LIVIVO - Search results -

Search results

Result 1 - 10 of total 496

Search options

Article ; Online: Gesture Recognition in Robotic Surgery: A Review.

van Amsterdam, Beatrice / Clarkson, Matthew J / Stoyanov, Danail

IEEE transactions on bio-medical engineering

2021 Volume 68, Issue 6, Page(s) 2021–2035

Abstract: Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven ... ...

Abstract	Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions. Methods: An article search was performed on 5 bibliographic databases with the following search terms: robotic, robot-assisted, JIGSAWS, surgery, surgical, gesture, fine-grained, surgeme, action, trajectory, segmentation, recognition, parsing. Selected articles were classified based on the level of supervision required for training and divided into different groups representing major frameworks for time series analysis and data modelling. Results: A total of 52 articles were reviewed. The research field is showing rapid expansion, with the majority of articles published in the last 4 years. Deep-learning-based temporal models with discriminative feature extraction and multi-modal data integration have demonstrated promising results on small surgical datasets. Currently, unsupervised methods perform significantly less well than the supervised approaches. Conclusion: The development of large and diverse open-source datasets of annotated demonstrations is essential for development and validation of robust solutions for surgical gesture recognition. While new strategies for discriminative feature extraction and knowledge transfer, or unsupervised and semi-supervised approaches, can mitigate the need for data and labels, they have not yet been demonstrated to achieve comparable performance. Important future research directions include detection and forecast of gesture-specific errors and anomalies. Significance: This paper is a comprehensive and structured analysis of surgical gesture recognition methods aiming to summarize the status of this rapidly evolving field.
MeSH term(s)	Gestures ; Pattern Recognition, Automated ; Robotic Surgical Procedures
Language	English
Publishing date	2021-05-21
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	160429-6
ISSN	1558-2531 ; 0018-9294
ISSN (online)	1558-2531
ISSN	0018-9294
DOI	10.1109/TBME.2021.3054828
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 425: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: How prism adaptation reveals the distinct use of size and positions in grasping.

Smeets, Jeroen B J / Pennekamp, Ian / van Amsterdam, Bente / Schot, Willemijn D

Experimental brain research

2022 Volume 241, Issue 1, Page(s) 105–111

Abstract: The size of an object equals the distance between the positions of its opposite edges. However, human sensory processing for perceiving positions differs from that for perceiving size. Which of these two information sources is used to control grip ... ...

Abstract	The size of an object equals the distance between the positions of its opposite edges. However, human sensory processing for perceiving positions differs from that for perceiving size. Which of these two information sources is used to control grip aperture? In this paper, we answer this question by prism adaptation of single-digit movements of the index finger and thumb. We previously showed that it is possible to adapt the index finger and thumb in opposite directions and that this adaptation induces an aftereffect in grip aperture in grasping. This finding suggests that grasping is based on the perceived positions of the contact points. However, it might be compatible with grasping being controlled based on size provided that the opposing prism adaptation leads to changes in visually perceived size or proprioception of hand opening. In that case, one would predict a similar aftereffect in manually indicating the perceived size. In contrast, if grasping is controlled based on information about the positions of the edges, the aftereffect in grasping is due to altered position information, so one would predict no aftereffect in manually indicating the perceived size. Our present experiment shows that there was no aftereffect in manually indicating perceived size. We conclude that grip aperture during grasping is based on perceived positions rather than on perceived size.
MeSH term(s)	Humans ; Fingers ; Hand ; Adaptation, Physiological ; Hand Strength ; Movement ; Psychomotor Performance
Language	English
Publishing date	2022-11-12
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1201-4
ISSN	1432-1106 ; 0014-4819
ISSN (online)	1432-1106
ISSN	0014-4819
DOI	10.1007/s00221-022-06506-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 278: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Setup of a Contamination Control Strategy Using the Hazard Analysis Critical Control Point (HACCP) Methodology.

van der Galiën, R / Langen, A L / Jacobs, L J M / Hagen, B / Flahive, K / Chatterjee, S D / van Amsterdam, M C

PDA journal of pharmaceutical science and technology

2023 Volume 77, Issue 4, Page(s) 317–328

Abstract: A Contamination Control Strategy (CCS) is a document that focuses on how to prevent contaminations with microorganisms, particles, and pyrogens within sterile and/or aseptic and preferably also in nonsterile manufacturing facilities. This document ... ...

