Archive for category Assistive Technology

[ARTICLE] The Effectiveness of Wearable Upper Limb Assistive Devices in Degenerative Neuromuscular Diseases: A Systematic Review and Meta-Analysis – Full Text


Background: This systematic review summarizes the current evidence about the effectiveness of wearable assistive technologies for upper limbs support during activities of daily living for individuals with neuromuscular diseases.

Methods: Fourteen studies have been included in the meta-analysis, involving 184 participants. All included studies compared patients ability to perform functional tasks with and without assistive devices.

Results: An overall effect size of 1.06 (95% CI = 0.76-1.36, p < 0.00001) was obtained, demonstrating that upper limbs assistive devices significantly improve the performance in activities of daily living in people with neuromuscular diseases. A significant interaction between studies evaluating functional improvement with externally-assessed outcome measures or self-perceived outcome measures has been detected. In particular, the effect size of the sub-group considering self-perceived scales was 1.38 (95% CI = 1.08-1.68), while the effect size of the other group was 0.77 (95% CI = 0.41-1.11), meaning that patients’ perceived functional gain is often higher than the functional gain detectable through clinical scales.

Conclusion: Overall, the quality of the evidence ranged from low to moderate, due to low number of studies and participants, limitations in the selection of participants and in the blindness of outcome assessors, and risk of publication bias.

Significance: A large magnitude effect and a clear dose-response gradient were found, therefore, a strong recommendation, in favor of the use of assistive devices could be suggested.


1. Introduction

1.1. Background

Severe muscular weakness and chronic disability caused by neuromuscular diseases (e.g., muscular dystrophy, spinal muscular atrophy, spinal cord injuries or stroke) or neurodegenerative diseases (i.e., multiple sclerosis, amyotrophic lateral sclerosis) lead to the unavoidable loss of the possibility to perform even simple actions, such as walking, eating, and changing limbs posture. Patients suffer the consequences in terms of independence, quality of life, and self-esteem, given their need to continuously rely on assistance from their caregivers. This is particularly true for upper limbs, where independence is not primarily linked to essential tasks (e.g., eating, drinking, get dressed), but to simple actions not necessary for survival, but which increase the quality of life (e.g., pull up the glasses, scratch, use the mouse, etc.). To independently regain a lost motor function might be therefore a special experience towards a more independent daily life. Technological advancements might be a way to compensate patients’ muscular weakness through the use of Assistive Devices (ADs), which empower the user in the execution of daily life activities, and which are designed to maintain or to improve the functional capabilities of individuals with disabilities. ADs for lower limbs, such as wheelchairs and electric wheelchairs, have been successfully developed and diffused to deal with the deambulation issue. On the other side, the support of upper limbs related activities is more challenging. However, with the increased life expectancy, upper extremities functions became more and more important to be supported. Non-ambulant patients with neuromuscular disorders identified arm functions as their highest priority, indicating repositioning at night, bring hands to mouth, shift while seated, using the wheelchair joystick and the keyboard of a computer, and personal hygiene as priority functions to be regained (Janssen et al., ). The currently existing assistive devices to support upper limbs functions can be categorized in (i) end-effector devices, and (ii) exoskeletons. As for end-effector devices, they present a single interaction point between the user and the AD, usually located at forearm or hand level. The main disadvantage of robotic manipulator devices is the impossibility to control upper limb joints directly: the change in position of the interaction point results in unexpected movements of shoulder and elbow joints. As for exoskeletons, they are external structures worn by the patient, with joints and links placed in correspondence of human joints and bones. Patients usually prefer exoskeleton solutions, given that these devices not only help to execute the desired task, but they increase the perception of a self-executed movement. In a study conducted by Rupal et al. () with 118 participants, 96.8% prefer to use an exoskeleton over other mobility aids, and 84.1% like the idea that exoskeletons should be made available in care homes (Rupal et al., ). In addition, from a survey conducted by the authors at Lignano Sabbiadoro (Italy) on June 2015, during the annual meeting of the UILDM Association (Italian Association of Muscular Dystrophy), 10 out of 15 interviewed patients affected by muscular dystrophy answered that they prefer exoskeleton solutions for possible upper limbs assistive devices. ADs driving technology can be either passive, working through pre-stored mechanical energy, or active, working with motors, and therefore able to exert greater forces or to control movements more precisely. However, even if a remarkable number of works have been published dealing with the development of innovative electromechanical technologies (e.g., Ragonesi et al., ; Jung et al., ; Dunning et al., ; Sin et al., ; Dalla Gasperina et al., ), scientific evidence for the benefits of these technologies is still lacking, which could justify costs and effort. When dealing with Assistive Devices, or in general with complex technologies, the demonstration of the effectiveness of their use is rather difficult to be demonstrated following the canonical research studies design [i.e., Randomized Control Trial (RCT) design], even if some effort in this direction is currently ongoing (Antonietti et al., ). This is due to several reasons, such as the difficulty to demonstrate the validity of the proposed approach independently from the users’ placebo effect (e.g., it is impossible to perform a blind session), the high cost of the technology and therefore the impossibility to recruit many volunteers contemporary, and the Ethical Committee procedures for non CE-marked devices. A recent systematic review on devices to assist and/or rehabilitate upper limbs made a quite large classification of different devices used, showing an intense research work towards the development of new technologies, which however are rarely methodologically properly tested, and therefore they have difficulties to effectively reach end-users (Onose et al., ). […]

