Neofect announces the launch of its new app, Neofect Connect, developed to deliver customized exercises, educational tools, and motivation to guide patients at home as they work to regain the use of their hands and arms after experiencing a stroke.
The app provides reminders, daily exercises, and educational resources to help patients recovering from stroke stay engaged with their rehabilitation. For current users of Neofect’s Smart Rehabilitation Solutions — including the Neofect Smart Glove, the Neofect Smart Board, and the Neofect Smart Kids — the app also serves as a library to store and access activity summaries and progress reports, according to Neofect in a media release.
“Neofect Connect is designed to support, inspire, and empower stroke survivors through rehabilitation at home. Rehabilitation is a time-consuming and tedious process, and it can be hard for patients to stay motivated, especially without the benefit of in-person therapy. Connect is meant to help patients establish regular rehabilitation practices and reinforce lifelong behavioral changes that are essential to their health and wellness.”
— Scott Kim, co-founder and CEO of Neofect USA
The app first walks users through a detailed stroke evaluation to determine the affected side and user mobility, then encourages them to set goals that serve as the foundation for recommended exercises and educational resources.
With a user’s needs and ability level in mind, Connect then suggests daily activities — such as using a toothbrush with the affected hand, writing a name five times, or trying to operate scissors without assistance — best suited for their recovery. Most importantly, Connect sends users daily reminders and push notifications so that patients never miss an exercise and maintain an active rehabilitation schedule, the release continues.
“Consistency is critical to recovery,” Kim adds. “Connect keeps daily exercises and rehabilitation top of mind, so stroke survivors don’t miss a session and derail their progress.”
Connect also delivers educational materials and videos developed by Neofect’s licensed therapists to prepare patients for what to expect during rehabilitation. It offers advice, inspirational messages, and tips to establish better lifestyle habits, boost mental health, and improve a user’s overall well-being. Additionally, a diary function enables users to log personal notes about their activities and achievements.
You’ve probably heard a lot of recommendations on how to recover hand function after stroke. We sifted through the research for you to explain the top 5 medically proven methods for hand rehabilitation, why they work, and who they work for.
After a stroke, it’s challenging enough to navigate the medical system to find what services you need, let alone the right treatment approach for you.
You’ve probably heard a lot of recommendations on how to recover hand function after stroke, and everyone seems to give different advice. That’s why we sifted through the research for you. We’ll explain the top 5 evidence-based methods for hand rehabilitation, why they work, and who they work for.
The top 5 evidence-based treatments for improving hand function after stroke:
Constraint‐induced movement therapy (CIMT)
High dose repetitive task practice
Constraint-Induced Movement Therapy
What it is:
Constraint-Induced Movement Therapy (CIMT) is a neuro-rehabilitation method where the non-affected hand is constrained or restricted in order to force the brain to use the affected hand, thereby increasing neuroplasticity.
There are two key components: constraint and shaping.
Constraint refers to the way in which the hand is restricted. Therapists have used casts, splints, and mitts to restrict the use of the non-affected hand. None of them have been shown to be more effective than the other.
Shaping involves repetitive movements or activities at the patient’s ability level which become progressively harder. Therapists use shaping techniques to avoid overwhelming the motor system.
Why it works:
Our brain automatically completes a task in the easiest way possible. Our brain is more interested in completing a task than in how it is accomplished.
After a stroke, it’s easier for our brain to do tasks one-handed. This leads to “learned non-use”.
When we constrain our non-affected hand, suddenly our stronger hand becomes the weaker, less functional hand and we’re forced to use our affected hand. Our affected hand might not have much movement, but to our brain any movement is better than no movement, and the brain is highly motivated to figure out how to accomplish a task.
This is where the “shaping” piece is so important. If you are presented with rehab tasks that overwhelm the motor system or are higher level than your affected hand can functionally do, you’ll be more likely to knock the table over than to participate in picking up pennies from the table.
If you knock the table over with your affected hand, your occupational therapist might actually be excited about it; but in practical life finding that balance of not being too easy and not being so hard that you give up is an important lesson for every human being, not just those after stroke.
