Quantitative measurement of upper limb motion pre- and post-treatment with Botulinum Toxin

Bai, Lu; Pepper, Matthew G.; Yan, Yong; Phillips, Malcolm; Sakel, Mohamed

doi:10.1016/j.measurement.2020.108304

Cited by 12 publications

(37 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Koh et al [ 13 ] presented an approach based on stepwise regression to investigate the recovery progress of voluntary movement. Bai et al [ 14 ] proposed a system of assessing the upper-limb voluntary motion before and after botulinum toxin treatment, which is a common treatment for spasticity. Chen et al [ 15 ] used data on voluntary movements to assess spasticity at the elbow.…”

Section: Introductionmentioning

confidence: 99%

Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke

Lin

Lee

Hsiao

et al. 2022

Sensors

View full text Add to dashboard Cite

A novel wearable multi-sensor data glove system is developed to explore the relation between finger spasticity and voluntary movement in patients with stroke. Many stroke patients suffer from finger spasticity, which is detrimental to their manual dexterity. Diagnosing and assessing the degrees of spasticity require neurological testing performed by trained professionals to estimate finger spasticity scores via the modified Ashworth scale (MAS). The proposed system offers an objective, quantitative solution to assess the finger spasticity of patients with stroke and complements the manual neurological test. In this work, the hardware and software components of this system are described. By requiring patients to perform five designated tasks, biomechanical measurements including linear and angular speed, acceleration, and pressure at every finger joint and upper limb are recorded, making up more than 1000 features for each task. We conducted a preliminary clinical test with 14 subjects using this system. Statistical analysis is performed on the acquired measurements to identify a small subset of features that are most likely to discriminate a healthy patient from patients suffering from finger spasticity. This encouraging result validates the feasibility of this proposed system to quantitatively and objectively assess finger spasticity.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke

Lin

Lee

Hsiao

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The links (joints of the upper limb) between the rigid bodies (upper limb segments) are rigid links and the whole upper limb can be seen as a kinematic chain. The model will now be developed L. Bai and some of the assumptions introduced, firstly in for 2D and then for 3D movement [4].…”

Section: V2 Kinematic Modelmentioning

confidence: 99%

“…With the recent development of the sensing technology, Micro-electromechanical systems (MEMS) based inertial sensors have been used in many different domains including pedestrian navigation [1], [2], location based services [3] and digital health [4], [5], sports analytics [6], [7]. and human activity recognition [8], [9].…”

Section: Introductionmentioning

confidence: 99%

3D Orientation Estimation Using Inertial Sensors

Bai

2022

JET

Self Cite

View full text Add to dashboard Cite

Recently, inertial sensors have been widely used in the measurement of 3D orientations because of their small size and relative low cost. One of the useful applications in the area of Neurorehabilitation is to assess the upper limb motion for patients who are under neurorehabilitation. In this paper, the computation of the 3D orientation is discussed utilising the outputs from accelerometers, gyroscopes and magnetometers. Different 3D orientation representations are discussed to give recommendations for different use scenarios. Based on the results form the 3D orientation, 2D and 3D position tracking techniques are also calculated by considering the joint links and kinematics constraints from the upper limb segments. The results showed that the performance using complementary filter can make good estimation of the orientation.

show abstract

“…Application of inertial sensors shows some good correlation to clinical scales and also is able to provide additional insights during rehabilitation [15]. Also low cost sensors e.g.…”

Section: Introductionmentioning

confidence: 99%

Time-Frequency Analysis of Upper Limb Motion Based on Inertial Sensors

Bai

2021

2021 32nd Irish Signals and Systems Conference (ISSC)

Self Cite

View full text Add to dashboard Cite

In recent years, inertial sensors have been broadly used in 3D human motion monitoring as an affordable solution. The time domain parameters e.g. kinematic parameters and kinetic parameters have already been widely studied. 3D orientation and position measurement are the most common used kinematic measurements for motion monitoring. This paper focuses on the frequency domain analysis and timefrequency analysis by using inertial sensing sensors. The inertial sensor was first validated for its ability in frequency detection by using a vibration generator. Then experimental tests were conducted on a healthy volunteer for a range of upper limb motion tests including Nine-hole peg test (NHPT) and drawing test. The results showed that additional information can be provided by using the time-frequency analysis, which can potentially provide insights on human upper limb movement.

show abstract

Quantitative measurement of upper limb motion pre- and post-treatment with Botulinum Toxin

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 12 publications

References 38 publications

Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke

Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke

3D Orientation Estimation Using Inertial Sensors

Time-Frequency Analysis of Upper Limb Motion Based on Inertial Sensors

Contact Info

Product

Resources

About