Continue —-> The Effectiveness of Wearable Upper Limb Assistive Devices in Degenerative Neuromuscular Diseases: A Systematic Review and Meta-Analysis

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[WEB PAGE] 11 Brain Training Apps to Train Your Mind and Improve Memory – iPhone

Whether at work or at school, people these days are under tremendous pressure to perform, perform and perform! Stress and pressure can have adverse affects on the well-being of a person, and need to be controlled.

Now, this doesn’t mean you make a dash to your nearest therapist. There are a number of wonderful and smart apps that you can use on your phone. These brain training apps have been scientifically designed to target specific areas of the human mind and control harmful emotions such as anxiety, as well as to improve memory and sharpness of the brain.

Here are 11 iPhone apps that you will not only enjoy but also find useful in keeping your mental health balanced at all times.

1. Lumosity

This app consists of games that focus on improving the user’s memory, problem-solving capability, attention span, and thinking. There are three games in each session, and they challenge the brain by changing every time. The user has to complete the games while playing against a clock.

Free of trial. $15 per month for the full version.

Luminosity Mind training apps-Lifehack

2. Fit Brains Trainer

This brain training app has 10 sets of games that work on different areas of the brain and improve memory as well as concentration. A user is required to finish a particular task from each category on a daily basis and the app tracks the progress by a color coded graph.


Fit Brains Trainer Mind training apps-Lifehack

3. CogniFit Brain Fitness

Developed with the help of neuroscientists, this fun app improves a person’s cognitive abilities, which includes memory and concentration. The progress made by the user over a period of time can be tracked. Users can also play challenge rounds with their friends. The app also modifies the difficulty level to suit the profile of the user and provide recommendations based on the results. Spending 20–30 minutes a few times every week can give measurable improvement in the performance of a user.

First four games free, then $13 a month.

cognifit-Mind Training Apps-Lifehack

4. Brain Fitness Pro

The makers of this app claim that it can improve the IQ of a user, and improve intelligence and memory. The app is fun and is user friendly, and 30 minutes a day can fetch you results in less than three weeks.

Buy for $3.99.

5. Happify

If nothing else makes you happy in life, this app will. Well, this is what the developers claim at least. This app comes loaded with lots of quizzes, polls and gratitude journals, which work on the fundamentals of positive psychology. The app also helps to control stress and emotions to make you feel better.

Free to use.

Happify-Mind Training Apps-Lifehack

6. Clockwork Brain

You will like the little gold robot that comes in every time to explain the next game you are going to play. While the games are not much different to those offered in apps such as Luminosity, the look and feel reminds me of a workshop from old times.


Clockwork Trsin-Mind Training Apps-Lifehack

7. ReliefLink

Initially created as an app for suicide prevention, it has found its use as a great app for tracking the mood of the user by taking measure of all things relevant to the user’s mental health. In case the user experiences high emotional stress, the app has a coping mechanism that includes voice-recorded mindfulness, exercises and music for relaxation. There is also a map that informs the user of the nearest therapist and medical facilities for mental health treatment.

Relief Link - Mind Training Apps - Lifehack

8. Eidetic

Eidetic is a memory enhancement app and uses a ‘spaced repetition’ technique to help users memorize information such as important phone numbers, words, credit card details or passwords. It also notifies you when it’s time to take a test to see what you remember, so that you retain information in your long-term memory.

