Archive for category Assistive Technology

[WEB SITE] Keep an Eye on Your Loved Ones at Home with ROSIE

By  | Jan 15, 2020

Keep an Eye on Your Loved Ones at Home with ROSIE

 

Forma SafeHome LLC announces the launch of its senior home monitoring service that aims to facilitate more prolonged in-home independence for aging-in-place seniors or the disabled.

The fall detection and health monitoring customization bundle features advanced technologies integrated into ROSIE SafeHome, an all-in-one, patent-pending app designed to provide alerts, notifications, and messages that show the user if there is any unusual activity.

The app, available for download on iTunes and Google Play, is accessible on smartphones and tablets to allow family members 24/7 access into the safety of their loved ones through the coordination of these technologies, according to the Sunrise, Fla-based company:

  • Non-intrusive fall and motion detectors
  • Kitchen and stove monitoring
  • Outdoor doorbell camera systems
  • Coming soon: medication protocol monitors and more smart home technology

“Our Rosie Home Fall detector, Rosie Home Stove/Oven monitor, and Rosie Home Doorbell Cam will give peace of mind knowing your independent family members are in a safe environment,” says Scott Daub, President, Forma SafeHome LLC, in a media release.

Rich Cohen, Forma SafeHome Advisory Board Member adds, “Through the blend of innovative and non-intrusive technology, the patent-pending app gives you real-time information about falls, safety, and life patterns via your iPhone or Android device. It is affordable and gives you peace of mind about your independent-living family members in ways never previously available.”

[Source(s): Forma SafeHome, PRWeb]

 

via Keep an Eye on Your Loved Ones at Home with ROSIE – Rehab Managment

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[VIDEO] Addison: the Virtual Caregiver on Vimeo

The Virtual Caregiver is a next generation Virtual Assistant, bringing chronic care, rehabilitation, mental health support, caregiver support, and support for daily living unlike anything you’ve ever seen. She’s Connected Health, Digital Health, IoT, AI, AR, Natural Language, and amazing UX and UI interfaces in a breakthrough user configuration. EMR integrated, health peripherals, in-home automated exams, gait and balance, fall risk assessment, and more. Addison Care is the future, today.

via Addison: the Virtual Caregiver on Vimeo

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[WEB SITE] Alexa, Bring Me My Caregiver – Rehab Managment

Alexa, Bring Me My Caregiver

 

What happens when Alexa teams up with a virtual caregiver? The healthcare community is about to find out.

Addison, described as a “virtual caregiver,” debuted last year as a prototype at the Consumer Electronics Show (CES). A lot has changed since then, however, and at the recent 2020 CES show Addison was rolled out to CES attendees sporting new features that her developer Electronic Caregiver, says have upgraded Addison to a “market ready” technology.

Who (or what) is Addison?

Addison Care is an IoT-connected residential health solution designed to perform tasks such as chronic care management, monitoring, behavioral health, rehabilitation suppor,t and continuum of care support. Addison sets up within minutes in a patient’s home and features multiple touch screens networked together with far-field microphones, health peripherals, high-quality sound, and RealSense Intel depth cameras.

The solution includes a voice-powered 3D Virtual Caregiver named Addison. Addison is displayed inside interactive, dynamic 3D scenes and can perform demonstrations, conduct patient assessments, and work with objects inside her environment, according to a news release from the Las Cruces, NM-based company.

When Addison debuted as a prototype, she demonstrated capabilities such as collecting vitals and performing medication reminders. The new features in this year’s update include the ability for health practices to manage in-office patient assessments as well as intake and outtake procedures.

“CES 2020 is a pivotal debut for us,” Electronic Caregiver CEO Anthony Dohrmann says, in the release.

“Addison is now market ready. She monitors vitals through six connected health devices. Her scenes are more capable, dynamic, and fluid. Her voice capabilities are dramatically enhanced. The entire user experience has seen a 100-fold improvement. We’ve added features for child patients, chronic care patients, behavioral health, rehabilitation, and full-network integration with health providers. One of the most exciting Virtual Assistant features Addison will present at CES is the integration of Amazon Alexa.”

For more information, visit Electronic Caregiver.

 

via Alexa, Bring Me My Caregiver – Rehab Managment

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[Abstract] An investigation into the validity and reliability of mHealth devices for counting steps in chronic stroke survivors

To investigate the validity and test–retest reliability of mHealth devices (Google Fit, Health, STEPZ, Pacer, and Fitbit Ultra) to estimate the number of steps in individuals after chronic stroke and to compare whether the measurement of the number of steps is affected by their location on the body (paretic and non-paretic side).

Observational study with repeated measures.

University laboratory.

Fifty-five community-dwelling individuals with chronic stroke.

