biotechnology Authors: Andreas Triantafyllidis Sofia Segkouli Stelios Zygouris Christina Michailidou Konstantinos Avgerinakis Evangelia Fappa Sophia Vassiliades Anastasia Bougea Nikos Papagiannakis Ioannis Katakis Evangelos Mathioudis Alexandru Sorici Lidia Bajenaru Valentina T Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3291: Measures of Maximal Tactile Pressures during a Sustained Grasp Task Using a TactArray Device Have Satisfactory Reliability and Concurrent Validity in People with Stroke
This study found that measures of reliability assessed by changes in means were good, coefficients of variation were good to acceptable, and ICCs were very good for maximal tactile pressures using the average pressure of the mean of three trials over 8 s in the affected hand with and without vision for within-day sessions and without vision for between-day sessions. In the less affected hand, changes in mean were very good, coefficients of variations were acceptable, and ICCs were good to very good for maximal tactile pressures using the average pressure of the mean of three trials over 8 s and 5 s, respectively, in betwee...
Source: Sensors - March 20, 2023 Category: Biotechnology Authors: Urvashy Gopaul Derek Laver Leeanne Carey Thomas Matyas Paulette van Vliet Robin Callister Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3281: NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform
Conclusions: Subsequent design improvements will implement additional absolute orientation sensors, MARG/EMG based biofeedback to the game, improved immersion through Augmented Reality and improvements towards system robustness.
Source: Sensors - March 20, 2023 Category: Biotechnology Authors: Konstantinos Mitsopoulos Vasiliki Fiska Konstantinos Tagaras Athanasios Papias Panagiotis Antoniou Konstantinos Nizamis Konstantinos Kasimis Paschalina-Danai Sarra Diamanto Mylopoulou Theodore Savvidis Apostolos Praftsiotis Athanasios Arvanitidis George L Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3089: Effects of Upper Limb Robot-Assisted Rehabilitation Compared with Conventional Therapy in Patients with Stroke: Preliminary Results on a Daily Task Assessed Using Motion Analysis
Aprile Robotic rehabilitation of the upper limb has demonstrated promising results in terms of the improvement of arm function in post-stroke patients. The current literature suggests that robot-assisted therapy (RAT) is comparable to traditional approaches when clinical scales are used as outcome measures. Instead, the effects of RAT on the capacity to execute a daily life task with the affected upper limb are unknown, as measured using kinematic indices. Through kinematic analysis of a drinking task, we examined the improvement in upper limb performance between patients following a robotic or conventional 30-session...
Source: Sensors - March 13, 2023 Category: Biotechnology Authors: Marco Germanotta Laura Cortellini Sabina Insalaco Irene Aprile Tags: Article Source Type: research