Comparison of cardiac vagal activity between pre and postmenopausal women using heart rate recovery

Vijayalakshmi, IB; Subha, K.; Niruba, R

doi:10.5455/2349-3259.ijct20141104

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…For HR, the observations made went further and showed that this variable exhibited a considerable inertia when preceded by a higher level of physical activity, as can be seen in Figure 5 (i.e., delayed effect of task presentation order, see Table 1; more specifically, a continued effect of level 4 on level 2 can be seen). This delay in HR decrease during recovery from a higher level of physical effort is a well-known effect (Shetler et al, 2001;Vijayalakshmi et al, 2014). In healthy subjects, a decrease of 15-20 beats per minute in the first minute of recovery has been shown to be typical (Shetler et al, 2001).…”

Section: Open-loop Resultsmentioning

confidence: 97%

“…The differences in standard deviation between HAO and HDM for both dominance and valence can be neglected (i.e., 0.07 and 0.59, respectively). The combination of high dominance (i.e., feeling under control of the situation) and high valence (i.e., pleasure) while still being challenged is likely to influence motivation and, thus, to promote future practice and total duration of training, which, in turn, might influence the success of motor learning (Shetler et al, 2001;Guadagnoli and Lee, 2004;Vijayalakshmi et al, 2014).…”

Section: User Satisfactionmentioning

confidence: 99%

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Biomechatronics: Harmonizing Mechatronic Systems with Human Beings

Dubey¹,

Yu²,

Low³

2019

Frontiers Research Topics

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The provision of continuous passive, and intent-based assisted movements for neuromuscular training can be incorporated into a robotic elbow sleeve. The objective of this study is to propose the design and test the functionality of a soft robotic elbow sleeve in assisting flexion and extension of the elbow, both passively and using intent-based motion reinforcement. First, the elbow sleeve was developed, using elastomeric and fabric-based pneumatic actuators, which are soft and lightweight, in order to address issues of non-portability and poor alignment with joints that conventional robotic rehabilitation devices are faced with. Second, the control system was developed to allow for: (i) continuous passive actuation, in which the actuators will be activated in cycles, alternating between flexion and extension; and (ii) an intent-based actuation, in which user intent is detected by surface electromyography (sEMG) sensors attached to the biceps and triceps, and passed through a logic sequence to allow for flexion or extension of the elbow. Using this setup, the elbow sleeve was tested on six healthy subjects to assess the functionality of the device, in terms of the range of motion afforded by the device while in the continuous passive actuation. The results showed that the elbow sleeve is capable of achieving approximately 50% of the full range of motion of the elbow joint among all subjects. Next, further experiments were conducted to test the efficacy of the intent-based actuation on these healthy subjects. The results showed that all subjects were capable of achieving electromyography (EMG) control of the elbow sleeve. These preliminary results show that the elbow sleeve is capable of carrying out continuous passive and intent-based assisted movements. Further investigation of the clinical implementation of the elbow sleeve for the neuromuscular training of neurologically-impaired persons, such as stroke survivors, is needed.

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Section: Open-loop Resultsmentioning

confidence: 97%

Section: User Satisfactionmentioning

confidence: 99%

Biomechatronics: Harmonizing Mechatronic Systems with Human Beings

Dubey¹,

Yu²,

Low³

2019

Frontiers Research Topics

View full text Add to dashboard Cite

show abstract

“…For HR, the observations made went further and showed that this variable exhibited a considerable inertia when preceded by a higher level of physical activity, as can be seen in Figure 5 (i.e., delayed effect of task presentation order, see Table 1 ; more specifically, a continued effect of level 4 on level 2 can be seen). This delay in HR decrease during recovery from a higher level of physical effort is a well-known effect (Shetler et al, 2001 ; Vijayalakshmi et al, 2014 ). In healthy subjects, a decrease of 15–20 beats per minute in the first minute of recovery has been shown to be typical (Shetler et al, 2001 ).…”

Section: Discussionmentioning

confidence: 97%

“…The differences in standard deviation between HAO and HDM for both dominance and valence can be neglected (i.e., 0.07 and 0.59, respectively). The combination of high dominance (i.e., feeling under control of the situation) and high valence (i.e., pleasure) while still being challenged is likely to influence motivation and, thus, to promote future practice and total duration of training, which, in turn, might influence the success of motor learning (Shetler et al, 2001 ; Guadagnoli and Lee, 2004 ; Vijayalakshmi et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback

et al. 2017

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In order to harmonize robotic devices with human beings, the robots should be able to perceive important psychosomatic impact triggered by emotional states such as frustration or boredom. This paper presents a new type of biocooperative control architecture, which acts toward improving the challenge/skill relation perceived by the user when interacting with a robotic multimodal interface in a cooperative scenario. In the first part of the paper, open-loop experiments revealed which physiological signals were optimal for inclusion in the feedback loop. These were heart rate, skin conductance level, and skin conductance response frequency. In the second part of the paper, the proposed controller, consisting of a biocooperative architecture with two degrees of freedom, simultaneously modulating game difficulty and haptic assistance through performance and psychophysiological feedback, is presented. With this setup, the perceived challenge can be modulated by means of the game difficulty and the perceived skill by means of the haptic assistance. A new metric (FlowIndex) is proposed to numerically quantify and visualize the challenge/skill relation. The results are contrasted with comparable previously published work and show that the new method afforded a higher FlowIndex (i.e., a superior challenge/skill relation) and an improved balance between augmented performance and user satisfaction (higher level of valence, i.e., a more enjoyable and satisfactory experience).

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Comparison of cardiac vagal activity between pre and postmenopausal women using heart rate recovery

Cited by 2 publications

References 15 publications

Biomechatronics: Harmonizing Mechatronic Systems with Human Beings

Biomechatronics: Harmonizing Mechatronic Systems with Human Beings

Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback

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