segmentation methods Search Results


sesc method and segmental analysis method  (Xsens North America Inc)
90
Xsens North America Inc sesc method and segmental analysis method
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Sesc Method And Segmental Analysis Method, supplied by Xsens North America Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hybrid segmentation method h-segmed  (Segmed Inc)
90
Segmed Inc hybrid segmentation method h-segmed
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Hybrid Segmentation Method H Segmed, supplied by Segmed Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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semi-automatic segmentation method sectorassisttm  (MIM Software Inc)
90
MIM Software Inc semi-automatic segmentation method sectorassisttm
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Semi Automatic Segmentation Method Sectorassisttm, supplied by MIM Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/semi-automatic segmentation method sectorassisttm/product/MIM Software Inc
Average 90 stars, based on 1 article reviews
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direct segmental multi-frequency bioelectrical impedance method inbody 270  (Biospace Korea)
90
Biospace Korea direct segmental multi-frequency bioelectrical impedance method inbody 270
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Direct Segmental Multi Frequency Bioelectrical Impedance Method Inbody 270, supplied by Biospace Korea, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/direct segmental multi-frequency bioelectrical impedance method inbody 270/product/Biospace Korea
Average 90 stars, based on 1 article reviews
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semi-automatic segmentation method based on threshold principles  (Simpleware Ltd)
90
Simpleware Ltd semi-automatic segmentation method based on threshold principles
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Semi Automatic Segmentation Method Based On Threshold Principles, supplied by Simpleware Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/semi-automatic segmentation method based on threshold principles/product/Simpleware Ltd
Average 90 stars, based on 1 article reviews
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active contour method for ilm segmentation  (Hausser Scientific)
90
Hausser Scientific active contour method for ilm segmentation
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Active Contour Method For Ilm Segmentation, supplied by Hausser Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/active contour method for ilm segmentation/product/Hausser Scientific
Average 90 stars, based on 1 article reviews
active contour method for ilm segmentation - by Bioz Stars, 2026-04
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gradient-based edge detection tool  (MIM Software Inc)
90
MIM Software Inc gradient-based edge detection tool
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Gradient Based Edge Detection Tool, supplied by MIM Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gradient-based edge detection tool/product/MIM Software Inc
Average 90 stars, based on 1 article reviews
gradient-based edge detection tool - by Bioz Stars, 2026-04
90/100 stars
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spectral angle segmentation method  (SAS institute)
90
SAS institute spectral angle segmentation method
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Spectral Angle Segmentation Method, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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semi-automated segmentation method based on 3d hounsfield-unit-related endocardial and epicardial contour detection syngovia cardiac ct module  (Siemens AG)
90
Siemens AG semi-automated segmentation method based on 3d hounsfield-unit-related endocardial and epicardial contour detection syngovia cardiac ct module
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Semi Automated Segmentation Method Based On 3d Hounsfield Unit Related Endocardial And Epicardial Contour Detection Syngovia Cardiac Ct Module, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/semi-automated segmentation method based on 3d hounsfield-unit-related endocardial and epicardial contour detection syngovia cardiac ct module/product/Siemens AG
Average 90 stars, based on 1 article reviews
semi-automated segmentation method based on 3d hounsfield-unit-related endocardial and epicardial contour detection syngovia cardiac ct module - by Bioz Stars, 2026-04
90/100 stars
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systems and methods for identifying non-corrupted signal segments for use in determining physiological parameters  (Puritan Bennett Corp)
90
Puritan Bennett Corp systems and methods for identifying non-corrupted signal segments for use in determining physiological parameters
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Systems And Methods For Identifying Non Corrupted Signal Segments For Use In Determining Physiological Parameters, supplied by Puritan Bennett Corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/systems and methods for identifying non-corrupted signal segments for use in determining physiological parameters/product/Puritan Bennett Corp
Average 90 stars, based on 1 article reviews
systems and methods for identifying non-corrupted signal segments for use in determining physiological parameters - by Bioz Stars, 2026-04
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readout-segmented echo-planar diffusion methods (rs-dwi)  (Siemens Healthineers)
90
Siemens Healthineers readout-segmented echo-planar diffusion methods (rs-dwi)
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Readout Segmented Echo Planar Diffusion Methods (Rs Dwi), supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/readout-segmented echo-planar diffusion methods (rs-dwi)/product/Siemens Healthineers
Average 90 stars, based on 1 article reviews
readout-segmented echo-planar diffusion methods (rs-dwi) - by Bioz Stars, 2026-04
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classical method of counting by using gmm and image segmentations  (Isler Genetics)
90
Isler Genetics classical method of counting by using gmm and image segmentations
The RMSEs of the <t> CoM </t> estimations based on <t> SESC </t> and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.
Classical Method Of Counting By Using Gmm And Image Segmentations, supplied by Isler Genetics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/classical method of counting by using gmm and image segmentations/product/Isler Genetics
Average 90 stars, based on 1 article reviews
classical method of counting by using gmm and image segmentations - by Bioz Stars, 2026-04
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Image Search Results