Not applicable.

The number of steps was measured using mHealth devices (Google Fit, Health, STEPZ, Pacer, and Fitbit Ultra), and compared against criterion-standard measure during the Two-Minute Walk Test using habitual speed.

Our sample was 54.5% men, mean age of 62.5 years (SD 14.9) with a chronicity after stroke of 66.8 months (SD 55.9). There was a statistically significant association between the actual number of steps and those estimated by the Google Fit, STEPZ Iphone and Android applications, Pacer iphone and Android, and Fitbit Ultra (0.30 ⩽ r ⩾ 0.80). The Pacer iphone application demonstrated the highest reliability coefficient (ICC(2,1) = 0.80; P < 0.001). There were no statistically significant differences in device measurements that depended on body location.

mHealth devices (Pacer–iphone, Fitbit Ultra, Google Fit, and Pacer–Android) are valid and reliable for step counting in chronic stroke survivors. Body location (paretic or non-paretic side) does not affect validity or reliability of the step count metric.

via An investigation into the validity and reliability of mHealth devices for counting steps in chronic stroke survivors – Pollyana Helena Vieira Costa, Thainá Paula Dias de Jesus, Carolee Winstein, Camila Torriani-Pasin, Janaine Cunha Polese,

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[BLOG POST] Project Understood: Teaching Google To Understand People With Down Syndrome & Speech Impairment

close up of a woman

Since the inception of voice assistants like Amazon Echo and Google Home, a lot more products have voice assistants built in now – be it smartphones, headphones, various devices around the house, and even vehicles. It is estimated that by 2023 there will be 8 billion voice assistants in use!

Voice Assistants are becoming a way of life for many people. With just a simple voice command, these assistants can perform simple to complex actions – be it telling what the weather is to ordering a pizza for you. However, for people with speech impairment, using a voice assistant is not easy because of its inability to understand the person’s speech, People with Down Syndrome, for example, have a unique speech pattern that makes it difficult for voice technologies to understand them,

Why do voice assistants have trouble understanding people with speech impairments to begin with? Because today’s voice assistants are trained on what’s known as “typical speech”. There is a ton of typical speech data available for training but not enough that’s not considered typical. Because of lack of training data, voice assistants have trouble understanding people with speech impairment.

In order to change this, Google has teamed up with Canadian Down Syndrome society to make speech technology accessible for those with disabilities. Project Understood is the joint effort of CDSS and Google’s Project Euphonia that aims to get thousands of voice recordings from people with Down Syndrome to help train and improve voice technology. The project invites people with Down Syndrome or speech impairments (because of which other people cannot understand them) to donate their voices by reading and recording simple phrases that will be used tro improve Google’s system. At the time of writing this post, the project had accumulated 300 voices with a goal of 500.

Anyone over the age of 18 that has difficulties being understood by others can apply. They will be expected to have access to a computer or phone with a microphone to record their voice. They are also expected to speak English fluently. If eligible, they will receive an email from Google within 3-5 days with instructions to record voice samples. The email will also have a link to the full list of 1700 samples that can be recorded. The user doesn’t have to finish recording all of them at once but are encouraged to finish recording them over 1-2 weeks. Once recorded, Google’s engineers will process the recordings and use it to improve voice technology. For participating, each person will receive a gift card as a thank you from Google.

Watch the video below and hit the source link to learn more about Project Understood.

Source: https://projectunderstood.ca/

via Project Understood: Teaching Google To Understand People With Down Syndrome & Speech Impairment – Assistive Technology Blog

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[WEB SITE] Download The Physiopedia App Now! – Physiotherapy and Physical Therapy in the Spotlight

Download The Physiopedia App Now!

The ultimate reference tool for physiotherapists has arrived on IOS and Android!

You asked and we listened, the Physiopedia app is here and waiting for you to download this holiday season. The app is free and brings all of Physiopedia’s articles, which have been beautifully optimised for mobile, to your fingertips. Think of it as Physiopedia’s end of year gift to you.

The app is free however there is an optional, but worthwhile, low cost monthly subscription which allows you to add unlimited articles to your own personal list of favorites within the app. These bookmarked articles are then just one tap away and are also downloaded for offline viewing. Ideal for the busy clinical environment where time is short and internet access cannot be guaranteed.

One of the best free features of the app is Article of the Day where each day there is a new exciting high quality page for you to read. Perfect for a small dose of CPD or great for that inspirational spark when on the go or when waiting for patients to arrive.

Don’t just take our word for how good the app is! Below are some reviews of the app written by the physiotherapy community which explain why it is a must have for physiotherapists working in any setting.

Reviews

What an amazing app. All the information you could ever want at your fingertips and more. Each topic has links so if you want to you can investigate further. This is the best source of physio information I have come across in my quest for knowledge and answers!

I recognise this as an incredibly powerful resource. This changes how in a Low-and-Middle-Income-Countries (LAMIC) we can access current, best-practice knowledge. This allows the development of the profession globally in a consistent and reliable way… I can see this will become a regular go-to resource. Great job Physiopedia!

Clinically useful and based in science! I have been waiting for an App like this for a long time. I work both in a clinic and as a researcher and Physiopedia meets my needs in both worlds. Easy to use, cutting-edge scientific information and connects me to other health care providers around the world. Great App, highly recommend it!

The app is really easy to download from both the App Store and Google Play in fact just follow the links to the relevant store below. Once you’ve downloaded the app and had a look around don’t forget to like and leave a review.

via Download The Physiopedia App Now! – Physiospot – Physiotherapy and Physical Therapy in the Spotlight

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[BLOG POST] A Stylish Weighted Blanket – The Gravity Blanket

 

A study conducted by the Occupational Therapy in Mental Health journal revealed that 63% of subjects using a wieghted blanket reported lower anxiety and 78% preferred the weighted blanket as a calming modality than other options provided.

Weighted blankets have been found to provide comfort for many people, including people with anxiety, autism, ADHD, sensory processing disorder, PTSD, and insomnia. The comfort comes from the power of “deep touch pressure stimulation” that has been shown to increase serotonin and melatonin. These hormones are responsible for the feelings associated with relaxation, while decreasing cortisol, the hormone responsible for stress.

What’s special about The Gravity Blanket?

Although there are many weighted blanket options out there, Gravity makes a point to go beyond functionality and put additional focus on the look and feel of the blanket. Their products look more like luxury lifestyle pieces than therapy items. Their website offers a small selection of items; each with the simple and sleek design that they have come to be known for.

Gravity also has a partnership with the sleep and meditation app, Calm. The two wellness brands teamed up for a limited availability offer known as The Dream Package. The package combines a Calm-branded Gravity Blanket and a year’s subscription to the Calm app.

To learn more about The Gravity Blanket, look at the other products they offer, or compare to the Harkla Blanket that we’ve previously blogged about, you can find their website at gravityblankets.com.

via A Stylish Weighted Blanket – The Gravity Blanket – Assistive Technology Blog

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[BLOG POST] Detailed Voice Guidance In Google Maps Makes Walking For Blind People Much Easier

People with vision impairment who are also Google Maps users are in for a nice surprise! Starting October 10, which was also World Sight Day, Google announced a new update to Google Maps that will provide more detailed voice guidance and verbal announcements while walking from point A to point B.

This feature will provide a lot more confidence to blind people while navigating busy streets and areas. While walking, Google Maps will proactively tell the user if they are on the correct route, the direction the person is walking in, distance from the next turn, etc. If a person misses their turn, Google Maps will announce that it is re-routing the person. Through this detailed voice guidance, people with vision impairment can not only navigate in a “screen free” way with ease,  they can also explore places they have not been to before.

Currently, this feature is rolled out in the US and Japan in English and Japanese respectively on iOS and Android. Roll out for other languages is on the way.

Watch the following video to learn more about voice guidance in maps.

Detailed voice guidance can be turned on by going to Settings, Navigation (under walking Options)

SourceGoogle

via Detailed Voice Guidance In Google Maps Makes Walking For Blind People Much Easier – Assistive Technology Blog

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[Abstract] A systematic review of personal smart technologies used to improve outcomes in adults with acquired brain injuries

This review aimed to determine the effectiveness of personal smart technologies on outcomes in adults with acquired brain injury.

A systematic literature search was conducted on 30 May 2019. Twelve electronic databases, grey literature databases, PROSPERO, reference list and author citations were searched.

Randomised controlled trials were included if personal smart technology was used to improve independence, goal attainment/function, fatigue or quality of life in adults with acquired brain injury. Data were extracted using a bespoke form and the TIDieR checklist. Studies were graded using the PEDro scale to assess quality of reporting. Meta-analysis was conducted across four studies.

Six studies met the inclusion criteria, generating a total of 244 participants. All studies were of high quality (PEDro ⩾ 6). Interventions included personal digital assistant, smartphone app, mobile phone messaging, Neuropage and an iPad. Reporting of intervention tailoring for individual needs was inconsistent. All studies measured goal attainment/function but none measured independence or fatigue. One study (n = 42) reported a significant increase in memory-specific goal attainment (p = 0.0001) and retrospective memory function (p = 0.042) in favour of the intervention. Another study (n = 8) reported a significant increase in social participation in favour of the intervention (p = 0.01). However, our meta-analyses found no significant effect of personal smart technology on goal attainment, cognitive or psychological function.