Who it’s for:
This approach is used for people who have at least 10 degrees of active wrist and finger extension, as well as 10 degrees of thumb abduction (the ability of the thumb to move out of the palm).
It’s been shown to be effective even years after stroke. Lower intensity CIMT is better than higher intensity in the very early stages after stroke.
What it is:
Mental practice, sometimes called motor imagery or mental imagery, is a training method for improving your hand and arm function without moving a muscle!
Mental practice is typically done by listening to pre-recorded audio that describes in detail the motor movement of a specific task. The listener imagines their hand and arm moving in a “typical” way, and the instructor provides cues to extend their arm or open their fingers, as well as the entire sensory experience of the task.
While it’s true that you can do mental practice on its own, it’s best combined with physical practice immediately following.
Why it works:
Brain scans show that similar parts of the brain are activated whether movement is actual, observed or imagined.
It’s a separate area of the brain that’s responsible for actually triggering the muscle movement, but it goes to show that there’s a lot more required of the brain to complete a task than just sending a signal to the muscle.
Who it’s for:
Mental practice has been shown to improve arm movement and functional use in patients after stroke of all levels of abilities and as a treatment approach for people months or years after stroke!
What it is:
Mirror therapy is another voodoo-seeming approach that has a lot of scientific evidence to back it up. It essentially tricks your brain into thinking your affected hand is moving.
You position a mirror to reflect your non-affected hand, while hiding your affected hand. Any movement of your non-affected hand will be reflected in the mirror and make it seem as though you are actually moving your affected hand.
Why it works:
The approach is centered around mirror neurons, which fire in your brain when you see your arm move. Typically, we think about motor neurons being sent from the brain to the muscle, but we don’t realize that mirror neurons are connected to the motor neurons.
After a stroke you lose the ability to access your motor neurons, but not your mirror neurons. By accessing your mirror neurons through seeing your movement (even if the movement is fake), you are tapping into the network between the neurons.
It’s like trying to reconnect with an old friend on Facebook by finding the friends they’re connected with. It might not be the most direct approach in a real life situation, but in stroke rehab that friend of a friend might be your strongest connection.
Who it’s for:
Mirror therapy can be used for people with no movement of the hand or smaller movements of the hand and shoulder, but not functional movement of the hand.
If you have functional movement of your hand, meaning individual finger movement and wrist movement, you have surpassed the benefit that mirror therapy can provide.
It can be used early after stroke, as well as in the chronic stages of stroke.
What it is:
Virtual reality uses a computer interface to simulate a real life objects and events. It’s become an increasingly more prevalent rehabilitation technique to provide motivation and engagement in therapy.
There are two types:
Immersive: goggles are placed over the eyes and the patient is visually in a different environment than their actual physical one
Non-immersive: sensors are placed on the body and track the movement of the body and the movements are shown on a screen
Why it works:
Virtual reality works best when paired with traditional therapy. It’s theorized to provide more motivation and engagement for the intensity of therapeutic exercise needed for neuroplasticity. It’s been shown to beneficial in high doses, meaning more than 20 hours.
Another possible factor of why virtual reality works are the same mechanisms that make mirror therapy effective (tapping into the mirror neurons) could be similar.
Virtual reality also creates a biofeedback loop: your brain sends a signal to the muscle, the brain receives a signal back in the form of visual or auditory input. Basically, you get rewarded for your effort.
Who it’s for:
Virtual reality can be used with people who have mild to severe impairments, and from early after stroke to years out.
When deciding what’s right for you, it’s important to look at the adjustability of the device to meet you where you’re at and also to increase in difficulty as you improve.
If you have minimal movements, you’ll want a virtual reality tool specifically for stroke rehabilitation. If you have more movement, it’s possible to use gaming systems not specifically designed for rehab, but make sure you have the support to optimize it for rehab.
High Dose Repetitive Task Practice
What it is:
Repetitive Task Practice is when you practice a task or a part of a task over and over. Task-specific training is a type of repetitive task practice, and refers to the task we complete that is relevant to our daily life.
“Reach to grasp, transport and release” is a type of task-specific training because it is one of the common motor requirements for many functional daily tasks.
The keys for repetitive task practice:
Task must be meaningful
Participant must be an active problem-solver
Real life objects are used
Difficulty level is not too high and not too low
Repetition is key
Why it works:
Repetitive Task Practice is based on motor learning theory. Our brains are driven by function. We’re able to achieve neuroplasticity with development of skills, as our brain processes the demands of the task, which have motor and cognitive components.
It’s often used with other treatments, such as virtual reality, to increase the 15 hour dosage that has been shown to be beneficial.
Who it’s for:
Task-specific practice is generally used and is studied in people who have some functional ability of their hand. It’s been shown to be beneficial throughout the rehabilitation process.
Even though the research has been focused on “functional ability” of the hand by practicing reach, grasp, transport, release; there’s potential for recovery by using the same principles of task-specific practice: real life objects, functional tasks, and problem-solving even without the ability to grasp.
Functionally, we can use our affected upper extremity as a stabilizer, an assist, or for manipulation. There are lots of ways to get that side involved to prevent “learned non-use” and to improve your problem-solving skills.
There are two key factors to any hand recovery method: support and meaning.
Neofect aims to support and inspire you to live your best life with virtual reality tools that can be used as part of a constraint-induced movement therapy program or with repetitive task practice.
Our comprehensive recovery and wellness app: Neofect Connect and our YouTube Channel: Find What Works are based on the principles of repetitive task practice and aim to give you the tools to live your best life.
Now the only question is, what are you waiting for?
Background. In monkey, reticulospinal connections to hand and forearm muscles are spontaneously strengthened following corticospinal lesions, likely contributing to recovery of function. In healthy humans, pairing auditory clicks with electrical stimulation of a muscle induces plastic changes in motor pathways (probably including the reticulospinal tract), with features reminiscent of spike-timing dependent plasticity. In this study, we tested whether pairing clicks with muscle stimulation could improve hand function in chronic stroke survivors.
Methods. Clicks were delivered via a miniature earpiece; transcutaneous electrical stimuli at motor threshold targeted forearm extensor muscles. A wearable electronic device (WD) allowed patients to receive stimulation at home while performing normal daily activities. A total of 95 patients >6 months poststroke were randomized to 3 groups: WD with shock paired 12 ms before click; WD with clicks and shocks delivered independently; standard care. Those allocated to the device used it for at least 4 h/d, every day for 4 weeks. Upper-limb function was assessed at baseline and weeks 2, 4, and 8 using the Action Research Arm Test (ARAT), which has 4 subdomains (Grasp, Grip, Pinch, and Gross).
Results. Severity across the 3 groups was comparable at baseline. Only the paired stimulation group showed significant improvement in total ARAT (median baseline: 7.5; week 8: 11.5; P = .019) and the Grasp subscore (median baseline: 1; week 8: 4; P = .004).
Conclusion. A wearable device delivering paired clicks and shocks over 4 weeks can produce a small but significant improvement in upper-limb function in stroke survivors.
Despite limited scientific evidence, there is an increasing interest in soft robotic gloves to optimize hand- and finger-related functional abilities following a neurological event. This review maps evidence on the effects and effectiveness of soft robotic gloves for hand rehabilitation and, whenever possible, patients’ satisfaction. A systematized search of the literature was conducted using keywords structured around three areas: technology attributes, anatomy, and rehabilitation. A total of 272 titles, abstracts, and keywords were initially retrieved, and data were extracted out of 13 articles. Six articles investigated the effects of wearing a soft robotic glove and eight studied the effect or effectiveness of an intervention with it. Some statistically significant and meaningful beneficial effects were confirmed with the 29 outcome measures used. Finally, 11 articles also confirmed users’ satisfaction with regard to the soft robotic glove, while some articles also noticed an increased engagement in the rehabilitation program with this technology. Despite the heterogeneity across studies, soft robotic gloves stand out as a safe and promising technology to improve hand- and finger-related dexterity and functional performance. However, strengthened evidence of the effects or effectiveness of such devices is needed before their transition from laboratory to clinical practice.
The hand and fingers are essential organs to perform a multitude of functional tasks in daily life, particularly to grasp and handle objects. In fact, the movements performed with the hand to grasp and handle objects, which can solicit up to 19 articulations driven by 29 muscles,1 can be grouped into two broad categories: power and precision grasps. Power grasping requires an individual performing gross motor tasks to generate large forces to firmly hold an object. In contrast, precision grasping requires an individual performing fine motor tasks to generate multiple levels of force to hold an object. The power grasps can be further characterized into cylindrical, spherical, or hook grasps whereas the precision grasps can be further categorized into pinch, tripodal, or lumbrical grasps (Figure 1).2 Whenever sensorimotor impairments of the hand and fingers develop as a result of a neurological event (e.g. stroke, spinal cord injury, Parkinson’s disease),3 the ability to grasp becomes jeopardized to various extents and may negatively impact functional abilities, as well as social participation and life satisfaction.4
Figure 1. Different types of power and precision grasps.
Despite intensive neurorehabilitation efforts, the likelihood of regaining optimal hand and finger-related functional abilities remains low following a neurological event. For examples, three months after a stroke, only 12% of survivors say they have no problem at all whereas 38% report major difficulties with hand and finger-related functional abilities,5,6 while 75% of individuals with a spinal cord injury at the cervical vertebral level (i.e. tetraplegia), who were asked which function they would most like to have restored, chose upper extremity function,7 with improvement in hand function being their highest-ranked goal.8 Therefore, it is no surprise that one of the most commonly expressed goals of individuals who have sustained a neurological event (i.e. stoke, tetraplegia) and rehabilitation professionals is to engage in neurorehabilitation interventions that can reduce hand and finger sensorimotor impairments, thus improving related functional abilities that are crucial for optimal social participation and life satisfaction.
Rehabilitation strategies designed to maximize hand and finger-related functional abilities are predominantly founded on activity-based therapy, integrating the principles of neuroplasticity.9 Such an approach requires these individuals to engage in meaningful hand- and finger-specific exercises that they must repeat intensively on a daily basis.10,11 In fact, to expect beneficial neuroplastic adaptations, animal studies focusing on gait suggest that up to 1000 to 2000 steps must be taken daily, whereas human studies focusing on grasping in stroke survivors suggest that at least 100 repetitions need to be completed daily.12 Although the evidence suggests the need, adhering to these principles13 remains challenging in clinical practice, especially given various time and productivity constraints. Indeed, it is common to observe in clinical practice that exercise programs are performed individually with direct supervision by a rehabilitation professional, which leads to productivity issues and limits the possibility of implementing interventions at high intensity.14,15 In fact, evidence suggests that the number of repetitions observed for upper extremity work in stroke survivors undergoing neurorehabilitation typically ranges between 12 and 60 repetitions per session, which is far below the number required to expect neuroplastic adaptations.16,17 In addition, recovery may be limited by lack of treatment time, due to the elevated demand for neurorehabilitation services and increased therapists’ workload, especially in publicly funded healthcare environments.18 As a result, individuals with sensorimotor deficits undergoing intensive functional rehabilitation may not achieve the full potential of their hand and fingers sensorimotor and related functional recovery and may reach a ‘recovery plateau’ earlier than expected during the rehabilitation process.