Eidetic - Mind Training Apps - Lifehack

9. Braingle

Braingle helps to maintain the sharpness of the brain and improve the reasoning ability of a person through riddles and optical illusions. It is different from other brain training apps that employ memory and reaction based tests. You can also compete with your friends and family members in figuring out the fun riddles.


Briangle- Mind Training Apps-LIfehack

10. Not The Hole Story

If you have a penchant for solving hard riddles, then this app is a must-have for you. Filled with exclusive riddles along with a simple-to-use interface, the app gives you riddles that you have to solve through a book. You will be given hints along the way, and when you give up, the answers will be revealed. This app will encourage you to broaden your thinking and put your mind to a challenging test.


Not the hole story - Mind Training Apps - Lifehack

11. Personal Zen

This fun brain training app follows the journey of two animated characters who travel through a field of grass. Personal Zen is a nice app meant for reducing anxiety and trains the brain to focus on the positive aspects. The developer’s advice is to use the app for 10 minutes a day to see the best results.


personal zen- mind training apps - lifehack

via 11 Brain Training Apps to Train Your Mind and Improve Memory

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[ARTICLE] In-Home Rehabilitation Using a Smartphone App Coupled With 3D Printed Functional Objects: Single-Subject Design Study – Full Text


Background: Stroke is a major cause of long-term disability. While there is potential for improvements long after stroke onset, there is little to support functional recovery across the lifespan. mHealth solutions can help fill this gap. mRehab was designed to guide individuals with stroke through a home program and provide performance feedback.

Objective: To examine if individuals with chronic stroke can use mRehab at home to improve upper limb mobility. The secondary objective was to examine if changes in limb mobility transferred to standardized clinical assessments.

Methods: mRehab consists of a smartphone coupled with 3D printed household items: mug, bowl, key, and doorknob. The smartphone custom app guides task-oriented activities and measures both time to complete an activity and quality of movement (smoothness/accuracy). It also provides performance-based feedback to aid the user in self-monitoring their performance. Task-oriented activities were categorized as (1) object transportation, (2) prehensile grip with supination/pronation, (3) fractionated finger movement, and (4) walking with object. A total of 18 individuals with stroke enrolled in the single-subject experimental design study consisting of pretesting, a 6-week mRehab home program, and posttesting. Pre- and posttesting included both in-laboratory clinical assessments and in-home mRehab recorded samples of task performance. During the home program, mRehab recorded performance data. A System Usability Scale assessed user’s perception of mRehab.

Results: A total of 16 participants completed the study and their data are presented in the results. The average days of exercise for each mRehab activity ranged from 15.93 to 21.19 days. This level of adherence was sufficient for improvements in time (t15=2.555, P=.02) and smoothness (t15=3.483, P=.003) in object transportation. Clinical assessments indicated improvements in functional performance (t15=2.675, P=.02) and hand dexterity (t15=2.629, P=.02). Participant’s perception of mRehab was positive.

Conclusions: Despite heterogeneity in participants’ use of mRehab, there were improvements in upper limb mobility. Smartphone-based portable technology can support home rehabilitation programs in chronic conditions such as stroke. The ability to record performance data from home rehabilitation offers new insights into the impact of home programs on outcomes.



Stroke is a major cause of disability, leading to restriction of occupational performance for stroke survivors [1,2]. It is estimated that 30%-60% of stroke survivors continue to have residual limitations in upper extremity movements after traditional rehabilitation services [3]. At the end of rehabilitation services, survivors are commonly given a written home exercise program to guide recovery in chronic stages of stroke [4]. Shortcomings of the written home exercise program include complaints of being unengaging and patients not continuing the program [4]. Knowing that upper limb motor deficits can reduce quality of life [5], it is important to support survivors to recover as much function as possible. Upper limb recovery after stroke is identified as a research priority by survivors of stroke, caregivers, and health professionals [6].

Research demonstrates that individuals with chronic stroke are capable of making gains in performance with continued practice. The research so far has focused on interventions led by therapists [7,8]. It is improbable that direct oversight by a therapist is a feasible solution for long-term recovery. For chronic conditions such as stroke, better supporting the individual’s ability to self-manage their long-term recovery could offer a more sustainable approach. Use of mHealth (ie, mobile technology to manage health) offers the opportunity for individuals to engage in rehabilitative activities while monitoring their performance and managing their health behaviors [9,10]. mHealth apps can assist users in meeting basic needs, thereby giving a sense of autonomy and competence [11]. In addition, participants have reported that it is enjoyable to use apps [12]. Smart devices are equipped with interactive components (eg, sensors, cameras, speakers, and vibrators) capable of measuring human movement and providing feedback [13]. Readily available smartphone technology can be the basis of a home rehabilitation system.

