122 research outputs found
Preliminary evaluation of SensHand V1 in assessing motor skills performance in Parkinson Disease
Nowadays, the increasing old population 65+ as well as the pace imposed by work activities lead to a high number of people that have particular injuries for limbs. In addition to persistent or temporary disabilities related to accidental injuries we must take into account that part of the population suffers from motor deficits of the hands due to stroke or diseases of various clinical nature. The most recurrent technological solutions to measure the rehabilitation or skill motor performance of the hand are glove-based devices, able to faithfully capture the movements of the hand and fingers. This paper presents a system for hand motion analysis based on 9-axis complete inertial modules and dedicated microcontroller which are fixed on fingers and forearm. The technological solution presented is able to track the patients' hand motions in real-time and then to send data through wireless communication reducing the clutter and the disadvantages of a glove equipped with sensors through a different technological structure. The device proposed has been tested in the study of Parkinson's disease
Using wearable sensor systems for objective assessment of parkinson's disease
This paper presents a novel wearable sensor system based on the integration of miniaturised IMUs for fine hand movement analysis. The system, named SensHand V1, is composed of full 9-axis inertial sensors, placed on the fingers and wrist, which are managed by a cortex-M3 microcontroller. The acquired data are sent to a data logger through the use of Bluetooth communication. In this paper, the system is used for the objective diagnosis of Parkinson's disease, which is commonly assessed by neurologists through visual examination of motor tasks and semi-quantitative rating scales. Here, these motor tasks are also assessed using the SensHand V1, and then compared with the subjective metrics. Results demonstrate that the system is adequate to support neurologists in diagnostic procedures and allows for an objective evaluation of the disease
Empowering patients in self-management of parkinson's disease through cooperative ICT systems
The objective of this chapter is to demonstrate the technical feasibility and medical effectiveness of personalised services and care programmes for Parkinson's disease, based on the combination of mHealth applications, cooperative ICTs, cloud technologies and wearable integrated devices, which empower patients to manage their health and disease in cooperation with their formal and informal caregivers, and with professional medical staff across different care settings, such as hospital and home. The presented service revolves around the use of two wearable inertial sensors, i.e. SensFoot and SensHand, for measuring foot and hand performance in the MDS-UPDRS III motor exercises. The devices were tested in medical settings with eight patients, eight hyposmic subjects and eight healthy controls, and the results demonstrated that this approach allows quantitative metrics for objective evaluation to be measured, in order to identify pre-motor/pre-clinical diagnosis and to provide a complete service of tele-health with remote control provided by cloud technologies. ยฉ 2016, IGI Global. All rights reserved
Music normalizes visual and proprioceptive control of movement in Parkinson's disease
xiv, 147 leaves : ill. ; 29 cm. --The sensory control of movements has been shown to be impaired with Parkinsonโs disease. I investigated the task, reach-to-eat, in which advancing of the limb towards a target is guided by vision and withdrawal of the grasped target to the mouth is guided by somatosensation (i.e., haptics and proprioception). Parkinsonโs diseased subjects display an alteration in the balance of visual and proprioceptive guidance, such that they display increased visual fixation on the target prior to movement onset that persists following the grasp. Music therapy can normalize the balance between visual and proprioceptive guidance on the reach-to-eat task, as visual fixation with the target prior to movement onset is consistent with controls, and disengagement following grasp no longer differs from mild Parkinsonโs disease subjects. These results are the first to demonstrate that music can have an ameliorating effect on the sensory impairments seen in the control of forelimb movements in Parkinsonโs disease
Technological advances in deep brain stimulation:Towards an adaptive therapy
Parkinson's disease (PD) is neurodegenerative movement disorder and a treatment method called deep brain stimulation (DBS) may considerably reduce the patientโs motor symptoms. The clinical procedure involves the implantation of a DBS lead, consisting of multiple electrode contacts, through which continuous high frequency (around 130 Hz) electric pulses are delivered in the brain. In this thesis, I presented the research which had the goal to improve current DBS technology, focusing on bringing the conventional DBS system a step closer to adaptive DBS, a personalized DBS therapy. The chapters in this thesis can be seen as individual building blocks for such an adaptive DBS system. After the general introduction, the first two chapters, two novel DBS lead designs are studied in a computational model. The model showed that both studied leads were able to exploit the novel distribution of the electrode contacts to shape and steer the stimulation field to activate more neurons in the chosen target compared to the conventional lead, and to counteract lead displacement. In the fourth chapter, an inverse current source density (CSD) method is applied on local field potentials (LFP) measured in a rat model. The pattern of CSD sources can act as a landmark within the STN to locate the potential stimulation target. The fifth and final chapter described the last building block of the DBS system. We introduced an inertial sensors and force sensor based measurement system, which can record hand kinematics and joint stiffness of PD patients. A system which can act as a feedback signal in an adaptive DBS system
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ๆฉๅคงๅญฆไฝ่จ็ชๅท:ๆฐ7951ๆฉ็จฒ็ฐๅคง
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Tremor Control Devices for Essential Tremor: A Systematic Literature Review
Background: There is a growing interest in nonpharmacological approaches for essential tremor (ET), including tremor cancelation devices. However, the true efficacy of such devices in ET remains unclear.