To overcome this challenge, the last decade has seen substantial progress in the development of soft robotic gloves that can facilitate hand and finger movements when performing activities of daily living (ADL) and instrumental activities (iADL) that require grasping objects.19 Moreover, these soft robotic gloves are predicted to be a promising adjunct neurorehabilitation intervention to potentiate the effects of conventional rehabilitation interventions and are now about to be introduced into clinical practice; their effects, however, remain uncertain due to a paucity of evidence. In this context, the present review aims to map, for the first time, the evidence of the effects of the soft robotic glove on the performance of hand- and finger-related functional activities (i.e. with vs. without the technology) and on hand and finger sensorimotor and related functional abilities (i.e. before vs. after an intervention using the technology), among individuals with hand and finger sensorimotor impairments and related disabilities and, whenever investigated, patients’ satisfaction related to the use of the soft robotic glove. Specifically, this review seeks to address the following objectives: (1) determine the effects of rehabilitation interventions using soft robotic gloves; and (2) determine the acceptability and the perceived usefulness of this technology.[…]
Saebo, Inc. is a medical device company primarily engaged in the discovery, development, and commercialization of affordable and novel clinical solutions designed to improve mobility and function in individuals suffering from neurological and orthopedic conditions. With a vast network of Saebo-trained clinicians spanning six continents, Saebo has helped over 500,000 clients around the globe achieve a new level of independence.
Assistant professors in the University of Iowa College of Engineering have developed a robotic device to help people increase their range of motion in the wrist using artificial muscles to increase flexibility.
Caterina Lamuta (left) and Venanzio Cichella (right) pose for a portrait in front of their home on Saturday, April 25, 2020. Both mechanical engineering professors at the University of Iowa, the couple is a part of the team working to create a new robotic rehabilitation device.
Two mechanical-engineering assistant professors at the University of Iowa have created a robotic device to give people with limb impairment a wider range of motion. Right now, the pair is focused on the upper limbs and their first prototype increases mobility in the wrist.
The researchers, Venanzio Cichella and Caterina Lamuta, worked together to develop a flexible, lightweight device that can be powered with a small battery. Lamuta and her students are designing and developing the device itself and Cichella and his student are developing the controls of the device.
The device fits over the hand and wrist like a glove, and uses artificial muscles made from carbon fibers which are strong and flexible, Lamuta said. The muscles can lift 12,600 times their weight, and a lot of these artificial muscles can be used to reproduce the arrangement of human muscle. A small battery can be used to power the device, she said.
“So, the idea is to use this more flexible artificial muscle as an alternative for noisy and heavy traditional actuators like electrical motors or hydraulic or pneumatic actuators,” Lamuta said.
The current prototype can perform a few degrees of wrist extension and flexion, she said, but the researchers are working to increase the motion capabilities of the device.
The actuators the researchers are using are very inexpensive, Cichella said. This allows them to not only create a device that is portable and cheap, he said, but allows them to put more of the actuators in the device.
With so many actuators, the question eventually became how to move each of them in order to get the desired action or movement, he said.
Cichella is developing robust control algorithms that can be implemented in the device. He and his student are developing theoretical tools that will help find the optimal controls for the device, Cichella said, and the goal is to implement the algorithms on the side of the device.
Amid spread of the novel coronavirus, some orders for supplies to build sensors have been delayed and working from home makes it so they can’t use larger machinery in the labs, Lamuta said, so they’re going to have delays in their work.
“Part of our research takes place in the lab, which now is the living room of our house and our students’ houses, and also on paper and pen, so it (the challenge) spans both for theoretical and experimental,” Cichella said.
Two UI Ph.D. students and a visiting scholar from Italy are helping with the development of the algorithms and prototypes of the device.
Thilina Weerakkody, a Ph.D. student, and Carlo Greco, the visiting scholar, are working with Lamuta to develop the device itself.
Weerakkody, who has a background in biomedical-device development, has worked on the device, which is similar to an exoskeleton hand, to control it with external feedback. Now, he’s in the process of developing external sensors for the device, he said.
The first prototype only had a single degree of freedom for the wrist, he added.
“Now in the second prototype, we’ve developed a 3D-printed prototype, so in this phase we are trying to elicit two freedom instances,” Weerakkody said.
Greco helped design the muscle used in the glove, choosing the dimension and length of the muscles and studying the schematics of the wrist, he said. The glove was initially able to move up and down in one motion, Greco said, but now they are working to improve movement in the other direction.
“Our testing now is done on a 3D-printed hand with a forearm and we can measure the displacement of the angle of rotation,” Greco said. “…[If] a person does a motion on his own hand and our hand [should] do the same motion in the same [amount of] time.”
Calvin Kielas-Jensen, a Ph.D. student, has worked with Cichella to develop the control algorithms for the device. They’re working with a motion-capture system to give them submillimeter accuracy for the positions of the wrist.
With a background in electrical engineering, Kielas-Jensen has helped with the electronics in the device. He is providing feedback for what kind of sensors should be used and what kind of algorithms should be used to read the data, Kielas-Jensen added.
“It’s a rehabilitation device, so there are plenty of rehabilitation doctors that say that it’s really good to have people do something with their hands,” he said. “It’s one thing to give a patient a stress ball to squeeze, but it gets tired — it gets boring.”
DigiTrainer is a tool for reducing the muscle tone and increasing mobility in the fingers
SIMPLY EFFECTIVE HAND THERAPY
DigiTrainer (formerly RehaDigit) can reduce the muscle tone and increase mobility in the fingers of the hand.
Following a stroke, brain injury or spinal cord injury, for example, the muscles and soft-tissues of the hand can become tight and the sensory pathways disrupted.
In order to recover lost tactile sense and to trigger new movement capabilities, intensive rehabilitation is needed and this should start as soon as possible following the injury.
For example, with a cervical level spinal cord injury it is important to avoid complications by early positioning, stretches and oedema management. The hand is perhaps the most important resource after the brain in these cases so the hands must be kept supple if we are to have a chance of developing functional activities. The DigiTrainer makes intensive rehab possible.
DigiTrainer provides both motor and sensory rehabilitation in a simple and effective manner. Through a series of finger-rolls the patient’s fingers are alternately bent and stretched (flexion/extension of the finger joints). The specially designed motor induces a slight vibration into the hand and this supports the relaxation of the finger muscles.
DigiTrainer delivers the following functions
works for the left and the right hand
adjustable rotation velocity
adjustable vibration frequency
continues or periodic crescendo and decrescendo vibrations
ergonomic hand rest (height adjustable)
usage via touch screen
therapy time: 5-30 min
offer price £2,660 ex VAT and shipping
INDICATIONS FOR USE
DigiTrainer can be used for the following indications:
passive bend and stretch movement of the II-V fingers in the rehabilitation of patients with hemi- and tetraparesis from moderate to strong paresis of the upper extremity
for example, after stroke, paraplegia, traumatic brain injury, M. Parkinson or joint injuries
for patients without distal activity of the wrist and finger flexors
incomplete and complete motoric paraplegia after spinal cord injury
for patients with spasticity in arms, low blood circulation and impaired hand mobility
for patients with functional loss after injury or surgery
WHAT IT DOES
DigiTrainer is a CE marked Class II medical device. The items included with the product are 1 DigiTrainer, 2 adapter plates for hand rest (25mm and 20°), 1 power supply and appropriate cable and 1 user manual
Check out the video below to see DigiTrainer in action. The unit accomodates left or right hands of various sizes and allows easy programming via a touch screen interface. The therapist can control the specific nature and speed of the movement as the DigiTrainer stretches and massages the fingers. Integrated vibration relaxes tight fingers in a safe and effective way. DigiTrainer has a unique operating principle – most devices focus on movement whereas DigiTrainer also targets the sensorimotor system. Studies have confirmed the effectiveness of the device.
