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The Simultaneous Model-Based Estimation of Joint, Muscle, and Tendon Stiffness is Highly Sensitive to the Tendon Force-Strain Relationship

Cop, Christopher P. (author), Jakubowski, Kristen L. (author), Schouten, A.C. (author), Koopman, Bart (author), Perreault, Eric J. (author), Sartori, Massimo (author)

Objective: Accurate estimation of stiffness across anatomical levels (i.e., joint, muscle, and tendon) in vivo has long been a challenge in biomechanics. Recent advances in electromyography (EMG)-driven musculoskeletal modeling have allowed the non-invasive estimation of stiffness during dynamic joint rotations. Nevertheless, validation has...

journal article 2024

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The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission

Schouten, Janno (author)

Patients who are admitted to the Intensive Care Unit (ICU) are extremely ill and at high risk of organ failure and death. Being admitted to the ICU is known to cause long lasting physical, cognitive, and physiological symptoms, which is called Post-Intensive Care syndrome (PICS). To provide better management of PICS, early recognition and...

master thesis 2023

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Addressing the inconsistent electric fields of tDCS by using patient-tailored configurations in chronic stroke: Implications for treatment

van der Cruijsen, J. (author), Dooren, R.F. (author), Schouten, A.C. (author), Oostendorp, Thom F. (author), Frens, Maarten A. (author), Ribbers, G.M. (author), van der Helm, F.C.T. (author), Kwakkel, Gert (author), Selles, R.W. (author)

Transcranial direct current stimulation (tDCS) is a promising tool to improve and speed up motor rehabilitation after stroke, but inconsistent clinical effects refrain tDCS from clinical implementation. Therefore, this study aimed to assess the need for individualized tDCS configurations in stroke, considering interindividual variability in...

journal article 2022

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Electromyography-driven model-based estimation of ankle torque and stiffness during dynamic joint rotations in perturbed and unperturbed conditions

Cop, Christopher P. (author), Schouten, A.C. (author), Koopman, Bart (author), Sartori, Massimo (author)

The simultaneous modulation of joint torque and stiffness enables humans to perform large repertoires of movements, while versatilely adapting to external mechanical demands. Multi-muscle force control is key for joint torque and stiffness modulation. However, the inability to directly measure muscle force in the intact moving human prevents...

journal article 2022

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Simulation of the interception of plastic fluxes in rivers

Schouten, David (author)

One of the preferred features of plastic is its high durability. This merit is its main disadvantage in the natural environment. When poorly disposed of, plastic waste can enter rivers from surface waters and subsequently end up in the ocean. Here, plastic spreads out over the entire ocean and ultimately ends in ocean gyres....

master thesis 2021

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Two-phase modelling for sediment water mixtures above the limit deposit velocity in horizontal pipelines

Schouten, T.D. (author), van Rhee, C. (author), Keetels, G.H. (author)

In dredging applications, deep sea mining and land reclamation projects typically large amounts of sediments are transported through pipes in the form of hyper concentrated (40% sediment or more) sediment-water mixtures or slurries. In this paper it is investigated how well a generic Euler-Euler CFD-model is capable to model velocity,...

journal article 2021

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Unifying system identification and biomechanical formulations for the estimation of muscle, tendon and joint stiffness during human movement

Cop, Christopher P. (author), Cavallo, Gaia (author), van'T Veld, Ronald C. (author), Koopman, Bart F.J.M. (author), Lataire, John (author), Schouten, A.C. (author), Sartori, Massimo (author)

In vivo joint stiffness estimation during time-varying conditions remains an open challenge. Multiple communities, e.g. system identification and biomechanics, have tackled the problem from different perspectives and using different methods, each of which entailing advantages and limitations, often complementary. System identification...

review 2021

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Combining ultrafast ultrasound and high-density EMG to assess local electromechanical muscle dynamics: a feasibility study

Waasdorp, R. (author), Mugge, W. (author), Vos, H.J. (author), De Groot, Jurriaan H. (author), Verweij, M.D. (author), de Jong, N. (author), Schouten, A.C. (author), Daeichin, V. (author)

Skeletal muscles generate force, enabling movement through a series of fast electro-mechanical activations coordinated by the central nervous system. Understanding the underlying mechanism of such fast muscle dynamics is essential in neuromuscular diagnostics, rehabilitation medicine and sports biomechanics. The unique combination of...

journal article 2021

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Neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates

van ’t Veld, Ronald C. (author), Schouten, A.C. (author), van der Kooij, H. (author), van Asseldonk, Edwin H.F. (author)

Background: People with brain or neural injuries, such as cerebral palsy or spinal cord injury, commonly have joint hyper-resistance. Diagnosis and treatment of joint hyper-resistance is challenging due to a mix of tonic and phasic contributions. The parallel-cascade (PC) system identification technique offers a potential solution to...

journal article 2021

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ASH: an Automatic pipeline to generate realistic and individualized chronic Stroke volume conduction Head models

Piastra, Maria Carla (author), van der Cruijsen, J. (author), Piai, Vitória (author), Jeukens, Floor E.M. (author), Manoochehri, M. (author), Schouten, A.C. (author), Selles, R.W. (author), Oostendorp, Thom (author)