Abstract	A Contamination Control Strategy (CCS) is a document that focuses on how to prevent contaminations with microorganisms, particles, and pyrogens within sterile and/or aseptic and preferably also in nonsterile manufacturing facilities. This document determines to what extent measures and controls in place are efficient in preventing contamination. In order to efficiently evaluate and control all potential hazards associated with sources of contamination within a CCS, the Hazard Analysis Critical Control Point (HACCP) methodology could be a useful tool to monitor all Critical Control Points (CCPs) related to various sources of contamination. This article describes a way to set up the CCS within a pharmaceutical sterile and aseptic manufacturing facility (GE HealthCare Pharmaceutical Diagnostics) by applying the HACCP methodology. In 2021, a global CCS procedure and a general HACCP template became effective for the GE HealthCare Pharmaceutical Diagnostics sites having sterile and/or aseptic manufacturing processes. This procedure guides the sites through the setup of the CCS by applying the HACCP methodology and helps each site to evaluate whether the CCS is still effective taking all (proactive and retrospective) data following the CCS into account. A summary of setting up a CCS using the HACCP methodology, specifically for the pharmaceutical company GE HealthCare Pharmaceutical Diagnostics Eindhoven site, is provided in this article. Use of the HACCP methodology enables a company to include proactive data within the CCS, making use of all identified sources of contamination, associated hazards, and/or control measures and CCPs. The constructed CCS allows the manufacturer to identify whether all included sources of contamination are under control and, if not, which mitigatory actions need to be performed. All current states are reflected by a traffic light color to reflect the level of residual risk, thereby providing a simple and clear visual representation of the current contamination control and microbial state of the manufacturing site.
MeSH term(s)	Hazard Analysis and Critical Control Points ; Retrospective Studies ; Drug Contamination/prevention & control ; Manufacturing and Industrial Facilities ; Pharmaceutical Preparations ; Food Contamination/analysis ; Food Contamination/prevention & control
Chemical Substances	Pharmaceutical Preparations
Language	English
Publishing date	2023-05-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	1205009-x
ISSN	1948-2124 ; 0277-3406 ; 1076-397X ; 0279-7976 ; 1079-7440
ISSN (online)	1948-2124
ISSN	0277-3406 ; 1076-397X ; 0279-7976 ; 1079-7440
DOI	10.5731/pdajpst.2022.012783
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 766: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.MO 525: Show issues

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: How prism adaptation reveals the distinct use of size and positions in grasping

Smeets, Jeroen B. J. / Pennekamp, Ian / van Amsterdam, Bente / Schot, Willemijn D.

Exp Brain Res. 2023 Jan., v. 241, no. 1, p. 105-111

2023 , Page(s) 105–111

Abstract	The size of an object equals the distance between the positions of its opposite edges. However, human sensory processing for perceiving positions differs from that for perceiving size. Which of these two information sources is used to control grip aperture? In this paper, we answer this question by prism adaptation of single-digit movements of the index finger and thumb. We previously showed that it is possible to adapt the index finger and thumb in opposite directions and that this adaptation induces an aftereffect in grip aperture in grasping. This finding suggests that grasping is based on the perceived positions of the contact points. However, it might be compatible with grasping being controlled based on size provided that the opposing prism adaptation leads to changes in visually perceived size or proprioception of hand opening. In that case, one would predict a similar aftereffect in manually indicating the perceived size. In contrast, if grasping is controlled based on information about the positions of the edges, the aftereffect in grasping is due to altered position information, so one would predict no aftereffect in manually indicating the perceived size. Our present experiment shows that there was no aftereffect in manually indicating perceived size. We conclude that grip aperture during grasping is based on perceived positions rather than on perceived size.
Keywords	brain ; humans ; proprioception
Language	English
Dates of publication	2023-01
Size	p. 105-111
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1201-4
ISSN	1432-1106 ; 0014-4819
ISSN (online)	1432-1106
ISSN	0014-4819
DOI	10.1007/s00221-022-06506-4
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 88/701: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: Correlation between Serum Biomarkers and Lung Ultrasound in COVID-19: An Observational Study.

Diagnostics (Basel, Switzerland)

2024 Volume 14, Issue 4

Abstract: Serum biomarkers and lung ultrasound are important measures for prognostication and treatment allocation in patients with COVID-19. Currently, there is a paucity of studies investigating relationships between serum biomarkers and ultrasonographic ... ...

Abstract	Serum biomarkers and lung ultrasound are important measures for prognostication and treatment allocation in patients with COVID-19. Currently, there is a paucity of studies investigating relationships between serum biomarkers and ultrasonographic biomarkers derived from lung ultrasound. This study aims to assess correlations between serum biomarkers and lung ultrasound findings. This study is a secondary analysis of four prospective observational studies in adult patients with COVID-19. Serum biomarkers included markers of epithelial injury, endothelial dysfunction and immune activation. The primary outcome was the correlation between biomarker concentrations and lung ultrasound score assessed with Pearson's (r) or Spearman's (r
Language	English
Publishing date	2024-02-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics14040421
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Book ; Online: Gesture Recognition in Robotic Surgery

van Amsterdam, Beatrice / Clarkson, Matthew J. / Stoyanov, Danail

a Review

2021

Abstract	Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions. Methods: An article search was performed on 5 bibliographic databases with the following search terms: robotic, robot-assisted, JIGSAWS, surgery, surgical, gesture, fine-grained, surgeme, action, trajectory, segmentation, recognition, parsing. Selected articles were classified based on the level of supervision required for training and divided into different groups representing major frameworks for time series analysis and data modelling. Results: A total of 52 articles were reviewed. The research field is showing rapid expansion, with the majority of articles published in the last 4 years. Deep-learning-based temporal models with discriminative feature extraction and multi-modal data integration have demonstrated promising results on small surgical datasets. Currently, unsupervised methods perform significantly less well than the supervised approaches. Conclusion: The development of large and diverse open-source datasets of annotated demonstrations is essential for development and validation of robust solutions for surgical gesture recognition. While new strategies for discriminative feature extraction and knowledge transfer, or unsupervised and semi-supervised approaches, can mitigate the need for data and labels, they have not yet been demonstrated to achieve comparable performance. Important future research directions include detection and forecast of gesture-specific errors and anomalies. Significance: This paper is a comprehensive and structured analysis of surgical gesture recognition methods aiming to summarize the status of this rapidly evolving field. Comment: in IEEE Transactions on Biomedical Engineering, 2021
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Robotics ; 68T40 ; 68T10 ; 68T07 ; 68T45
Subject code	004 ; 006
Publishing date	2021-01-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Putative Antidepressant Effect of Chamomile (

Amsterdam, Jay D / Li, Qing S / Xie, Sharon X / Mao, Jun J

Journal of alternative and complementary medicine (New York, N.Y.)

2019 Volume 26, Issue 9, Page(s) 813–819

Abstract: Objectives: ...

Abstract	Objectives:
MeSH term(s)	Administration, Oral ; Adult ; Anti-Anxiety Agents/therapeutic use ; Antidepressive Agents/therapeutic use ; Anxiety/drug therapy ; Anxiety Disorders/complications ; Anxiety Disorders/drug therapy ; Chamomile ; Depression/complications ; Depression/drug therapy ; Depressive Disorder, Major/complications ; Depressive Disorder, Major/drug therapy ; Double-Blind Method ; Female ; Humans ; Male ; Matricaria ; Middle Aged ; Phytotherapy ; Plant Extracts/therapeutic use ; Psychiatric Status Rating Scales ; Treatment Outcome
Chemical Substances	Anti-Anxiety Agents ; Antidepressive Agents ; Plant Extracts
Language	English
Publishing date	2019-12-05
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	1237383-7
ISSN	1557-7708 ; 1075-5535
ISSN (online)	1557-7708
ISSN	1075-5535
DOI	10.1089/acm.2019.0252
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 4366: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Gesture Recognition in Robotic Surgery With Multimodal Attention.

van Amsterdam, Beatrice / Funke, Isabel / Edwards, Eddie / Speidel, Stefanie / Collins, Justin / Sridhar, Ashwin / Kelly, John / Clarkson, Matthew J / Stoyanov, Danail

IEEE transactions on medical imaging

2022 Volume 41, Issue 7, Page(s) 1677–1687

Abstract: Automatically recognising surgical gestures from surgical data is an important building block of automated activity recognition and analytics, technical skill assessment, intra-operative assistance and eventually robotic automation. The complexity of ... ...

Abstract	Automatically recognising surgical gestures from surgical data is an important building block of automated activity recognition and analytics, technical skill assessment, intra-operative assistance and eventually robotic automation. The complexity of articulated instrument trajectories and the inherent variability due to surgical style and patient anatomy make analysis and fine-grained segmentation of surgical motion patterns from robot kinematics alone very difficult. Surgical video provides crucial information from the surgical site with context for the kinematic data and the interaction between the instruments and tissue. Yet sensor fusion between the robot data and surgical video stream is non-trivial because the data have different frequency, dimensions and discriminative capability. In this paper, we integrate multimodal attention mechanisms in a two-stream temporal convolutional network to compute relevance scores and weight kinematic and visual feature representations dynamically in time, aiming to aid multimodal network training and achieve effective sensor fusion. We report the results of our system on the JIGSAWS benchmark dataset and on a new in vivo dataset of suturing segments from robotic prostatectomy procedures. Our results are promising and obtain multimodal prediction sequences with higher accuracy and better temporal structure than corresponding unimodal solutions. Visualization of attention scores also gives physically interpretable insights on network understanding of strengths and weaknesses of each sensor.
MeSH term(s)	Biomechanical Phenomena ; Gestures ; Humans ; Motion ; Robotic Surgical Procedures ; Robotics/methods
Language	English
Publishing date	2022-06-30
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	622531-7
ISSN	1558-254X ; 0278-0062
ISSN (online)	1558-254X
ISSN	0278-0062
DOI	10.1109/TMI.2022.3147640
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2546: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Book ; Online: Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction

van Amsterdam, Beatrice / Clarkson, Matthew J. / Stoyanov, Danail

2020

Abstract: Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical steps presents numerous challenges because surgical demonstrations are ... ...

Abstract	Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical steps presents numerous challenges because surgical demonstrations are characterized by high variability in style, duration and order of actions. In order to extract discriminative features from the kinematic signals and boost recognition accuracy, we propose a multi-task recurrent neural network for simultaneous recognition of surgical gestures and estimation of a novel formulation of surgical task progress. To show the effectiveness of the presented approach, we evaluate its application on the JIGSAWS dataset, that is currently the only publicly available dataset for surgical gesture recognition featuring robot kinematic data. We demonstrate that recognition performance improves in multi-task frameworks with progress estimation without any additional manual labelling and training. Comment: Accepted to ICRA 2020
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning ; Computer Science - Robotics ; I.5.0 ; I.2.9
Publishing date	2020-03-10
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: First-Phase Ejection Fraction and Long-Term Survival in Patients Who Underwent Transcatheter Aortic Valve Implantation.

Feder, Omri / Zahler, David / Szekely, Yishay / Gefen, Sheizaf / Amsterdam, Dana / Topilsky, Yan / Flint, Nir / Konigstein, Maayan / Halkin, Amir / Bazan, Samuel / Arbel, Yaron / Finkelstein, Ariel / Banai, Shmuel / Ben-Shoshan, Jeremy

The American journal of cardiology

2023 Volume 202, Page(s) 17–23

Abstract: Early recognition of deteriorating left ventricular function plays a key prognostic role in patients with aortic stenosis (AS). First-phase ejection fraction (EF1), the ejection fraction (EF) up to time of maximal contraction, has been suggested for ... ...

Abstract	Early recognition of deteriorating left ventricular function plays a key prognostic role in patients with aortic stenosis (AS). First-phase ejection fraction (EF1), the ejection fraction (EF) up to time of maximal contraction, has been suggested for detection of early left ventricular dysfunction in patients with AS with preserved EF. This work aims to evaluate the predictive value of EF1 for assessment of long-term survival in patients with symptomatic severe AS and preserved EF who undergo transcatheter aortic valve implantation (TAVI). We included 102 consecutive patients (median age 84 years [interquartile range 80 to 86 years]) who underwent TAVI between 2009 and 2011. Patients were retrospectively stratified into tertiles by EF1. Device success and procedural complications were defined according to the Valve Academic Research Consortium-3 criteria. Mortality data were retrieved from a computerized interface of the Israeli Ministry of Health. Baseline characteristics, co-morbidities, clinical presentation, and echocardiographic findings were similar among groups. The groups did not differ significantly regarding device success and in-hospital complications. During a potential follow-up period of >10 years, 88 patients died. Kaplan-Meier analysis (log-rank p = 0.017) followed by multivariable Cox regression analysis showed that EF1 predicted long-term mortality independently, either as continuous variable (hazard ratio 1.04, 95% confidence interval 1.01 to 1.07, p = 0.012) or for each decrease in tertile group (hazard ratio 1.40, 95% confidence interval 1.05 to 1.86, p = 0.023). In conclusion, low EF1 is associated with a significant decrease in adjusted hazard for long-term survival in patients with preserved EF who undergo TAVI. Low EF1 might delineate a population at great risk who would benefit from prompt intervention.
MeSH term(s)	Humans ; Aged, 80 and over ; Transcatheter Aortic Valve Replacement ; Stroke Volume ; Retrospective Studies ; Prognosis ; Ventricular Function, Left ; Aortic Valve Stenosis ; Aortic Valve/diagnostic imaging ; Aortic Valve/surgery ; Treatment Outcome
Language	English
Publishing date	2023-07-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	80014-4
ISSN	1879-1913 ; 0002-9149
ISSN (online)	1879-1913
ISSN	0002-9149
DOI	10.1016/j.amjcard.2023.06.038
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ui IV Zs.73: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

To top

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito