Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example.

Under the delicate control of the brain, people can perform graceful movements through the coordination of muscles, bones, ligaments, and joints. If artificial intelligence can be used to establish a control system that simulates the movements of human arms, it is believed that the application scope of robotic arms in assisting people's daily life can be greatly increased. The purpose of this study is to build a general system that can use intelligent techniques to assist in the construction of a personalized rehabilitation system. More importantly, this research hopes to establish an intelligent system that can be adjusted according to the needs of the problem domain, that is, the system can move toward the direction of problem-solving through autonomous learning. The artificial neural molecular system (ANM system), developed early in our laboratory, which captured the close structure/function relationship of biological systems, was used. The system was operated on the V-REP (Virtual Robot Experimentation Platform). The results show that the ANM system can use self-learning methods to adjust the start-up time, rotation angle, and the sequence of the motor operation of different motors in order to complete the designated task assignment.

Effects of Artificial Texture Insoles and Foot Arches on Improving Arch Collapse in Flat Feet.

The arches of the foot play a vital role in cushioning the impact and pressure generated from ground reaction forces due to body weight. Owing to a lack of normal human arch structure, people diagnosed as having flat feet often have discomfort in the soles of their feet. The results may not only cause inappropriate foot pressure distribution on the sole but also further cause foot injuries. This study heavily relies on a homemade foot pressure sensing device equipped with textured insoles of different heights and artificial arches. This was to explore the extent to which the pressure distribution of the foot in people with flat feet could be improved. A further comparison was made of the effects of using the textured insoles with different heights on two different groups of people diagnosed with flat and normal feet respectively. Sixty-five undergraduate and postgraduate volunteers were invited to receive the ink footprint test for measuring their degrees of arch index. Nine of these 65 had 2 flat feet, 3 had a left flat foot, 5 had a right flat foot, and 48 had 2 normal feet. To ensure the same number of subjects in both the control and the experimental groups, 9 of the 48 subjects who had normal feet were randomly selected. In total, 26 subjects (Male: 25, Female: 1; Age: 22 ± 1 years; height: 173.6 ± 2.5 cm; body mass: 68.3 ± 5.4 kg; BMI: 22.6 ± 1.2) were invited to participate in this foot pressure sensing insoles study. The experimental results showed that the use of textured insoles designed with different heights could not effectively improve the plantar pressure distribution and body stability in subjects with flat feet. Conversely, the use of an artificial arch effectively improved the excessive peak in pressure and poor body stability, and alleviated the problem of plantar collapse for patients with flat feet, especially in the inner part of their hallux and forefoot.

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life with a Biomimetic System.

The hand is involved very deeply in our lives in daily activities. When a person loses some hand function, their life can be greatly affected. The use of robotic rehabilitation to assist patients in performing daily actions might help alleviate this problem. However, how to meet individual needs is a major problem in the application of robotic rehabilitation. A biomimetic system (artificial neuromolecular system, ANM) implemented on a digital machine is proposed to deal with the above problems. Two important biological features (structure-function relationship and evolutionary friendliness) are incorporated into this system. With these two important features, the ANM system can be shaped to meet the specific needs of each individual. In this study, the ANM system is used to help patients with different needs perform 8 actions similar to those that people use in everyday life. The data source of this study is our previous research results (data of 30 healthy people and 4 hand patients performing 8 activities of daily life). The results show that while each patient's hand problem is different, the ANM can successfully translate each patient's hand posture into normal human motion. In addition, the system can respond to this difference smoothly rather than dramatically when the patient's hand motions vary both temporally (finger motion sequence) and spatially (finger curvature).

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients-An Artificial World Approach.

Stroke patients cannot use their hands as freely as usual. However, recovery after a stroke is a long road for many patients. If artificial intelligence can assist human arm movement, it is believed that the possibility of stroke patients returning to normal hand movement can be significantly increased. In this study, the artificial neuromolecular system (ANM system) developed by our laboratory is used as the core motion control system to learn to control the mechanical arm, produce similar human rehabilitation actions, and assist patients in transiting between different activities. The strength of the ANM system lies in its ability to capture and process spatiotemporal information by exploiting the dynamic information processing inside neurons. Five experiments are conducted in this research: continuous learning, dimensionality reduction, moving problem domains, transfer learning, and fault tolerance. The results show that the ANM system can find out the arm movement trajectory when people perform different rehabilitation actions through the ability of continuous learning and reduce the activation of multiple muscle groups in stroke patients through the learning method of reducing dimensions. Finally, using the ANM system can reduce the learning time and performance required to switch between different actions through transfer learning.

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Dementia and central nervous system degeneration are common problems in aging societies with regard to the number of people affected and total medical expenses. Socially assistive robotic technology has gradually matured; currently, most scholars believe it can be used as companions in long-term care facilities and to work as caregivers alongside staff to improve the social interaction and mental state of older adults and patients with dementia. Therefore, this study measured the effect of the duration of exposure to socially assistive robots in older adults with dementia. RESEARCH DESIGN AND METHODS: Seven databases were searched up to February 2019 through the consultation of appropriate Internet sites and the use of criteria lists recommended by relevant experts. Randomized controlled trials comparing socially assistive robot use with a control group in older adults with dementia and using at least one of the primary outcomes of agitation, depression, and quality of life were included. RESULTS: Thirteen randomized controlled trials were identified from 873 articles, 7 of which were included in the meta-analysis. The pooled effect estimate from 3 trials with 214 participants revealed that the pet-type robot improved patients' agitation level, with a standardized mean difference of -0.37 (95% CI: -0.64 to -0.10, p < .01) and no heterogeneity (I 2 = 0%). The results also revealed that length of each session and pet-type robot exposure time per week were associated with reduced depression levels (ß = -0.06, Q = 21.213, df = 1, p < .001 and ß = -0.019, Q = 7.532, df = 1, p < .01, respectively). However, the results for quality of life were nonsignificant. DISCUSSION AND IMPLICATIONS: Pet-type robot systems seem to be a potential activity in long-term care facilities for dementia care. Further research is warranted to establish a comprehensive intervention plan related to the use of pet-type robots.

