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Related papers: Upper extremity kinematics: Development of a quant…

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Upper extremity motor impairment affects about 80\% of persons after strokes. For stroke rehabilitation, upper limb kinematic assessments have increasingly been used as primary or secondary outcome measures. Studying the upper extremity…

Quantitative Methods · Quantitative Biology 2023-05-18 Khadija F. Zaidi , Michelle Harris-Love

Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional…

Signal Processing · Electrical Eng. & Systems 2023-01-02 Asma Bensalah , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós

Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The physical severity of PD impairments can be quantified…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Mandy Lu , Kathleen Poston , Adolf Pfefferbaum , Edith V. Sullivan , Li Fei-Fei , Kilian M. Pohl , Juan Carlos Niebles , Ehsan Adeli

Traditional approaches to measurement in upper-limb therapy have gaps that electronic sensing and recording can help fill. We highlight shortcomings in current kinematic recording devices, and we introduce a wrist sensing device that…

Robotics · Computer Science 2024-11-20 Jacob Carducci , Jeremy D. Brown

Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels. However, traditional stroke rehabilitation assessment methods (such as the popular clinical assessment) can be subjective…

Signal Processing · Electrical Eng. & Systems 2022-12-27 Xi Chen , Yu Guan , Jian Qing Shi , Xiu-Li Du , Janet Eyre

Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke. The objective of this paper is to determine whether the accelerometry-derived measurements frequently used in more…

Machine Learning · Computer Science 2023-11-09 Mackenzie Wallich , Kenneth Lai , Svetlana Yanushkevich

Due to hemiparesis, stroke survivors frequently develop a dysfunctional gait that is often characterized by an overall decrease in walking speed and a unilateral decrease in step length. With millions currently affected by this…

Robotics · Computer Science 2025-12-04 Vaughn Chambers , Panagiotis Artemiadis

Stroke patients with upper limb motor impairments are re-acclimated to their corresponding motor functionalities through therapeutic interventions. Physiotherapists typically assess these functionalities using various qualitative protocols.…

Human-Computer Interaction · Computer Science 2024-10-07 Mohammad Ridwan Kabir , Mohammad Ishrak Abedin , Mohaimin Ehsan , Mohammad Anas Jawad , Hasan Mahmud , Md. Kamrul Hasan

Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by engaging endogenous neuroplasticity. In preclinical models of stroke, high doses of rehabilitation training are required to restore functional…

Signal Processing · Electrical Eng. & Systems 2020-06-22 Aakash Kaku , Avinash Parnandi , Anita Venkatesan , Natasha Pandit , Heidi Schambra , Carlos Fernandez-Granda

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), cause progressive muscular degeneration and loss of motor function for 1 in 6,000 children. Traditional upper limb motor function…

Neurological disorders, including stroke, spinal cord injuries, multiple sclerosis, and Parkinson's disease, generally lead to diminished upper extremity (UE) function, impacting individuals' independence and quality of life. Traditional…

Signal Processing · Electrical Eng. & Systems 2024-08-02 Tommaso Proietti , Andrea Bandini

Stroke rehabilitation seeks to increase neuroplasticity through the repeated practice of functional motions, but may have minimal impact on recovery because of insufficient repetitions. The optimal training content and quantity are…

Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of…

Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions. Magnetic resonance imaging (MRI) is time demanding but can provide images that are considered gold…

Computer Vision and Pattern Recognition · Computer Science 2019-04-25 Albert Clèrigues , Sergi Valverde , Jose Bernal , Jordi Freixenet , Arnau Oliver , Xavier Lladó

Ankle proprioceptive deficits are common after stroke and occur independently of ankle motor impairments. Despite this independence, some studies have found that ankle proprioceptive deficits predict gait function, consistent with the…

Early identification of individuals at risk of stroke remains a major clinical challenge, as prodromal motor im- pairments are often subtle and transient. In this pilot study, a wearable sensor-based framework is proposed for early pre-…

Neurons and Cognition · Quantitative Biology 2026-03-18 Chanakan Chaipan , Aueaphum Aueawatthanaphisut

Patients who are undergoing physical rehabilitation, benefit from feedback that follows from reliable assessment of their cumulative performance attained at a given time. In this paper, we provide a method for the learning of the recovery…

Machine Learning · Statistics 2024-10-30 Chuqiao Zhang , Crina Grosan , Dalia Chakrabarty

Stroke is the second leading cause of disability worldwide. In order to minimize disability, the goal of stroke treatment is to preserve tissue in the area where blood supply is decreased but sufficient to stave off cell death. Thrombectomy…

Rehabilitation training is the primary intervention to improve motor recovery after stroke, but a tool to measure functional training does not currently exist. To bridge this gap, we previously developed an approach to classify functional…

Machine Learning · Computer Science 2021-12-24 Avinash Parnandi , Jasim Uddin , Dawn M. Nilsen , Heidi Schambra

Background: Coordinated control of eye and hand movements is critical for nearly all goal-directed actions, underpinning tasks ranging from simple object manipulation to complex tool use. This coordination relies on temporal coupling…

Neurons and Cognition · Quantitative Biology 2025-10-06 Mahya Beheshti , Todd E Hudson , Rajvardhan Gadde , Glenn Alvarez Arias , Karis Huh , Robert L Sainburg , JR Rizzo
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