Methods: A systematic literature review was conducted using standardized criteria regarding efficacy and comfortability. Devices focused on design or experimental testing in which tremor was simulated in a robot were excluded.
Results: Out of 324 articles initially identified, 12 articles were included. Orthoses using biomechanical loading and neuromodulation with electrical stimulation, and external tremor cancelation devices, were the main interventions used to suppress tremor. All devices were designed to control tremor of the upper limbs at different anatomical locations. Overall, an average tremor attenuation of 50โ98% was reported (level of evidence III). Interference with voluntary movements and portability was described as the main drawback.
Discussion: In conclusion, this review highlights the growing interest in emerging tremor control devices and the importance of assessing comfort without affecting voluntary movements. However, the level of evidence regarding the efficacy of these tremor control devices remains low. An integrated multidisciplinary combination approach of engineering, robotics, physiology, physiotherapy, and clinical assessment is needed to improve the quality of non-pharmacological interventions for ET
Development and degeneration of the sensory control of reach-to-eat behaviour
xiv, 286 leaves : ill. ; 29 cmThe reach-to-eat movement, in which a hand is advanced towards a food item, shapes to grasp the food item, and withdrawals to place the food item into the mouth for eating, is a behaviour that is performed daily. The movement is controlled by two sensory systems, vision to guide hand advance and grasping, and somatosensation to guide hand withdrawal and mouth placement. The purpose of the present thesis was to examine how the sensory control of reaching-to-eat develops in infancy and degenerates following neurodegenerative disorder. The tight coupling of vision to hand advance and somatosensation to hand withdrawal has a developmental profile from six months to one year of age. That is, six-month-old infants rely on vision to advance their hand, grasp the target, and withdrawal the target to the mouth. By twelve months of age, infants display the adult pattern of coupling vision to hand advance and grasping. The tight coupling of vision to hand advance degenerates with basal ganglia disease, such that subjects with Parkinsonโs disease and Huntingtonโs disease show an overreliance on vision to guide hand advance for grasping and hand withdrawal for mouth placement. The results of the thesis demonstrate that efficient use of sensory control to guide motor behaviour is an important aspect of development that is disrupted by neurodegenerative disease
๋ค์ค์๊ฐ๋ฝ ๊ณผ์ ์ํ ์ ์ธ๊ฐ์ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ ๊ณผ์ ์ ์ ๋ํ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ) -- ์์ธ๋ํ๊ต ๋ํ์ : ์ฌ๋ฒ๋ํ ์ฒด์ก๊ต์ก๊ณผ, 2021. 2. ๋ฐ์ฌ๋ฒ.The continuously varied states of human body and surrounding environment require instantaneous motor adaptations and the understanding of motor goal to achieve desired actions. These sensory and cognitive processes have been investigated as elements in motor control during last five decades. Specially, the task dependency on sensory and cognitive processes suggest the effects of movement properties in terms of environment situation and motor goal. However, these effects were mostly empirically summarized with the measurements of either neural activity or simple motor accomplishment unilaterally. The current thesis addresses the quantification of sensory and cognitive processes based on simultaneous measurements of brain activity and synergic motor performance during multi-digit actions with different movement properties. Multi-digit action as a representation of synergic movements has developed into a widespread agency to quantify the efficacy of motor control, as the reason applied in this thesis.
In this thesis, multi-digit rotation and pressing tasks were performed with different movement directions, frequencies, feedback modalities, or task complexities. (Chapter 3) The changes of movement direction induced a decrease in motor synergy but regardless of which direction. (Chapter 4 and 5) Increased frequency of rhythmic movement reduced synergic motor performance associate with decreased sensory process and less efficient cognitive process. (Chapter 6) More comprehensive feedback modality improved synergic performance with increased sensory process. (Chapter 7) Increased movement complexity had a consistent but stronger effect as increased frequency on synergic performance and efficiency of cognitive process. These observations suggest that several movement properties affect the contributions of sensory and cognitive processes to motor control which can be quantified through either neural activity or synergic motor performance. Accordingly, those movement properties may be applied in the rehabilitation of motor dysfunction by developing new training programs or assistant devices. Additionally, it may be possible to develop a simplified while efficient method to estimate the contribution of sensory or cognitive process to motor control.์์๊ฐ๊ฐ์ผ๋ก ๋ณํํ๋ ์ ์ฒด ์ํ์ ์ฃผ๋ณ ํ๊ฒฝ์ ์ํธ์์ฉ ์์์ ์๋ง์ ์์ง์์ ์ํํ๊ธฐ ์ํด์๋ ๊ทธ์ ๋ฐ๋ฅธ ์ฆ๊ฐ์ ์ธ ์ด๋ ์ ์(motor adaptation) ๊ณผ์ ์ ๊ณผ์ ๋ชฉํ์ ๋ํ ์ดํด๊ฐ ํ์ํ๋ค. ์ด๋ฅผ ์ํด ์ธ๊ฐ์ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ์ด๋ ์ ์ด ๋ถ์ผ์ ์ค์ํ ์์๋ก ์ฌ๊ฒจ์ก๋ค. ์ ํ์ฐ๊ตฌ์ ๋ฐ๋ฅด๋ฉด, ์ด๋ ๊ณผ์ ์ ๋ฐ๋ผ ๋ณํํ๋ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ์ฃผ๋ณ ํ๊ฒฝ๊ณผ ๊ณผ์ ์ ๋ชฉํ์ ๋ฐ๋ผ ์์ง์์ ํน์ฑ์ ์ํฅ์ ๋ฏธ์น๋ค๊ณ ๋ณด๊ณ ๋์ด์๋ค. ๊ทธ๋ฌ๋ ์ด๋ฌํ ์ํฅ์ ๋๋ถ๋ถ ๋จ์ํ ์ด๋๊ณผ์ ์ํ ๊ฒฐ๊ณผ ๋๋ ์ธก์ ๋ ์ ๊ฒฝ ํ๋์ ์ํด ๊ฒฝํ์ ์ผ๋ก ์์ฝ๋ ๊ฒฐ๊ณผ์ ๊ตญํ๋์ด ์๋ค. ๋ฐ๋ผ์ ๋ณธ ๋
ผ๋ฌธ์ ๋ค์ํ ์์ง์ ํน์ฑ์ ๊ฐ์ง ๋ค์ค ์๊ฐ๋ฝ ๊ณผ์ ์ํ ์, ๋ ํ๋ (Brain activity)๊ณผ ๋๋ถ์ด ์๊ฐ๋ฝ๋ค ๊ฐ์ ํ์์ ์ธ ์์ง์์ ์ํ ๊ฒฐ๊ณผ๋ฅผ ๋์ ์ธก์ ํ์ฌ ๊ณผ์ ์ ํน์ฑ์ ๋ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ๋ณํ๋ฅผ ๋ถ์ํ๋ค. ๋ค์ค ์๊ฐ๋ฝ ๊ณผ์ ๋ ์ด๋ ์ ์ด์ ์ฑ๋ฅ ํจ์จ์ฑ์ ์ ๋ํํ๊ธฐ ์ํด ์ฌ์ฉ๋๋ ๋ํ์ ์ธ ๊ณผ์ ๋ค.
๋ณธ ๋
ผ๋ฌธ์์๋ ๋ค์ํ ์กฐ๊ฑด์ ์์ง์ ๋ฐฉํฅ, ์์ง์์ ์ฃผ๊ธฐ๋น๋, ๊ฐ๊ฐ ํผ๋๋ฐฑ ์์ ๋๋ ๊ณผ์ ๋์ด๋์ ๋ฐ๋ฅธ ๋ค์ค ์๊ฐ๋ฝ ํ์ ๋์ ๋ฐ ํ ์์ฑ ๊ณผ์ ๋ฅผ ์ฌ์ฉํ๋ค. ์ฐ๊ตฌ ๊ฒฐ๊ณผ๋ก๋, (๋ฌธ๋จ 3) ์์ง์ ๋ฐฉํฅ์ด ๋ณํํ๊ธฐ ์ ์ ๋ณํํ ๋ฐฉํฅ์ ์๊ด์์ด ํ์์ ์ธ ์์ง์์ด ์
ํ๋์๋ค. (๋ฌธ๋จ 4์ 5) ์์ง์์ ์ฃผ๊ธฐ๋น๋๊ฐ ์ฆ๊ฐํ ์๋ก ํ์์ ์ธ ์์ง์์ด ์
ํ๋์ผ๋ฉฐ, ์ด์ ๊ด๋ จ๋ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ํจ์จ์ฑ๋ ๊ฐ์๋์๋ค. (๋ฌธ๋จ 6) ๋จ์ผ ๊ฐ๊ฐ ํผ๋๋ฐฑ ์ ๊ณต์กฐ๊ฑด์ ๋นํด ์ข
ํฉ์ ์ธ ๊ฐ๊ฐ ํผ๋๋ฐฑ์ ์ฆ๊ฐ๋ ๊ฐ๊ฐ ์ฒ๋ฆฌ๊ณผ์ ๊ณผ ํจ๊ป ํ์์ ์ธ ์์ง์์ ํฅ์์์ผฐ๋ค. (๋ฌธ๋จ 7) ๊ณผ์ ์ ๋์ด๋๊ฐ ์ฆ๊ฐํ ์๋ก ํ์์ ์ธ ์์ง์๊ณผ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ํจ์จ์ฑ์ ๊ฐ์๋์์ผ๋ฉฐ, ์์ง์์ ์ฃผ๊ธฐ๋น๋ ์กฐ๊ฑด์ ๋นํด ๊ณผ์ ์ ๋์ด๋์ ๋ฐ๋ผ ํ์์ ์ธ ์์ง์๊ณผ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ๋ฏธ์น๋ ์ํฅ์ ์๋์ ์ผ๋ก ๋ ํฌ๊ฒ ๋ํ๋ฌ๋ค. ์ด๋ฌํ ๊ฒฐ๊ณผ๋ ์์ง์ ํน์ฑ์ ๋ฐ๋ฅธ ๋ ํ๋๊ณผ ํ์์ ์ธ ๊ณผ์ ์ํด ๊ฒฐ๊ณผ๋ฅผ ํตํด ์ด๋ ์ ์ด ๊ณผ์ ์์ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ๊ณผ์ ์ ๊ธฐ์ฌ์ ๋๋ฅผ ์ ๋ํํ ์ ์๋ค๋ ์ ์ ์์ฌํ๋ค. ๋ฐ๋ผ์ ์์ง์ ํน์ฑ์ ๋ฐ๋ฅธ ๊ฐ๊ฐ ๋ฐ ์ธ์ง ์ฒ๋ฆฌ ๊ณผ์ ์ ๊ธฐ์ฌ์ ๋์ ๋ณํ๋ ์ด๋ ๊ธฐ๋ฅ ์ฅ์ ๋ฅผ ๊ฐ์ง ์ฌ๋๋ค์ ์๋ก์ด ์ฌํ ํ๋ จ ํ๋ก๊ทธ๋จ ๋ฐ ์์ง์ ๋ณด์กฐ ์ฅ์น๋ฅผ ๊ฐ๋ฐํ๊ธฐ ์ํ ์คํ์ ์ธ ๊ทผ๊ฑฐ๋ก ์ ์ฉ๋ ์ ์๋ค. ๋ํ ๊ฐ๊ฐ ๋๋ ์ธ์ง ๊ณผ์ ์ด ์ด๋ ์ ์ด์ ๋ฏธ์น๋ ์ํฅ์ ์ถ์ ํ๊ธฐ ์ํ ํจ์จ์ ์ธ ๋ฐฉ๋ฒ์ ๊ฐ๋ฐํ๋๋ฐ ๋์์ด ๋ ๊ฒ์ด๋ค.Chapter 1. Introduction 1
1.1 Problem statement 1
1.2 Study objective 2
1.3 Organization of dissertation 3
Chapter 2. Background 6
2.1 Motor system 6
2.1.1 Ascending pathway 6
2.1.2 Descending pathway 8
2.1.3 Brain networks 9
2.2 Motor synergy 11
2.2.1 Synergy in performance 12
2.2.2 Synergy in muscles 13
2.2.3 Synergy in neurons 14
2.3 Motor control 15
2.1.1 Sensory process 16
2.1.2 Cognitive process 19
Chapter 3. Effect of movement direction: Multi-Finger Interaction and Synergies in Finger Flexion and Extension Force Production 23
3.1 Abstract 23
3.2 Introduction 24
3.3 Method 28
3.4 Results 35
3.4.1 Maximal voluntary contraction (MVC) force and finger independency 36
3.4.2 Timing indices 37
3.4.3 Multi-finger synergy indices in mode space 39
3.4.4 Multi-finger synergy indices in force space 43
