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Dive into the research topics where Ryanne Lemmens is active.

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Featured researches published by Ryanne Lemmens.


BMC Neurology | 2012

Valid and reliable instruments for arm-hand assessment at ICF activity level in persons with hemiplegia: a systematic review

Ryanne Lemmens; Annick Timmermans; Yvonne Janssen-Potten; Rob Smeets; Henk A. M. Seelen

BackgroundLoss of arm-hand performance due to a hemiparesis as a result of stroke or cerebral palsy (CP), leads to large problems in daily life of these patients. Assessment of arm-hand performance is important in both clinical practice and research. To gain more insight in e.g. effectiveness of common therapies for different patient populations with similar clinical characteristics, consensus regarding the choice and use of outcome measures is paramount. To guide this choice, an overview of available instruments is necessary. The aim of this systematic review is to identify, evaluate and categorize instruments, reported to be valid and reliable, assessing arm-hand performance at the ICF activity level in patients with stroke or cerebral palsy.MethodsA systematic literature search was performed to identify articles containing instruments assessing arm-hand skilled performance in patients with stroke or cerebral palsy. Instruments were identified and divided into the categories capacity, perceived performance and actual performance. A second search was performed to obtain information on their content and psychometrics.ResultsRegarding capacity, perceived performance and actual performance, 18, 9 and 3 instruments were included respectively. Only 3 of all included instruments were used and tested in both patient populations. The content of the instruments differed widely regarding the ICF levels measured, assessment of the amount of use versus the quality of use, the inclusion of unimanual and/or bimanual tasks and the inclusion of basic and/or extended tasks.ConclusionsAlthough many instruments assess capacity and perceived performance, a dearth exists of instruments assessing actual performance. In addition, instruments appropriate for more than one patient population are sparse. For actual performance, new instruments have to be developed, with specific focus on the usability in different patient populations and the assessment of quality of use as well as amount of use. Also, consensus about the choice and use of instruments within and across populations is needed.


PLOS ONE | 2015

Recognizing Complex Upper Extremity Activities Using Body Worn Sensors

Ryanne Lemmens; Yvonne Janssen-Potten; Annick Timmermans; Rob Smeets; Henk A. M. Seelen

To evaluate arm-hand therapies for neurological patients it is important to be able to assess actual arm-hand performance objectively. Because instruments that measure the actual quality and quantity of specific activities in daily life are lacking, a new measure needs to be developed. The aims of this study are to a) elucidate the techniques used to identify upper extremity activities, b) provide a proof-of-principle of this method using a set of activities tested in a healthy adult and in a stroke patient, and c) provide an example of the method’s applicability in daily life based on readings taken from a healthy adult. Multiple devices, each of which contains a tri-axial accelerometer, a tri-axial gyroscope and a tri-axial magnetometer were attached to the dominant hand, wrist, upper arm and chest of 30 healthy participants and one stroke patient, who all performed the tasks ‘drinking’, ‘eating’ and ‘brushing hair’ in a standardized environment. To establish proof-of-principle, a prolonged daily life recording of 1 participant was used to identify the task ‘drinking’. The activities were identified using multi-array signal feature extraction and pattern recognition algorithms and 2D-convolution. The activities ‘drinking’, ‘eating’ and ‘brushing hair’ were unambiguously recognized in a sequence of recordings of multiple standardized daily activities in a healthy participant and in a stroke patient. It was also possible to identify a specific activity in a daily life recording. The long term aim is to use this method to a) identify arm-hand activities that someone performs during daily life, b) determine the quantity of activity execution, i.e. amount of use, and c) determine the quality of arm-hand skill performance.


PLOS ONE | 2014

Accelerometry Measuring the Outcome of Robot-Supported Upper Limb Training in Chronic Stroke: A Randomized Controlled Trial

Ryanne Lemmens; Annick Timmermans; Yvonne Janssen-Potten; Sanne A. N. T. D. Pulles; Richard Geers; Wilbert Bakx; Rob Smeets; Henk A. M. Seelen

Purpose This study aims to assess the extent to which accelerometers can be used to determine the effect of robot-supported task-oriented arm-hand training, relative to task-oriented arm-hand training alone, on the actual amount of arm-hand use of chronic stroke patients in their home situation. Methods This single-blind randomized controlled trial included 16 chronic stroke patients, randomly allocated using blocked randomization (n = 2) to receive task-oriented robot-supported arm-hand training or task-oriented (unsupported) arm-hand training. Training lasted 8 weeks, 4 times/week, 2×30 min/day using the (T-)TOAT ((Technology-supported)-Task-Oriented-Arm-Training) method. The actual amount of arm-hand use, was assessed at baseline, after 8 weeks training and 6 months after training cessation. Duration of use and intensity of use of the affected arm-hand during unimanual and bimanual activities were calculated. Results Duration and intensity of use of the affected arm-hand did not change significantly during and after training, with or without robot-support (i.e. duration of use of unimanual use of the affected arm-hand: median difference of −0.17% in the robot-group and −0.08% in the control group between baseline and after training cessation; intensity of the affected arm-hand: median difference of 3.95% in the robot-group and 3.32% in the control group between baseline and after training cessation). No significant between-group differences were found. Conclusions Accelerometer data did not show significant changes in actual amount of arm-hand use after task-oriented training, with or without robot-support. Next to the amount of use, discrimination between activities performed and information about quality of use of the affected arm-hand are essential to determine actual arm-hand performance. Trial Registration Controlled-trials.com ISRCTN82787126


BMC Neurology | 2014

Arm hand skilled performance in cerebral palsy: activity preferences and their movement components

Ryanne Lemmens; Yvonne Janssen-Potten; Annick Timmermans; Anke Defesche; Rob Smeets; Henk A. M. Seelen