There has been an increase in app development for stroke rehabilitation. A review of apps designed for stroke survivors or their caregivers found that 62% of apps addressed language or communication [14]. Other apps addressed stroke risk calculation, identifying acute stroke, atrial fibrillation, direction to emergency room or nearest certified stroke center, visual attention therapy, and a mere 4% addressed physical rehabilitation [14]. Importantly, apps for rehabilitation did not focus on upper limb function [14]. Use of technology to guide and measure performance in task-specific training of the upper extremity after stroke has primarily included clinical or laboratory-based interventions [15,16]. Task-specific programs are function based, with practice of tasks relevant to activities of daily life, and have been shown to be efficacious [17,18]. Use of instrumented objects in a laboratory setting has resulted in patients reporting they enjoyed the experience [15]. There has been less research on the use of portable technology for upper limb rehabilitation in a home setting for individuals with chronic arm/hand deficits after stroke.

Previous Work

mRehab (mobile Rehab) was created to better support in-home upper limb rehabilitation programs (Figure 1) [13]. It incorporates a task-oriented approach and immediate performance-based feedback. Exercise programs that include feedback have resulted in better outcomes compared with programs without feedback [19,20]. mRehab consists of 3D printed household objects (a mug, bowl, key, and doorknob) integrated with a smartphone and an app. The app guides participants through practice of activities of daily living, for example, sipping from a mug. It can also consistently measure time to complete an activity and quality of movement (smoothness/accuracy) during the performance of activities of daily living. The system is described in more detail in previous articles that have evaluated it in primarily laboratory-based settings [13,21].

Figure 1. In-home use of mRehab: (A) selecting an activity in mRehab; (B) turning key activity; and (C) vertical mug transfer activity.

There is little information on in-home use of technology for rehabilitation in chronic stroke. While technology-based systems designed for rehabilitation have been developed, they have typically been examined in laboratory or clinical settings [22,23]. The results of this study will provide much needed evidence of the ability of individuals with chronic stroke to use technology in a home-based program with oversight only upon request. This mimics clinical practice, in which patients are discharged from rehabilitation with a home program and then need to self-manage their recovery. We examine the individual’s adherence to exercise and if they required support with the technology. The impact of the home-based mRehab program on functional mobility was also examined. While individuals with chronic stroke were selected for the first examination of mRehab in a home-based setting, the system has the potential to be used by individuals that have arm/hand deficits due to other underlying pathology.[…]

Continue —-> JMU – In-Home Rehabilitation Using a Smartphone App Coupled With 3D Printed Functional Objects: Single-Subject Design Study | Langan | JMIR mHealth and uHealth

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Mobile Measures is a mobile app that offers physical therapists and other providers access to outcome performance measures that assess fall risk, risk of hospitalization, frailty, and more. The app guides users to the best test for more than 40 different patient populations, calculates scores automatically, offers immediate interpretation of the results using the most up-to-date research, and shares results via email to enhance documentation and improve communication. With Mobile Measures, users can visualize the impact of their patient’s condition, track progress, and determine the effectiveness of treatments directly at the point of care, while improving efficiency. Mobile Measures is available on the App Store and Google Play. A free trial is available.

via PHYSICAL THERAPY MEASUREMENT APP | Lower Extremity Review Magazine

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[WEB PAGE] Wearable-tech glove translates sign language into speech in real time: The device is inexpensive, flexible and highly durable

Date: June 29, 2020

Summary: Bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time though a smartphone app. The system includes a pair of gloves with thin, stretchable sensors that run the length of each of the five fingers. These sensors, made from electrically conducting yarns, pick up hand motions and finger placements that stand for individual letters, numbers, words and phrases.


UCLA bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time though a smartphone app. Their research is published in the journal Nature Electronics.

“Our hope is that this opens up an easy way for people who use sign language to communicate directly with non-signers without needing someone else to translate for them,” said Jun Chen, an assistant professor of bioengineering at the UCLA Samueli School of Engineering and the principal investigator on the research. “In addition, we hope it can help more people learn sign language themselves.”

The system includes a pair of gloves with thin, stretchable sensors that run the length of each of the five fingers. These sensors, made from electrically conducting yarns, pick up hand motions and finger placements that stand for individual letters, numbers, words and phrases.