The RMSEs of the CoM estimations based on SESC and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: The RMSEs of the CoM estimations based on SESC and segmental (XSENS) method for 11 Fit subjects along AP and ML axes.

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques:

The RMSEs of the CoM estimations based on SESC and segmental (XSENS) method for 14 Obese subjects along AP and ML axes.

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: The RMSEs of the CoM estimations based on SESC and segmental (XSENS) method for 14 Obese subjects along AP and ML axes.

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques:

Box and Whisker plots for the RMSE values of SESC and XSENS CoM estimations along the AP-axis ( a ) and ML-axis ( b ) for both Fit and Obese groups. IQRs are represented by the blue boxes, median values are indicated by the bars within the boxes, the whiskers represent the minimum and maximum ranges, and the dots represent the outliers.

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: Box and Whisker plots for the RMSE values of SESC and XSENS CoM estimations along the AP-axis ( a ) and ML-axis ( b ) for both Fit and Obese groups. IQRs are represented by the blue boxes, median values are indicated by the bars within the boxes, the whiskers represent the minimum and maximum ranges, and the dots represent the outliers.

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques: Whisker Assay

Pearson correlation coefficients for the CoP measurements and CoM estimations by SESC and XSENS for Fit and Obese groups along the AP and ML axes (Significant correlations ( p < 0.001) are indicated by *).

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: Pearson correlation coefficients for the CoP measurements and CoM estimations by SESC and XSENS for Fit and Obese groups along the AP and ML axes (Significant correlations ( p < 0.001) are indicated by *).

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques:

Bland–Altman plots of the CoM estimations against the CoP readings for subjects belonging to the Fit group. Mean bias and limits of agreement are shown by the straight black lines, while confidence intervals are shown by the dotted lines. ( a ) represents the SESC estimations in the AP direction, ( b ) represents the SESC estimations in the ML direction, ( c ) represents the XSENS estimations in the AP direction, and ( d ) represents the SESC estimations in the ML direction.

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: Bland–Altman plots of the CoM estimations against the CoP readings for subjects belonging to the Fit group. Mean bias and limits of agreement are shown by the straight black lines, while confidence intervals are shown by the dotted lines. ( a ) represents the SESC estimations in the AP direction, ( b ) represents the SESC estimations in the ML direction, ( c ) represents the XSENS estimations in the AP direction, and ( d ) represents the SESC estimations in the ML direction.

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques:

Bland–Altman plots of the CoM estimations against the CoP readings for subjects belonging to the Obese group. Mean bias and limits of agreement are shown by the straight black lines, while confidence intervals are shown by the dotted lines. ( a ) represents the SESC estimations in the AP direction, ( b ) represents the SESC estimations in the ML direction, ( c ) represents the XSENS estimations in the AP direction, and ( d ) represents the SESC estimations in the ML direction.

Journal: Scientific Reports

Article Title: Evaluation of center of mass estimation for obese using statically equivalent serial chain

doi: 10.1038/s41598-022-26763-1

Figure Lengend Snippet: Bland–Altman plots of the CoM estimations against the CoP readings for subjects belonging to the Obese group. Mean bias and limits of agreement are shown by the straight black lines, while confidence intervals are shown by the dotted lines. ( a ) represents the SESC estimations in the AP direction, ( b ) represents the SESC estimations in the ML direction, ( c ) represents the XSENS estimations in the AP direction, and ( d ) represents the SESC estimations in the ML direction.

Article Snippet: In this study, we estimated the human CoM using the SESC method and segmental analysis method (provided by XSENS MVN software) during various static conditions, and compared the estimations with the CoP readings recorded by a force platform.

Techniques: