Novel Planar Strain Sensor Design for Capturing 3-Dimensional Fingertip Forces from Patients Affected by Hand Paralysis

Carducci, Jacob; Olds, Kevin; Krakauer, John W.; Xu, Jing; Brown, Jeremy D.

doi:10.3390/s22197441

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…For sensitive elements, sensors with strain gauges as sensitive elements have been developed earlier and widely used in multidimensional force measurement. Carducci et al rationalized the arrangement of eight strain gauges on a three-dimensional force sensor to improve the sensing accuracy of the sensor (Carducci et al, 2022). He et al proposed a six-component wheel force transducer with 24 strain gauges coupled to 3.8% (He et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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A three-dimensional fiber Bragg grating wrist force sensor with separation elastic structure

Sun,

Pang,

Liao

et al. 2024

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Purpose The use of a force sensor to estimate the external force of manipulator not only needs to deal with the signal noise of the sensor itself but also needs to solve the coupling interference of the sensor itself, especially the axial force. The purpose of this paper is to develop a three-dimensional fiber Bragg grating (FBG) wrist force sensor, which has a simple structure and reduces the coupling influence between several axes. Design/methodology/approach A particular separation elastic structure with four FBGs is devised for the three-axial force sensor. One FBG is suspended on the profile of central cylinder and the other three FBGs are pasted on the elastic beam surface of the over and under measuring bodies, respectively. Finite element analysis (FEA) simulation has been implemented to the strain distribution characteristics, the output characteristics of each direction and the coupling effects of the structure. Furthermore, theoretical derivation and experimental results are used to compare, which have a good consistency. Findings The experiment results show that the maximum repeatability error of the sensor is 6.75%, the maximum nonlinear error is 5.36%, the maximum coupling interference is 4.73% and the minimum sensitivity is 1.58 pm/N. Originality/value A three-dimensional force sensor based on FBG adopts a particular separation elastic structure. The sensor can reduce the coupling influence between several axes, especially the coupling interference in the z-direction is 0.

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Section: Introductionmentioning

confidence: 99%

“…Carducci et al. rationalized the arrangement of eight strain gauges on a three-dimensional force sensor to improve the sensing accuracy of the sensor (Carducci et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

A three-dimensional fiber Bragg grating wrist force sensor with separation elastic structure

Sun,

Pang,

Liao

et al. 2024

View full text Add to dashboard Cite

show abstract

“…To accurately quantify finger activities in three dimensions (3D), we engineered a highly sensitive and ergonomic measurement device that allows simultaneous recording of small isometric forces at all five fingertips in 3D, the Hand Articulation Neuro-training Device (Carducci et al 2022) (HAND, JHU reference #C14603, Fig. 1A-B).…”

Section: Introductionmentioning

confidence: 99%

Loss of finger control complexity and intrusion of flexor biases are dissociable in finger individuation impairment after stroke

Xu,

Ma,

Kumar

et al. 2023

Preprint

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The ability to control each finger independently is an essential component of human hand dexterity. A common observation of hand function impairment after stroke is the loss of this finger individuation ability, often referred to as enslavement, i.e., the unwanted coactivation of non-intended fingers in individuated finger movements. In the previous literature, this impairment has been attributed to several factors, such as the loss of corticospinal drive, an intrusion of flexor synergy due to upregulations of the subcortical pathways, and/or biomechanical constraints. These factors may or may not be mutually exclusive and are often difficult to tease apart. It has also been suggested, based on a prevailing impression, that the intrusion of flexor synergy appears to be an exaggerated pattern of the involuntary coactivations of task-irrelevant fingers seen in a healthy hand, often referred to as a flexor bias. Most previous studies, however, were based on assessments of enslavement in a single dimension (i.e., finger flexion/extension) that coincide with the flexor bias, making it difficult to tease apart the other aforementioned factors. Here, we set out to closely examine the nature of individuated finger control and finger coactivation patterns in all dimensions. Using a novel measurement device and a 3D finger-individuation paradigm, we aim to tease apart the contributions of lower biomechanical, subcortical constraints, and top-down cortical control to these patterns in both healthy and stroke hands. For the first time, we assessed all five fingers' full capacity for individuation. Our results show that these patterns in the healthy and paretic hands present distinctly different shapes and magnitudes that are not influenced by biomechanical constraints. Those in the healthy hand presented larger angular distances that were dependent on top-down task goals, whereas those in the paretic hand presented larger Euclidean distances that arise from two dissociable factors: a loss of complexity in finger control and the dominance of an intrusion of flexor bias. These results suggest that finger individuation impairment after stroke is due to two dissociable factors: the loss of finger control complexity present in the healthy hand reflecting a top-down neural control strategy and an intrusion of flexor bias likely due to an upregulation of subcortical pathways. Our device and paradigm are demonstrated to be a promising tool to assess all aspects of the dexterous capacity of the hand.

show abstract

Loss of finger control complexity and intrusion of flexor biases are dissociable in finger individuation impairment after stroke

Xu,

Ma,

Kumar

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

The ability to control each finger independently is an essential component of human hand dexterity. A common observation of hand function impairment after stroke is the loss of this finger individuation ability, often referred to as enslavement, i.e., the unwanted coactivation of non-intended fingers in individuated finger movements. In the previous literature, this impairment has been attributed to several factors, such as the loss of corticospinal drive, an intrusion of flexor synergy due to upregulations of the subcortical pathways, and/or biomechanical constraints. These factors may or may not be mutually exclusive and are often difficult to tease apart. It has also been suggested, based on a prevailing impression, that the intrusion of flexor synergy appears to be an exaggerated pattern of the involuntary coactivations of task-irrelevant fingers seen in a healthy hand, often referred to as a flexor bias. Most previous studies, however, were based on assessments of enslavement in a single dimension (i.e., finger flexion/extension) that coincide with the flexor bias, making it difficult to tease apart the other aforementioned factors. Here, we set out to closely examine the nature of individuated finger control and finger coactivation patterns in all dimensions. Using a novel measurement device and a 3D finger-individuation paradigm, we aim to tease apart the contributions of lower biomechanical, subcortical constraints, and top-down cortical control to these patterns in both healthy and stroke hands. For the first time, we assessed all five fingers’ full capacity for individuation. Our results show that these patterns in the healthy and paretic hands present distinctly different shapes and magnitudes that are not influenced by biomechanical constraints. Those in the healthy hand presented larger angular distances that were dependent on top-down task goals, whereas those in the paretic hand presented larger Euclidean distances that arise from two dissociable factors: a loss of complexity in finger control and the dominance of an intrusion of flexor bias. These results suggest that finger individuation impairment after stroke is due to two dissociable factors: the loss of finger control complexity present in the healthy hand reflecting a top-down neural control strategy and an intrusion of flexor bias likely due to an upregulation of subcortical pathways. Our device and paradigm are demonstrated to be a promising tool to assess all aspects of the dexterous capacity of the hand.

show abstract

Novel Planar Strain Sensor Design for Capturing 3-Dimensional Fingertip Forces from Patients Affected by Hand Paralysis

Cited by 4 publications

References 32 publications

A three-dimensional fiber Bragg grating wrist force sensor with separation elastic structure

A three-dimensional fiber Bragg grating wrist force sensor with separation elastic structure

Loss of finger control complexity and intrusion of flexor biases are dissociable in finger individuation impairment after stroke

Loss of finger control complexity and intrusion of flexor biases are dissociable in finger individuation impairment after stroke

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