The DigiTrainer is generally a safe product but we recommend initial supervision and guidance is obtained from knowledgeable person
Contraindications for DigiTrainer include patients with:
fully developed shoulder-arm syndrome
acute arthritis in finger joints, thumb joints and/or wrist
severe contractures of the finger joints, thumb joints and/or wrist
acute disorders requiring special treatment of fingers or hand (e.g. tendinitis)
massively swollen hand
allergic exanthema of hand
Stefan Hesse, H Kuhlmann, J Wilk, C Tomelleri and Stephen GB Kirker (2008) “A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients” Journal of NeuroEngineering and Rehabilitation20085:21 DOI: 10.1186/1743-0003-5-21 https://jneuroengrehab.biomedcentral.com/articles/10.1186/1743-0003-5-21
R. Buschfort, J. Brocke, A. Heß, C. Werner, A. Waldner, and Stefan Hesse,
”Arm Studio to intensify upper limb rehabilitation after stroke: Concept, acceptance, utilisation and preliminary clinical results”
J Rehabil Med 2010; 42: 310–314
Stefan Hesse, Anke Heß, Cordula Werner, Nadine Kabbert, Rüdiger Buschfort
“Effect on arm function and cost of robot-assisted group therapy in subacute patients with stroke and a moderately to severely affected arm: a randomized controlled trial”
Clinical Rehabilitation 2014, Vol. 28(7) 637–647 DOI: 10.1177/0269215513516967
A. Waldner, C. Werner, S. Hesse
“Robot assisted therapy in neurorehabilitation”
EUR MED PHYS 2008;44(Suppl. 1 to No. 3)
In this paper, we propose and demonstrate the functionality of a novel exoskeleton which provides variable resistance training for human hands. It is intended for people who suffer from diminished hand strength and low dexterity due to non-severe forms of neuropathy or other ailments. A new variable-stiffness mechanism is designed based on the concept of aligning three different sized springs to produce four different levels of stiffness, for variable kinesthetic feedback during an exercise. Moreover, the design incorporates an interactive computer game and a flexible sensor-based glove that motivates the patients to use the exoskeleton. The patients can exercise their hands by playing the game and see their progress recorded from the glove for further motivation. Thus the rehabilitation training will be consistent and the patients will re-learn proper hand function through neuroplasticity. The developed exoskeleton is intrinsically safe when compared with active exoskeleton systems since the applied compliance provides only passive resistance. The design is also comparatively lighter than literature designs and commercial platforms.
Physiotherapy has been very monotonous for patients and they tend to lose interest and motivation in exercising. Introducing games with short term goals in the field of rehabilitation is the best alternative, to maintain patients’ motivation. Our research focuses on gamification of hand rehabilitation exercises to engage patients’ wholly in rehab and to maintain their compliance to repeated exercising, for a speedy recovery from hand injuries (wrist, elbow and fingers). This is achieved by integrating leap motion sensor with unity game development engine. Exercises (as gestures) are recognised and validated by leap motion sensor. Game application for exercises is developed using unity. Gamification alternative has been implemented by very few in the globe and it has been taken as a challenge in our research. We could successfully design and build an engine which would be interactive and real-time, providing platform for rehabilitation. We have tested the same with patients and received positive feedbacks. We have enabled the user to know the score through GUI.
Losing grip strength is a common byproduct of arthritis and a number of other health issues. Following a fast and simple set of exercises using Therapy Putty can help. Vive Health demonstrates them in a free video that is winning wide praise.
Naples, FL (PRUnderground) February 21st, 2020
Arthritis, age, and many other factors can lead to weakened grip and hand strength. Of course, this has a negative lifestyle impact that can’t be understated. Always on top of providing easy-to-follow and functional wellness tips and products Vive Health recently celebrated the release of a compelling new YouTube video addressing this serious concern, “8 Easy Hand & Finger Exercises Using Therapy Putty” with Karen Miller, PTA doing the instruction and demonstration. Only requiring a few minutes a day, and with Therapy Putty being quite affordable, this is a video that those who are going through hand and finger pain or diminishing coordination should not miss.
“For someone who has arthritis this could be the best four minutes they could ever spend watching our Therapy Putty video,” remarked a spokesperson from Vive Health. “Karen is well spoken and knowledgeable and does an amazing job showing these simple hand and finger exercises. These exercises can help improve dexterity and fine motor skills, while also reducing or removing stress. They are great for physical therapy, occupational therapy and rehabbing a hand or hands after surgery.”
Vive Health offers premium quality Therapy Putty in a number of different strengths so that they can be used in a progressive way to help regain or build hand and finger strength and coordination. Free shipping is even available for orders over $39 in the United States.
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