Massage therapy for weight gain in preterm neonates: A systematic review and meta-analysis of randomized controlled trials.

OBJECTIVES: Weight gain is the main criterion for hospital discharge. This study measured the effectiveness of treating preterm neonates with massage therapy. DESIGN: Systematic review and meta-analysis of randomized controlled trials. DATA SOURCES: Web of Science, Ovid-Medline, CINAHL, ProQuest, and PubMed (up to July 24, 2018). STUDY SELECTION: Randomized controlled trials involving preterm infants with very-low-birth weight or low-birth-weight that examined the effect of massage therapy, and at least one outcome assessing infants' weight change or weight gain. RESULTS: Pooled effect estimate from 15 trials with 697 participants showed that massage therapy improved daily weight gain by 5.07 g/day (95% CI 2.19-7.94, p = 0.0005). More benefits were observed when preterm neonates received moderate pressure massage (5.60 g/day, 95% CI 2.64-8.56, p = 0.0002) than when receiving light-pressure therapy (1.08 g/day, 95% CI 0.29-1.86, p = 0.007). CONCLUSIONS: Massage therapy is beneficial for preterm infant weight gain.

Horticultural Therapy in Patients With Dementia: A Systematic Review and Meta-Analysis.

BACKGROUND: World Health Organization has communicated that dementia as a public health priority in 2012. Behavioral and psychological symptoms of dementia are the main reason results in hospitalization of dementia patients. Horticulture is one of the favorite activity for many peoples to relax their minds. OBJECTIVES: To investigate psychological health benefits of horticulture intervention in dementia patients. METHODS: The databases including Cochrane Library, ProQuest, PubMed, EMBASE, EBSCO, Web of Science, and Ovid Medline were searched up to August 2017. RESULTS: Twenty-three articles for systematic review, whereas 8 articles were included in meta-analysis. Meta-analysis verified the beneficial effect of horticultural therapy (HT) on agitation level (standard mean difference: -0.59; P < .00001); increase time spent on activity engagement (mean differences [MD]: 45.10%, P < .00001); decrease time for doing nothing (MD: -29.36%, P = .02). CONCLUSIONS: Patients with dementia benefit from horticultural by alleviating their degrees of agitate behaviors, increasing time of engaging in activities and decrease time of doing nothing.

Educational intervention on physical restraint use in long-term care facilities - Systematic review and meta-analysis.

"Physical restraint" formerly used as a measure of protection for psychiatric patients is now widely used. However, existing studies showed that physical restraint not only has inadequate effect of protection but also has negative effects on residents. To analyzes the impact of educational program on the physical restraint use in long-term care facilities. DESIGN: A systematic review with meta-analysis and meta-regression. Eight databases, including Cochrane Library, ProQuest, PubMed, EMBASE, EBSCO, Web of Science, Ovid Medline and Physiotherapy Evidence Database (PEDro), were searched up to January 2017. Eligible studies were classified by intervention and accessed for quality using the Quality Assessment Tool for quantitative studies. Sixteen research articles were eligible in the final review; 10 randomize control trail studies were included in the analysis. The meta-analysis revealed that the use of physical restraint was significantly less often in the experimental (education) group (OR = 0.55, 95% CI: 0.39 to 0.78, p < 0.001) compared to the control group. Meta-regression revealed the period of post education would have decreased the effect of the restraint educational program (ß: 0.08, p = 0.002); instead, the longer education period and more times of education would have a stronger effect of reducing the use of physical restraint (ß: -0.07, p < 0.001; ß: -0.04, p = 0.056). The educational program had an effect on the reduced use of physical restraint. The results of meta-regression suggest that long-term care facilities should provide a continuous education program of physical restraint for caregivers.

Pattern Categorization and Generalization with a Virtual Neuromolecular Architecture.

A multilevel neuromolecular computing architecture has been developed that provides a rich platform for evolutionary learning. The architecture comprises a network of neuron-like modules with internal dynamics modeled by cellular automata. The dynamics are motivated by the hypothesis that molecular processes operative in real neurons (in particular processes connected with second messenger signals and cytoskeleton-membrane interactions) subserve a signal integrating function. The objective is to create a repertoire of special purpose dynamic pattern processors through an evolutionary search algorithm and then to use memory manipulation algorithms to select combinations of processors from the repertoire that are capable of performing coherent pattern recognition/neurocontrol tasks. The system consists of two layers of cytoskeletally controlled (enzymatic) neurons and two layers of memory access neurons (called reference neurons) divided into a collection of functionally comparable subnets. Evolutionary learning can occur at the intraneuronal level through variations in the cytoskeletal structures responsible for the integration of signals in space and time, through variations in the location of elements that represent readin or readout proteins, and through variations in the connectivity of the neurons. The memory manipulation algorithms that orchestrate the repertoire of neuronal processors also use evolutionary search procedures. The network is capable of performing complicated pattern categorization tasks and of doing so in a manner that balances specificity and generalization. Copyright 1996 Elsevier Science Ltd.