Robot-assisted therapy using the MOTOmed letto 2 for the integrated early rehabilitation of stroke patients admitted to the intensive care unit

Проказова, П.Р.; Piradov, М. А.; Ryabinkina, Yu. V.; Kunzevich, G. I.; Gnedovskaya, E. V.; Попова, Л. Л.

doi:10.1134/s0362119716080107

Cited by 12 publications

(6 citation statements)

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“…They played a role in enhancing and optimizing the process of patient recovery. Of the 3 robots we identified, 2 (67%) were targeted toward early functional rehabilitation for patients with stroke [ 13 , 25 , 28 ], and 1 (33%) was a robot specially designed for the care of neonates in the NICU [ 17 , 36 ]. Physiological parameters were measured to evaluate the effects of the 3 robots, which have been shown to be beneficial overall.…”

Section: Resultsmentioning

confidence: 99%

“…MOTOmed LOTTO 2 (RECK-Technik) [ 25 ] is a robotic movement therapy device that enables leg mobilization in a supine position, allowing for passive, active, or assisted mobilization for patients on prolonged bed rest. Early rehabilitation of patients of stroke has been shown to lead to better functional outcomes in patients with acute ischemic stroke [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

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Use of Robots in Critical Care: Systematic Review

Teng¹,

Ding²,

See³

2022

J Med Internet Res

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Background The recent focus on the critical setting, especially with the COVID-19 pandemic, has highlighted the need for minimizing contact-based care and increasing robotic use. Robotics is a rising field in the context of health care, and we sought to evaluate the use of robots in critical care settings. Objective Although robotic presence is prevalent in the surgical setting, its role in critical care has not been well established. We aimed to examine the uses and limitations of robots for patients who are critically ill. Methods This systematic review was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. MEDLINE, Embase, IEEE Xplore, and ACM Library were searched from their inception to December 23, 2021. Included studies involved patients requiring critical care, both in intensive care units or high-dependency units, or settings that required critical care procedures (eg, intubation and cardiopulmonary resuscitation). Randomized trials and observational studies were included. Results A total of 33 studies were included. The greatest application of robots in the intensive care unit was in the field of telepresence, whereby robots proved advantageous in providing a reduced response time, earlier intervention, and lower mortality rates. Challenges of telepresence included regulatory and financial barriers. In therapy and stroke rehabilitation, robots achieved superior clinical outcomes safely. Robotic use in patient evaluation and assessment was mainly through ultrasound evaluation, obtaining satisfactory to superior results with the added benefits of remote assessment, time savings, and increased efficiency. Robots in drug dispensing and delivery increased efficiency and generated cost savings. All the robots had technological limitations and hidden costs. Conclusions Overall, our results show that robotic use in critical care settings is a beneficial, effective, and well-received intervention that delivers significant benefits to patients, staff, and hospitals. Looking ahead, it is necessary to form strong ethical and legislative frameworks and overcome various regulatory and financial barriers. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42021234162; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=234162

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Use of Robots in Critical Care: Systematic Review

Teng¹,

Ding²,

See³

2022

J Med Internet Res

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“…First collect or preprocess the prepared image, and then perform feature extraction. Secondly, the feature vector extracted from the feature is sent to the model for classification and recognition, and finally the recognition result is output [20][21]. The wavelet threshold noise reduction method is the most commonly used in image processing technology [22][23].…”

Section: A Target Recognition Technologymentioning

confidence: 99%

Target Recognition Method of Rehabilitation Robot Based on Image Local Features

Xing

2020

IEEE Access

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Target recognition technology is an important topic in the field of artificial intelligence, which is widely used in fields such as medicine, robot vision, highway traffic, and VR technology. In the robot vision system, the target recognition technology requires high precision, real-time, and practicality, and it must be able to cope with the harsh recognition environment on site. This paper mainly studies the target recognition method of rehabilitation robot based on image local features. In this paper, a rehabilitation robot recognition system is established based on the local features of the image and the target recognition technology. Firstly, after collecting or processing the initially prepared images, feature extraction is performed, and the feature vectors extracted from the features are classified and recognized and then transferred to the recognition model of the rehabilitation robot. Then, according to the functional requirements of the rehabilitation robot recognition system, the "one-to-many" rehabilitation mode and real-time system monitoring are realized to accurately identify the target state. Finally, the Harris algorithm is used to convert the predetermined image set into a grayscale image, and the Gaussian distribution is used uniformly to determine the location and proportion of the feature points, and extract the corresponding image.The Harris matching method used in this article is very effective and has the highest accuracy. The number of correct matches accounted for 58.3%. Compared with the SIFT algorithm and the Harris+SIFT algorithm, the accuracy rate increases by 12.3% and 14.4%, respectively. The recall rate increased by 13.2% and 8.9% respectively. The experimental results show that the target recognition technology of rehabilitation robot based on image local features is more accurate than general technology.

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“…A clinical study has verified the effectiveness of cycling as a rehabilitative exercise [12]. There are several commercially available rehabilitation devices that employ the cycling motion for lower limb exercise, including NuStep [13], THERA-Vital [14], MOTOmed [15] and RehaMove [16]. These devices provide passive, motor-assisted or active-passive motions to users through training modes that are selected based on muscle strength [17].…”

Section: Introductionmentioning

confidence: 99%

Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles

Huang

Ceccarelli

Mai

2019

Sensors

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The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle exercise is important for persons living with lower limb disabilities. This paper presents a medical assistive robot with leg exoskeletons for locomotion and leg muscle exercises. It also presents a novel pedal-cycling actuation method with a crank-rocker mechanism. The mechanism is driven by a single motor with a mechanical structure that ensures user safety. A control system is designed based on a master-slave control with sensor fusion method. Here, the intended motion of the user is detected by pedal-based force sensors and is then used in combination with joystick movements as control signals for leg-exoskeleton and wheelchair motions. Experimental data is presented and then analyzed to determine robotic motion characteristics as well as the assistance efficiency with attached electromyogram (EMG) sensors. A typical muscle EMG signal analysis shows that the exercise efficiency for EMG activated amplitudes of the gluteus medius muscles approximates a walking at speed of 3 m/s when cycling at different speeds (i.e., from 16 to 80 r/min) in a wheelchair. As such, the present wheelchair robot is a good candidate for enabling effective gluteus medius muscle exercises for persons living with gluteus medius muscle disabilities.

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Robot-assisted therapy using the MOTOmed letto 2 for the integrated early rehabilitation of stroke patients admitted to the intensive care unit

Cited by 12 publications

References 6 publications

Use of Robots in Critical Care: Systematic Review

Use of Robots in Critical Care: Systematic Review

Target Recognition Method of Rehabilitation Robot Based on Image Local Features

Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles

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