Toward clinically-relevant joint moment estimation during sit to stand: a feasibility study

Hwang, Seoyoon; Choi, Seo-Young; Kim, Jong-Hyun

doi:10.1109/embc.2019.8857070

Cited by 1 publication

(2 citation statements)

References 20 publications

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“…For sitting and standing, we used θ thigh,sit obtained from Equation (4), θ thigh,stand = 85.2° [ 40 ], and

thigh ,sit =

thigh ,stand = 0. Since force sensing resistors (FSR) to detect seat-off were attached to the chair ( Figure 2 a), the thigh angle at seat-off ( θ thigh,off ) could be obtained from an equation for the distance between the FSR landmark ( p FSR = {0, d 7 , d 8 }) and the thigh segment line that passes through the knee joint position p knee,off [ 41 ] if we knew the distance d 9 between the thigh segment line and the FSR landmark, as follow:

with p rel,2 = p FSR − p knee,off . Note that p knee,off can be obtained by using p ankle , l shank , and θ shank,off .…”

Section: Methodsmentioning

confidence: 99%

“…θ thigh,stand = 0. Since force sensing resistors (FSR) to detect seat-off were attached to the chair (Figure 2a), the thigh angle at seat-off (θ thigh,off ) could be obtained from an equation for the distance between the FSR landmark (p FSR = {0, d 7 , d 8 }) and the thigh segment line that passes through the knee joint position p knee,off [41] if we knew the distance d 9 between the thigh segment line and the FSR landmark, as follow:…”

Section: Thigh Angle Calculation After Sittingmentioning

confidence: 99%

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A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand

Hwang

Choi

Lee

et al. 2021

Sensors

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To provide effective diagnosis and rehabilitation, the evaluation of joint moments during sit-to-stand is essential. The conventional systems for the evaluation, which use motion capture cameras, are quite accurate. However, the systems are not widely used in clinics due to their high cost, inconvenience, and the fact they require lots of space. To solve these problems, some studies have attempted to use inertial sensors only, but they were still inconvenient and inaccurate with asymmetric weight-bearing. We propose a novel joint moment estimation system that can evaluate both symmetric and asymmetric sit-to-stands. To make a simplified system, the proposal is based on a kinematic model that estimates segment angles using a single inertial sensor attached to the shank and a force plate. The system was evaluated with 16 healthy people through symmetric and asymmetric weight-bearing sit-to-stand. The results showed that the proposed system (1) has good accuracy in estimating joint moments (root mean square error < 0.110 Nm/kg) with high correlation (correlation coefficient > 0.99) and (2) is clinically relevant due to its simplicity and applicability of asymmetric sit-to-stand.

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“…For sitting and standing, we used θ thigh,sit obtained from Equation (4), θ thigh,stand = 85.2° [ 40 ], and

thigh ,sit =

with p rel,2 = p FSR − p knee,off . Note that p knee,off can be obtained by using p ankle , l shank , and θ shank,off .…”

Section: Methodsmentioning

confidence: 99%

Section: Thigh Angle Calculation After Sittingmentioning

confidence: 99%

A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand

Hwang

Choi

Lee

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

Toward clinically-relevant joint moment estimation during sit to stand: a feasibility study

Cited by 1 publication

References 20 publications

A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand

A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand

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