The device then turns the finger movements into electrical signals, which are sent to a dollar-coin-sized circuit board worn on the wrist. The board transmits those signals wirelessly to a smartphone that translates them into spoken words at the rate of about a one word per second.

The researchers also added adhesive sensors to testers’ faces — in between their eyebrows and on one side of their mouths — to capture facial expressions that are a part of American Sign Language.

Previous wearable systems that offered translation from American Sign Language were limited by bulky and heavy device designs or were uncomfortable to wear, Chen said.

The device developed by the UCLA team is made from lightweight and inexpensive but long-lasting, stretchable polymers. The electronic sensors are also very flexible and inexpensive.

In testing the device, the researchers worked with four people who are deaf and use American Sign Language. The wearers repeated each hand gesture 15 times. A custom machine-learning algorithm turned these gestures into the letters, numbers and words they represented. The system recognized 660 signs, including each letter of the alphabet and numbers 0 through 9.

via Wearable-tech glove translates sign language into speech in real time: The device is inexpensive, flexible and highly durable — ScienceDaily

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[WEB PAGE] Stay Mobile with the New myRehabMedical App

Stay Mobile with the New myRehabMedical App


Rehab Medical, Indianapolis, launches myRehabMedical. Available on both Android and Apple devices, the app provides customers with instant access to order updates, service requests, contact information, live chats, and product tutorials.

“Rehab Medical has a mission to improve lives, and one way we intend to accomplish this is through innovation and the use of technology,” President Kevin Gearheart says, in a media release. “This app provides our patients with a number of tools and options that will make the patient experience second to none.”

Additional app features such as live chats, virtual service support, and mobility-focused content designed to connect those within the complex rehab community will be introduced in the coming months. The app is also HIPPA compliant, requiring multi-factor identification to protect customer information.

“This organization has made a strong commitment to be our industry leader in technology, and this app is proof of that commitment,” Chief Technology Officer Kenny Hicks comments. “We’ve implemented a robust road map for improving our technology. Soon we will be launching additional features to this app, as well as adding new technology to help both our patients and partners.”

Related Content:
Rehab Medical Acquires Mobility Specialists
Rehab Medical Rises to No 12 Among Indiana’s Top 25
Rehab Medical Named One of Indiana’s Best Places to Work

From the initial launch, customers will have a complete listing of all their orders along with a brief overview of the order once they complete registration. A comprehensive library of training videos will also provide tips and tricks on how to get the most out of their equipment.

The myRehabMedical app is now available for download in both the Google Play Store and the Apple Store, as well as online via the web.

For more information, visit Rehab Medical.

[Source: Rehab Medical]

via Stay Mobile with the New myRehabMedical App – Rehab Managment

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[WEB PAGE] Get ‘Connect’-ed to Rehab the Hands and Arms Post-Stroke

Get ‘Connect’-ed to Rehab the Hands and Arms Post-Stroke

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.

Connect is now available on the Apple App Store and on Google Play.

[Source(s): Neofect, Business Wire]

via Get ‘Connect’-ed to Rehab the Hands and Arms Post-Stroke – Rehab Managment

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[WEB PAGE] The (Almost) Psychic Wheelchair – Rehab Managment

The (Almost) Psychic Wheelchair

What if a wheelchair could sense collisions and dangerous drop offs before its user knew there were there? The world is about to find out.

New to the marketplace is Nashville, Tenn-based LUCI, whose premiere product, also named LUCI, is a hardware and software platform that uses sensor-fusion technologies to allow a power wheelchair to “see” its environment.

Once mounted onto a power wheelchair between the power base and the seat, LUCI aims to help users avoid collisions and dangerous drop-offs while maintaining personalized driving control. Through cloud-based capabilities, LUCI can also monitor and alert users and caregivers of low battery, possible tipping scenarios, and other important updates regarding the chair and the user.

“Wheelchair users were left behind when it comes to most innovative technology,” says Barry Dean, CEO and Founder of LUCI. Dean is also a Grammy-nominated songwriter, and his daughter Katherine, 19, has cerebral palsy and has used a wheelchair her whole life.

“We realized no one else was working on this problem in a meaningful way, so my brother Jered [Dean, CTO of LUCI] and I set out to create a solution for Katherine,” he says, in a media release.

[Related: “Power to the People!” offers the latest tips for evaluating and fitting a power wheelchair]

“What started as a labor of love among family members has ultimately created a safer, more stable way for people with disabilities to navigate their world and stay connected to loved ones. Today, we’re excited to launch LUCI and continue collaborating with researchers, universities and other companies using our open platform to move the industry forward together,” he adds.

