Join LSVT BIG faculty as they discuss how increasing amplitude through LSVT BIG treatment can be used to help individuals with Parkinson’s disease improve fine motor skills such as buttoning and handwriting, typing, and more.
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Join LSVT Global Faculty as they discuss the key treatment concepts shared by the LSVT programs, what the treatments look like, and highlights of published research data.
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Join LSVT BIG faculty as they provide guidance on how to collaborate as a therapy team to comprehensively meet the individual needs of your clients while still respecting each discipline’s scope of practice.
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Join LSVT BIG and LSVT LOUD Faculty as they discuss research studies and clinical cases on LSVT treatments applied to individuals with a diagnosis other than PD and how the clinical assessment can help determine if LSVT LOUD or LSVT BIG may be appropriate for select clients on your caseload.
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Join LSVT BIG and LSVT LOUD Faculty as they discuss frequently asked questions related to LSVT treatment protocols.
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Join LSVT BIG and LSVT LOUD Faculty as they discuss frequently asked questions related to LSVT treatment protocols.
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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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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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