Smart Sensing and Biofeedback for Vertical Jump in Sports

Senanayake, S. M. N. Arosha; Naim, Abdul Ghani

doi:10.1007/978-3-319-99540-3_5

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…To classify the individual who has ID, it is common to use the Intelligence Quotient Test, or I.Q. In addition to analyzing data (body temperature, body motion, sweat, heart, and respiratory rate, besides temperature and illuminatiom from the environment) [8], mobile applications for neuromuscular and neurocognitive tests to evaluated the risk of lesion [9], and vertical jump analysis with smart watches, cameras, and EMG to avoid injury risk [10]. IoT systems to aid in coaching is a field that are starting to be explored and still has fewer applications.…”

Section: Diagnostic and Statistical Manual Of Mental Disordersmentioning

confidence: 99%

Sensing Devices to Aid Coaches and Sports Training of People with Motor and Intellectual Limitations

Vacilotto¹,

Peixoto²,

Eloy³

et al. 2018

Arch Sports Med

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These sensing technologies impact the sports equipament development, improving practices and performance of athletes [7], which benefit with IoT. For starters, IoT for sports applications is related to data acquisition process, performance and movement tracking of athlets, and in coaching techniques. One factor that justifies the adoption of this method is paid attention to the health of an athlete, e. g., application to monitor the risk of injuries among soccer players, using sensors to aquire different types of

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Section: Diagnostic and Statistical Manual Of Mental Disordersmentioning

confidence: 99%

Sensing Devices to Aid Coaches and Sports Training of People with Motor and Intellectual Limitations

Vacilotto¹,

Peixoto²,

Eloy³

et al. 2018

Arch Sports Med

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show abstract

“…These devices can be used for wrist rehabilitation (Zhang et al, 2020;Moshaii et al, 2019;Ben Aabdallah et al, 2016) for elbow rehabilitation (Koh et al, 2017;Liu et al, 2018) and for shoulder rehabilitation (Kim et al, 2019;Takasaki et al, 2018). Also, some complex systems have been developed to cover all upper limb joints (Balasubramanian and He, 2012;Díez et al, 2016;Bouteraa and Abdallah, 2016;Senanayake and Naim, 2019;Bouteraa et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In this kind of control, participants can control their movements and the role of the robotic device is only compensating their weaknesses. EMG signals have a wide range of applications such as diagnostics (Faust et al, 2018), assistive technology (Dhanjal and Singh, 2019), human machine interaction (Bouteraa and Abdallah, 2017), sports (Senanayake and Naim, 2019) and rehabilitation (Bouteraa et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Design and control of an exoskeleton robot with EMG-driven electrical stimulation for upper limb rehabilitation

Bouteraa

Abdallah

Elmogy

2020

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Purpose The purpose of this paper is to design and develop a new robotic device for the rehabilitation of the upper limbs. The authors are focusing on a new symmetrical robot which can be used to rehabilitate the right upper limb and the left upper limb. The robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The main idea is to integrate electrical stimulation into motor rehabilitation by robot. The goal is to provide automatic electrical stimulation based on muscle status during the rehabilitation process. Design/methodology/approach The developed robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The system merges two rehabilitation strategies: motor rehabilitation and electrical stimulation. The goal is to take the advantages of both approaches. Electrical stimulation is often used for building muscle through endurance, resistance and strength exercises. However, in the proposed approach the electrical stimulation is used for recovery, relaxation and pain relief. In addition, the device includes an electromyography (EMG) muscle sensor that records muscle activity in real time. The control architecture provides the ability to automatically activate the appropriate stimulation mode based on the acquired EMG signal. The system software provides two modes for stimulation activation: the manual preset mode and the EMG driven mode. The program ensures traceability and provides the ability to issue a patient status monitoring report. Findings The developed robotic device is symmetrical and reconfigurable. The presented rehabilitation system includes a muscle stimulator associated with the robot to improve the quality of the rehabilitation process. The integration of neuromuscular electrical stimulation into the physical rehabilitation process offers effective rehabilitation sessions for neuromuscular recovery of the upper limb. A laboratory-made stimulator is developed to generate three modes of stimulation: pain relief, massage and relaxation. Through the control software interface, the physiotherapist can set the exercise movement parameters, define the stimulation mode and record the patient training in real time. Research limitations/implications There are certain constraints when applying the proposed method, such as the sensitivity of the acquired EMG signals. This involves the use of professional equipment and mainly the implementation of sophisticated algorithms for signal extraction. Practical implications Functional electrical stimulation and robot-based motor rehabilitation are the most important technologies applied in post-stroke rehabilitation. The main objective of integrating robots into the rehabilitation process is to compensate for the functions lost in people with physical disabilities. The stimulation technique can be used for recovery, relaxation and drainage and pain relief. In this context, the idea is to integrate electrical stimulation into motor rehabilitation based on a robot to obtain the advantages of the two approaches to further improve the rehabilitation process. The introduction of this type of robot also makes it possible to develop new exciting assistance devices. Originality/value The proposed design is symmetrical, reconfigurable and light, covering all the joints of the upper limbs and their movements. In addition, the developed platform is inexpensive and a portable solution based on open source hardware platforms which opens the way to more extensions and developments. Electrical stimulation is often used to improve motor function and restore loss of function. However, the main objective behind the proposed stimulation in this paper is to recover after effort. The novelty of the proposed solution is to integrate the electrical stimulation powered by EMG in robotic rehabilitation.

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“…Sensory data are first collected, analyzed, and then fed back to the human sensor nervous system in a simple, direct and immediate way.Modern biofeedback experiments began in the early 70's of the last century [1-3], with a promising evidence observed on the efficacy of clinical biofeedback applications [4][5][6][7]. For past five decades, uses of biofeedback techniques have been widely seen in health, wellness, awareness, and computer interactive entertainment, including therapies of self regulation of psychiatric and physiologic disorders [8][9][10][11][12][13][14][15][16][17][18][19][20][21], rehabilitation [22][23][24][25][26][27][28], healthcare [29][30][31], training activities such as balancing [32,33], postural [34,35], relaxation [36] and sports [37,38], development of socio-emotional interactions [39,40], assessment of psychophysiological stress [41][42][43][44], falling prevention and detection [45], computer game design [46], and more.Smart biofeedback [47][48][49][50][51]…”

mentioning

confidence: 99%

“…Smart biofeedback [47][48][49][50][51][52] is receiving attentions because of the widespread, available building blocks of advanced technologies and smart devices that are used in effective collection, analysis and feedback of physiologic data. Researchers and practitioners have been working on various aspects of smart biofeedback methodologies and applications by using wireless communications [53,54], Internet of Things (IoT) [55,56], wearables [57,58], biomedical sensors [59][60][61], artificial intelligence [62], big data analytics [63], clinical virtual reality [64], smartphones [65,66], APPs [67], and so forth.…”

mentioning

confidence: 99%

Introductory Chapter: Smart Biofeedback – Perspectives and Applications

Liao¹

2020

Smart Biofeedback - Perspectives and Applications

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Smart Sensing and Biofeedback for Vertical Jump in Sports

Cited by 5 publications

References 15 publications

Sensing Devices to Aid Coaches and Sports Training of People with Motor and Intellectual Limitations

Sensing Devices to Aid Coaches and Sports Training of People with Motor and Intellectual Limitations

Design and control of an exoskeleton robot with EMG-driven electrical stimulation for upper limb rehabilitation

Introductory Chapter: Smart Biofeedback – Perspectives and Applications

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