Posts Tagged Webinar

Life after LSVT LOUD® and LSVT BIG®: Tips to help maintain treatment gains

Join LSVT Global faculty for an informational webinar on Life after LSVT LOUD® and LSVT BIG®.

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You’ve got questions, we’ve got answers! Top 10 questions related to LSVT treatments

Join LSVT BIG and LSVT LOUD Faculty as they discuss frequently asked questions related to LSVT treatment protocols.

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You’ve got questions, we’ve got answers! Top 10 questions related to LSVT treatments

Join LSVT Global faculty for an informational webinar on the top 10 questions related to LSVT treatments.

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LSVT LOUD® and LSVT BIG® Year in Review: Research and Clinical Updates in 2020

Join LSVT BIG and LSVT LOUD Faculty as they discuss unique challenges faced by individuals with atypical or advanced Parkinsonian disorders. The presentation will include information on how LSVT BIG can improve mobility for these individuals and how treatment can be adapted to fit the unique needs often encountered in these populations.

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LSVT LOUD® y LSVT BIG®: terapia del habla, física y ocupacional basada en evidencia para la enfermedad de Parkinson

Join our LSVT LOUD faculty to learn more about LSVT LOUD (in Japanese).

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LSVT LOUD® 発話療法 パーキンソン病の人々が自らの声を周囲に伝え、 よりよい人生を生きる支えとなる

Join our LSVT LOUD faculty to learn more about LSVT LOUD (in Japanese).

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Building a database for automatic speech recognition in Parkinson’s disease

Disordered speech and voice may limit access to everyday voice activated devices (e.g., mobile phones, computers). These devices have automatic speech recognition (ASR) systems that have been trained on non-disordered speech. This makes it frustrating for individuals with speech disorders such as those accompanying Amyotropic lateral sclerosis (ALS), Down Syndrome and Parkinson’s disease (PD) to utilize these devices. Project Euphonia is an initiative by Google to make speech technology more accessible to individuals with non-standard speech. The first step in this process is to gather large numbers of speech samples from disordered speakers in order to train speech recognition systems. This paper reports initial work to collect speech data from individuals with PD to contribute to this project. 

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Improved Verb Use Following Intensive Voice Treatment in Individuals with Parkinson’s Disease

Given the role of voice in language expression, we pose that optimizing vocal function may lead to improved language production. Verbs are often impaired in individuals with PD and it is thought that damage to the motor system, given its connection action verbs, underlies this lexical effect. If this is the case, then treatment improving vocal motor function may also improve access to action verbs. Following an intensive 4-week voice treatment, individuals with PD produced fewer utterances and had decreased mean utterance length, but they also produced more words, morphemes and verbs per utterance. Thus, intervention improving vocal loudness was associated with improved verb use and production of more complex syntax in PD. 

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Enhanced Solutions for Voice and Mobility Maintenance Classes: Virtual Discoveries in PD Care!

For years, in-person group exercise classes for people with PD following LSVT LOUD and LSVT BIG treatments have been offered as a motivating way to encourage maintenance of treatment gains. During COVID-19, stay at home orders eliminated access to classes for many. This seminar will present our detour from in-person to virtual teleLOUD for LIFE and teleBIG for LIFE classes. Practical application of technology, guidelines for delivery, and feedback from participants will be presented.

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Beyond Parkinson’s: Use of Evidence-based LSVT LOUD for Other Movement Disorders, Aging and Children

This session will (a) examine how speech therapists are using an evidence-based, Parkinson’s specific treatment (LSVT LOUD) in atypical parkinsonism, other movement disorders, aging conditions and childhood/adolescent populations, and (b) explore therapists’ perceived outcomes and challenges in applying LSVT LOUD beyond Parkinson’s disease. These clinical implementation data will inform needs for future research and ongoing clinical support for therapists.

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