At present, there is insufficient evidence to support the clinical benefit of personal smart technologies to improve outcomes in acquired brain injury. Researchers need to conduct more randomised studies to evaluate these interventions and measure their potential effects/harms.

 

via A systematic review of personal smart technologies used to improve outcomes in adults with acquired brain injuries – Jade Kettlewell, Roshan das Nair, Kate Radford,

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[Dissertation] New Technologies for On-Demand Hand Rehabilitation in the Living Environment after Neurologic Injury – Full Text PDF

Abstract

High-dosage rehabilitation therapy enhances neuroplasticity and motor recovery after neurologic injuries such as stroke and spinal cord injury. The optimal exercise dosage necessary to promote upper extremity (UE) recovery is unknown. However, occupational and physical therapy sessions are currently orders of magnitude too low to optimally drive recovery. Taking therapy outside of the clinic and into the living environment using sensing and computer technologies is attractive because it could result in a more cost efficient and effective way to extend therapy dosage. This dissertation developed innovative wearable sensing algorithms and a novel robotic system to enhance hand rehabilitation. We used these technologies to provide on-demand exercise in the living environment in ways not previously achieved, as well as to gain new insights into UE use and recovery after neurologic injuries.

Currently, the standard-of-practice for wearable sensing of UE movement after stroke is bimanual wrist accelerometry. While this approach has been validated as a way to monitor amount of UE activity, and has been shown to be correlated with clinical assessments, it is unclear what new information can be obtained with it. We developed two new kinematic metrics of movement quality obtainable from bimanual wrist accelerometry. Using data from stroke survivors, we applied principal component analysis to show that these metrics encode unique information compared to that typically carried by conventional clinical assessments. We presented these results in a new graphical format that facilitates the identification of limb use asymmetries.

Wrist accelerometry has the limitation that it cannot isolate functional use of the hand. Previously, we had developed a sensing system, the Manumeter, that quantifies finger movement by sensing magnetic field changes induced by movement of a ring worn on the finger, using a magnetometer array worn at the wrist. We developed, optimized, and validated a calibration-free algorithm, the “HAND” algorithm, for real-time counting of isolated, functional hand movements with the Manumeter. Using data from a robotic wrist simulator, unimpaired volunteers and stroke survivors, we showed that HAND counted movements with ~85% accuracy, missing mainly smaller, slower movements. We also showed that HAND counts correlated strongly with clinical assessments of hand function, indicating validity across a range of hand impairment levels.

To date, there have been few attempts to increase hand use and recovery of individuals with a stroke by providing real-time feedback from wearable sensors. We used HAND and the Manumeter to perform a first-of-its-kind randomized controlled trial of the effect of real-time hand movement feedback on hand use and recovery after chronic stroke. We found that real-time feedback on hand movement was ineffective in increasing hand use intensity and improving hand function. We also showed for the first time the non-linear relationship between hand capacity, measured in the laboratory, and actual hand use, measured at-home. Even people with a moderate level of clinical hand function exhibit very low hand use at home.

Finally, the challenge of improving hand function for people with moderate to severe injuries highlights the need for novel approaches to rehabilitation. One emerging technique is regenerative rehabilitation, in which regenerative therapies, such as stem cell engraftment, are coupled with intensive rehabilitation. In collaboration with the Department of Veteran Affairs Gordon Mansfield Spinal Cord Injury Translational Collaborative Consortium, we developed a robot for promoting on-demand, hand rehabilitation in a non-human primate model of hemiparetic spinal cord injury that is being used to synergize hand rehabilitation with novel regenerative therapies. Using an innovative bimanual manipulation paradigm, we show that subjects engaged with the device at a similar rate before and after injury across a range of hand impairment severity. We also demonstrate that we could shape relative use of the arm and increase the number of exercise repetitions per reward by changing parameters of the robot. We then evaluated how the peak grip force that the subjects applied to the robot decreased after SCI, demonstrating that it can serve as a potential marker of recovery.

These developments provide a foundation for future work in technologies for therapeutic movement rehabilitation in the living environment by establishing: 1) new metrics of upper extremity movement quality; 2) a validated algorithm for achieving a “pedometer for the hand” using wearable magnetometry; 3) a negative clinical trial result on the therapeutic effect of real-time hand feedback after stroke, which begs the question of what can be improved in future trials; 4) the nonlinear relationship between hand movement ability and at-home use, supporting the concept of learned non-use; and 5) the first example of robotic regenerative rehabilitation.

Download full text PDF

via New Technologies for On-Demand Hand Rehabilitation in the Living Environment after Neurologic Injury

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