Objective. Large structural brain changes, such as chronic stroke lesions, alter the current pathways throughout the patients' head and therefore have to be taken into account when performing transcranial direct current stimulation simulations. Approach. We implement, test and distribute the first MATLAB pipeline that automatically generates...

journal article 2021

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Postural control learning dynamics in Parkinson's disease: early improvement with plateau in stability, and continuous progression in flexibility and mobility

Rahmati, Zahra (author), Behzadipour, Saeed (author), Schouten, A.C. (author), Taghizadeh, Ghorban (author), Firoozbakhsh, Keikhosrow (author)

BACKGROUND: Balance training improves postural control in Parkinson's disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program, are poorly understood. OBJECTIVES: We investigated the learning...

journal article 2020

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Using scaffolding to formalize digital coach support for low-literate learners

Schouten, D.G.M. (author), Massink, Pim (author), Donker, Stella F. (author), Neerincx, M.A. (author)

In this study, we attempt to specify the cognitive support behavior of a previously designed embodied conversational agent coach that provides learning support to low-literates. Three knowledge gaps are identified in the existing work: an incomplete specification of the behaviors that make up ‘support,’ an incomplete specification of how this...

journal article 2020

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Editorial: Neuromechanics and control of physical behavior: From experimental and computational formulations to bio-inspired technologies

Sreenivasa, Manish (author), Valero-Cuevas, Francisco J. (author), Tresch, Matthew (author), Nakamura, Yoshihiko (author), Schouten, A.C. (author), Sartori, Massimo (author)

The motivation behind this research topic was to cut across conventional boundaries that separate movement neuroscience, biomechanics, and robotics. The aim was to underscore that brain and body collaborate to produce behavior in biological organisms. While this is a simple idea, compartmentalization in education and science has often...

contribution to periodical 2019

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Disentangling stability and flexibility degrees in Parkinson's disease using a computational postural control model

Rahmati, Zahra (author), Schouten, A.C. (author), Behzadipour, Saeed (author), Taghizadeh, Ghorban (author), Firoozbakhsh, Keikhosrow (author)

Background: Impaired postural control in Parkinson's disease (PD) seriously compromises life quality. Although balance training improves mobility and postural stability, lack of quantitative studies on the neurophysiological mechanisms of balance training in PD impedes the development of patient-specific therapies. We evaluated the effects of...

journal article 2019

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Modeling the nonlinear cortical response in EEG evoked by wrist joint manipulation

Vlaar, M.P. (author), Birpoutsoukis, Georgios (author), Lataire, John (author), Schouten, A.C. (author), Schoukens, Johan (author), van der Helm, F.C.T. (author)

Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, arrives in the cortex. The average evoked cortical response recorded using electroencephalography was shown to be highly nonlinear; a linear model can only explain 10% of the variance of the evoked response, and over 80% of the response is...

journal article 2018

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Evidence in support of the Independent Channel Model describing the sensorimotor control of human stance using a humanoid robot

Pasma, J.H. (author), Assländer, Lorenz (author), van Kordelaar, J. (author), de Kam, Digna (author), Mergner, Thomas (author), Schouten, A.C. (author)

The Independent Channel (IC) model is a commonly used linear balance control model in the frequency domain to analyze human balance control using system identification and parameter estimation. The IC model is a rudimentary and noise-free description of balance behavior in the frequency domain, where a stable model representation is not...

journal article 2018

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Tail dependence in financial data: Modelling dependence in dynamic factor models with copulas and extreme value theory

Schouten, Thijs (author)

In this thesis we model extreme log-returns on economic variables and apply this to Ortec Finance's model. These extreme log-returns are relevant for risk management applications such as Value-at-Risk and other measures of tail risk. We use extreme value theory to simulate economic variables with the desired tail behaviour. We pay special...

master thesis 2017

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A sensitivity analysis of an inverted pendulum balance control model

Pasma, J.H. (author), Boonstra, T.A. (author), van Kordelaar, J. (author), Spyropoulou, V. (author), Schouten, A.C. (author)

Balance control models are used to describe balance behavior in health and disease. We identified the unique contribution and relative importance of each parameter of a commonly used balance control model, the Independent Channel (IC) model, to identify which parameters are crucial to describe balance behavior. The balance behavior was expressed...

journal article 2017

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Characterizing human skin blood flow regulation in response to different local skin temperature perturbations

Wu, Y. (author), Nieuwenhoff, M.D. (author), Huygen, F.J.P.M. (author), van der Helm, F.C.T. (author), Niehof, S.P. (author), Schouten, A.C. (author)

Small nerve fibers regulate local skin blood flow in response to local thermal perturbations. Small nerve fiber function is difficult to assess with classical neurophysiological tests. In this study, a vasomotor response model in combination with a heating protocol was developed to quantitatively characterize the control mechanism of small...

journal article 2017

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Dynamic causal modeling of the cortical responses to wrist perturbations

Yang, Y. (author), Guliyev, Bekir (author), Schouten, A.C. (author)

Mechanical perturbations applied to the wrist joint typically evoke a stereotypical sequence of cortical and muscle responses. The early cortical responses (<100 ms) are thought be involved in the “rapid” transcortical reaction to the perturbation while the late cortical responses (>100 ms) are related to the “slow” transcortical reaction....

journal article 2017