The LUCI team spent the past two and half years collaborating with clinical professionals and logging over 25,000 hours of user testing to develop an invention to help people with physical disabilities drive safely, precisely and independently. LUCI’s R&D efforts have already resulted in a total of 16 patents (eight pending).

“When we started tinkering with my niece Katherine’s chair, we had no idea where this journey would lead,” says Jered Dean, CTO, who has spent 2 decades in design and systems engineering, most recently serving as director of the Colorado School of Mines’s Capstone Design@Mines program.

“From developing advancements in millimeter-wave radar technology to collaborating with engineering leaders from Intel RealSense Technology Group to maximize the application of some of the world’s smartest cameras, I’m incredibly proud of the unprecedented work our team has accomplished to solve the challenges our customers face,” he continues, in the release.

“LUCI leverages Intel RealSense to map the world in a low-power, cost-effective way to make drop-off protection and collision avoidance possible, and we’re excited to be a part of this inspirational effort to deliver innovation that improves lives,” says Joel Hagberg, head of product management and marketing, Intel RealSense Group

LUCI’s technology combines stereovision, infrared, ultrasonic and radar sensors to offer users these critical features, per the release:

  • Collision avoidance: LUCI is designed to prevent wheelchair users from running into objects (walls, people, pets, furniture, etc) as they navigate their daily lives. It does this by smoothly helping to navigate the chair in coordination with user steering inputs based on obstacle detection in the driver’s surroundings.
  • Drop-off protection: It doesn’t take a large drop-off to tip a wheelchair (less than 3 inches in some cases). LUCI helps users avoid tipping by recognizing steps or drop-offs and smoothly helping the chair continue on a safer path.
  • Anti-tipping alert system: LUCI monitors the steepness of a ramp or the ground users are driving on and provides an audible alert if it becomes a tipping danger. In the event that a chair tips over, LUCI sounds an alarm and can be configured to quickly alert other individuals, such as a caregiver or loved one, of the exact location of the rider and the tipped chair.
  • Cloud-based communications and alerts: The MyLUCI portal allows users to view their data and share it with loved ones or clinicians. LUCI can be set up to alert others of specific events, such as the user’s location if their battery gets dangerously low. LUCI also now works with Hey Google and Amazon Alexa so users can interact with MyLUCI using their voice. MyLUCI portal is available as a mobile app for both iOS and Android phones, as well as for desktop with the Web Portal.
  • Secure health monitoring: LUCI users can choose to share their heart rate data with their team using either Google Fit or Apple HealthKit from day one.

[Source: LUCI]

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[WEB PAGE] Wheelchair User Pro Tips That Will Make Life Easier – Rehab Managment

Wheelchair User Pro Tips That Will Make Life Easier

Pro Tips is an easy-to-read online resource provided by Numotion that is packed with techniques and advice that make daily living easier for mobility users. These helpful tips are based on real-life experiences that Numotion mobility professionals have brought back from the field and are of value to wheelchair users at every level.

This resource is also designed to grow and expand as new mobility technologies emerge and techniques for independent living develop. Some of the 17 topics that Pro Tips currently explore includes:

  • Grocery shopping
  • Doing laundry
  • Cooking in the kitchen
  • Bladder control
  • Pressure relief
  • Opening and closing doors in the home in a power wheelchair

Click here to discover all 17 Pro Tips at

Also from Numotion: Recommending a power wheelchair? Click to get this free download that covers the basics and beyond: Getting Power Chair Documentation Just Right.

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[BLOG POST] Google Maps Will Now Show Wheelchair Accessible Places

There’s good news for wheelchair users. On May 21, Global Accessibility Awareness Day, Google announced that Google Maps will now show places that are wheelchair accessible, and users will be able to find such places effortlessly without taking any extra steps. All they have to do is turn on the “Accessible Places” feature in their settings.

With this setting turned on, Google Maps will show a wheelchair icon next to places and users will be able to get more details as well like whether the place has wheelchair accessible entrance, parking lot, elevator, restroom, and seating. Such information is typically added by other guests to these locations. Android users have been doing this for a long time and very soon iOS users will be able to add this information too.

Watch the short video below to learn more about this feature.

Source: Google

via Google Maps Will Now Show Wheelchair Accessible Places – Assistive Technology Blog


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