3.5 Discussion 44
3.5.1 Finger independency during finger flexion and extension 44
3.5.2 Multi-finger synergies in force and mode spaces 46
3.5.3 Anticipatory synergy adjustment 48
Chapter 4. Effect of Frequency: Brain Oxygenation Magnitude and Mechanical Outcomes during Multi-Digit Rhythmic Rotation Task 51
4.1 Abstract 51
4.2 Introduction 51
4.3 Methods 55
4.4 Results 61
4.4.1 PET imaging 61
4.4.2 Finger forces 62
4.4.3 UCM analysis 64
4.4.4 Correlation between neural activation and mechanics 65
4.5 Discussion 66
4.5.1 Regions involved in feedback 67
4.5.2 Regions involved in feedforward 69
4.5.3 Corporation of feedforward and feedback 71
4.6 Conclusions 72
Chapter 5. Effect of frequency: Prefrontal Cortex Oxygenation during Multi-Digit Rhythmic Pressing Actions using fNIRS 74
5.1 Abstract 74
5.2 Introduction 74
5.3 Method 77
5.4 Results 84
5.4.1 Performance 84
5.4.2 Multi-digit coordination indices 84
5.4.3 Functional connectivity (FC) 87
5.5 Discussion 88
5.6 Conclusion 91
Chapter 6. Effect of Sensory Modality: Multi-Sensory Integration during Multi-Digit Rotation Task with Different Frequency 92
6.1 Abstract 92
6.2 Introduction 92
6.3 Method 94
6.4 Results 100
6.4.1 Performance 100
6.4.2 Multi-digit coordination indices 101
6.5 Discussion 101
6.6 Conclusion 103
Chapter 7. Effect of Task Complexity: Prefrontal Cortex Oxygenation during Multi-Digit Pressing Actions with Different Frequency Components 104
7.1 Abstract 104
7.2 Introduction 104
7.3 Method 106
7.4 Results 112
7.4.1 Performance 112
7.4.2 Multi-finger coordination indices 113
7.4.3 Functional connectivity (FC) 114
7.5 Discussion 115
7.5.1 Relation between Frequency and task complexity 115
7.5.2 Cognitive process in motor control 116
7.5.3 Relation between motor coordination and cognitive process 118
7.6 Conclusion 119
Chapter 8. Conclusions and Future Work 120
8.1 Summary of conclusions 120
8.2 Future work 121
Bibliography 122
Abstract in Korean 160Docto
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