BackgroundAssessment of arm-hand use is very important in children with cerebral palsy (CP) who encounter arm-hand problems. To determine validity and reliability of new instruments to assess actual performance, a set of standardized test situations including activities of daily living (ADL) is required. This study gives information with which such a set for upper extremity skill research may be fine-tuned, relative to a specific research question. Aim of this study is to a) identify upper extremity related ADL children with CP want to improve on, b) determine the 10 most preferred goals of children with CP, and c) identify movement components of all goals identified.MethodThe Canadian Occupational Performance Measure was used to identify upper extremity-related ADL preferences (goals) of 53 children with CP encountering arm-hand problems (mean age 9 ± 4.5 year). Goals were ranked based on importance attributed to each goal and the number of times a goal was mentioned, resulting in a gross list with goals. Additionally, two studies were performed, i.e. study A to determine the 10 most preferred goals for 3 age groups (2.5-5 years; 6-11 years, 12-19 years), based on the total preference score, and study B to identify movement components, like reaching and grasping, of all goals identified for both the leading and the assisting arm-hand.ResultsSeventy-two goals were identified. The 10 most preferred goals differed with age, changing from dressing and leisure-related goals in the youngest children to goals regarding personal care and eating for children aged 6-11 years. The oldest children preferred goals regarding eating, personal care and computer use. The movement components ‘positioning’, ‘reach’, ‘grasp’, and ‘hold’ were present in most tasks. ‘Manipulating’ was more important for the leading arm-hand, whereas ‘fixating’ was more important for the assisting arm-hand.ConclusionThis study gave insight into the preferences regarding ADL children with CP would like to improve on, and the movement components characterizing these activities. This information can be used to create a set of standardized test situations, which can be used to assess the validity and reliability of new measurement instruments to gauge actual arm-hand skilled performance.


international conference of the ieee engineering in medicine and biology society | 2011

A comparison of treatment effects after sensor- and robot-based task-oriented arm training in highly functional stroke patients

Annick Timmermans; Ryanne Lemmens; Richard Geers; Rob Smeets; Henk A. M. Seelen

A large number of rehabilitation technologies for stroke patients has been developed in the last decade. To date it is insufficiently clear what the strengths of these different technologies are in relation to certain patient characteristics, such as the level of muscle strength and/or functional ability. One of the reasons is that research protocols differ so much that comparison of treatment results is impossible. This paper compares, while using the same patient inclusion criteria and training protocol, the effectivity of a sensor-supported versus robot-supported task-oriented arm training for highly functional chronic stroke patients. It appeared that individual improvements over time and Hedgess g effect sizes were twice as large for the sensor-based training compared to the robot-supported training in stroke patients with high functional levels. New research is planned to compare both therapy approaches for stroke patients with low and average functional levels.


IEEE Transactions on Neural Systems and Rehabilitation Engineering | 2015

To What Extent Can Arm–Hand Skill Performance—of Both Healthy Adults and Children—Be Recorded Reliably Using Multiple Bodily Worn Sensor Devices?

Ryanne Lemmens; Henk A. M. Seelen; Annick Timmermans; Marlous Schnackers; Annet Eerden; Rob Smeets; Yvonne Janssen-Potten

Neurological patients often encounter arm-hand problems in daily life. Bodily worn sensors may be used to assess actual performance by quantifying specific movement patterns associated with specific activities. However, signal reliability during activities of daily living should be determined first. The aim is to determine to what extent standardized arm-hand skill performance of both healthy adults and healthy children can be recorded reliably using a combination of multiple sensor devices. Thirty adults and thirty-two children (aged between 6-18 years) performed the activities drinking, eating and combing five times in a standardized setting. Sensor devices, each containing a triaxial accelerometer, gyroscope and magnetometer were attached to the arms, hands and trunk of the participants. Within-subject and between-subject reliability of the signal patterns amongst skill repetitions was determined by calculating Intraclass Correlation Coefficients (ICCs). Median reliability was good to very good for all activities performed (both within and between subjects). Regarding within-subject reliability (instruction-condition), median ICCs ranged between 0.76-0.90 and 0.68-0.92 for the adults and children, respectively. For between-subject reliability (instruction-condition), median ICCs ranged 0.75-0.86 and 0.61-0.90 for the adults and children, respectively. It can be concluded that the above-mentioned sensor system can reliably record activities of daily living in a standardized setting.


Journal of Neuroengineering and Rehabilitation | 2014

Effects of task-oriented robot training on arm function, activity, and quality of life in chronic stroke patients: a randomized controlled trial

Annick Timmermans; Ryanne Lemmens; Maurice Monfrance; Richard Geers; Wilbert Bakx; Rob Smeets; Henk A. M. Seelen


international congress on neurotechnology, electronics and informatics | 2016

Activities of Daily Living in Healthy Adults and Children - Reliability of Registrations with Multiple Body Worn Sensors

Ryanne Lemmens; Henk A. M. Seelen; Yvonne Janssen-Potten; Annick Timmermans; Marlous Schnackers; Annet Eerden; Richard Geers; Rob Smeets


international congress on neurotechnology, electronics and informatics | 2016

Sensor-based Pattern Recognition Identifying Complex Upper Extremity Skills

Ryanne Lemmens; Yvonne Janssen-Potten; Annick Timmermans; Rob Smeets; Henk A. M. Seelen


Archive | 2015

Template-matching in the identification of arm-hand skill performance in healthy subjects and stroke patients

Ryanne Lemmens; Yvonne Janssen-Potten; Annick Timmermans; Rob Smeets; Henk Seelen

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Henk Seelen

Maastricht University Medical Centre

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