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1.
Front Public Health ; 11: 1227748, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37808976

RESUMO

Objectives: The motor disability due to stroke compromises the autonomy of patients and caregivers. To support autonomy and other personal and social needs, trustworthy, multifunctional, adaptive, and interactive assistive devices represent optimal solutions. To fulfill this aim, an artificial intelligence system named MAIA would aim to interpret users' intentions and translate them into actions performed by assistive devices. Analyzing their perspectives is essential to develop the MAIA system operating in harmony with patients' and caregivers' needs as much as possible. Methods: Post-stroke patients and caregivers were interviewed to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs. Interview transcripts were analyzed using inductive thematic analysis. Results: Sixteen interviews were conducted with 12 post-stroke patients and four caregivers. Three themes emerged: (1) Needs to be satisfied, (2) MAIA technology acceptance, and (3) Perceived trustfulness. Overall, patients are seeking rehabilitative technology, contrary to caregivers needing assistive technology to help them daily. An easy-to-use and ergonomic technology is preferable. However, a few participants trust a system based on artificial intelligence. Conclusion: An interactive artificial intelligence technology could help post-stroke patients and their caregivers to restore motor autonomy. The insights from participants to develop the system depends on their motor ability and the role of patients or caregiver. Although technology grows exponentially, more efforts are needed to strengthen people's trust in advanced technology.


Assuntos
Pessoas com Deficiência , Transtornos Motores , Acidente Vascular Cerebral , Humanos , Cuidadores , Inteligência Artificial , Qualidade de Vida
3.
Trials ; 22(1): 24, 2021 Jan 06.
Artigo em Inglês | MEDLINE | ID: mdl-33407787

RESUMO

BACKGROUND: Left hemispatial neglect (LHN) is a neuropsychological syndrome often associated with right hemispheric stroke. Patients with LHN have difficulties in attending, responding, and consciously representing the right side of space. Various rehabilitation protocols have been proposed to reduce clinical symptoms related to LHN, using cognitive treatments, or on non-invasive brain stimulation. However, evidence of their benefit is still lacking; in particular, only a few studies focused on the efficacy of combining different approaches in the same patient. METHODS: In the present study, we present the SMART ATLAS trial (Stimolazione MAgnetica Ripetitiva Transcranica nell'ATtenzione LAteralizzata dopo Stroke), a multicenter, randomized, controlled trial with pre-test (baseline), post-test, and 12 weeks follow-up assessments based on a novel rehabilitation protocol based on the combination of brain stimulation and standard cognitive treatment. In particular, we will compare the efficacy of inhibitory repetitive-transcranial magnetic stimulation (r-TMS), applied over the left intact parietal cortex of LHN patients, followed by visual scanning treatment, in comparison with a placebo stimulation (SHAM control) followed by the same visual scanning treatment, on visuospatial symptoms and neurophysiological parameters of LHN in a population of stroke patients. DISCUSSION: Our trial results may provide scientific evidence of a new, relatively low-cost rehabilitation protocol for the treatment of LHN. TRIAL REGISTRATION: ClinicalTrials.gov NCT04080999 . Registered on September 2019.


Assuntos
Transtornos da Percepção , Reabilitação do Acidente Vascular Cerebral , Acidente Vascular Cerebral , Sintomas Comportamentais , Cognição , Humanos , Estudos Multicêntricos como Assunto , Transtornos da Percepção/diagnóstico , Transtornos da Percepção/etiologia , Transtornos da Percepção/terapia , Ensaios Clínicos Controlados Aleatórios como Assunto , Acidente Vascular Cerebral/complicações , Acidente Vascular Cerebral/diagnóstico , Acidente Vascular Cerebral/terapia , Estimulação Magnética Transcraniana , Resultado do Tratamento
4.
Arch Phys Med Rehabil ; 99(3): 477-483, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-28890380

RESUMO

OBJECTIVE: To investigate whether oldest-old age (≥85y) is an independent predictor of exclusion from stroke rehabilitation. DESIGN: Retrospective cohort study. SETTING: Stroke unit (SU) of a tertiary hospital. PARTICIPANTS: Elderly patients (N=1055; aged 65-74y, n=230; aged 75-84y, n=432; aged ≥85y, n=393) who, between 2009 and 2012, were admitted to the SU with acute stroke and evaluated by a multiprofessional team for access to rehabilitation. The study excluded patients for whom rehabilitation was unnecessary or inappropriate. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Access to an early mobilization (EM) protocol during SU stay and subsequent access to postacute rehabilitation after SU discharge. Analyses were adjusted for prestroke and stroke-related characteristics. RESULTS: 32.2% of patients were excluded from EM. Multivariable-adjusted odds ratios (ORs) of EM exclusion were 1.30 (95% confidence interval [CI], .76-2.21) for ages 75 to 84 years and 2.07 (95% CI, 1.19-3.59) for ages ≥85 years compared with ages 65 to 74 years. Of 656 patients admitted to EM and who, at SU discharge, had not yet fully recovered their prestroke functional status, 18.4% were excluded from postacute rehabilitation. For patients able to walk unassisted at SU discharge, the probability of exclusion did not change across age groups. For patients unable to walk unassisted at SU discharge, ORs of exclusion from postacute rehabilitation were 3.74 (95% CI, 1.26-11.13) for ages 75 to 84 years and 9.15 (95% CI, 3.05-27.46) for ages ≥85 years compared with ages 65 to 74 years. CONCLUSIONS: Oldest-old age is an independent predictor of exclusion from stroke rehabilitation.


Assuntos
Fatores Etários , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Seleção de Pacientes , Reabilitação do Acidente Vascular Cerebral/estatística & dados numéricos , Cuidados Semi-Intensivos/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Análise Multivariada , Razão de Chances , Estudos Retrospectivos , Fatores de Risco
5.
J Neurol ; 258(7): 1281-7, 2011 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-21286740

RESUMO

Exercise therapy (ET) can be beneficial in disabled multiple sclerosis (MS) patients. Intermittent transcranial magnetic theta burst stimulation (iTBS) induces long-term excitability changes of the cerebral cortex and may ameliorate spasticity in MS. We investigated whether the combination of iTBS and a program of ET can improve motor disability in MS patients. In a double-blind, sham-controlled trial, 30 participants were randomized to three different interventions: iTBS plus ET, sham stimulation plus ET, and iTBS alone. Before and after 2 weeks of treatment, measures of spasticity through the modified Ashworth scale (MAS) and the 88 items Multiple Sclerosis Spasticity Score questionnaire (MSSS-88), fatigue through the Fatigue Severity Scale (FSS), daily living activities (ADL) through the Barthel index and health-related quality of life (HRQoL) through the 54 items Multiple Sclerosis Quality of life inventory (MSQoL-54) were collected. iTBS plus ET reduced MAS, MSSS-88, FSS scores, while in the Barthel index and MSQoL-54, physical composite scores were increased. iTBS alone caused a reduction of the MAS score, while none of the measured scales showed significant changes after sham iTBS plus ET. iTBS associated with ET is a promising tool for motor rehabilitation of MS patients.


Assuntos
Terapia por Exercício/métodos , Esclerose Múltipla/reabilitação , Esclerose Múltipla/terapia , Estimulação Magnética Transcraniana/métodos , Adulto , Avaliação da Deficiência , Método Duplo-Cego , Potencial Evocado Motor/fisiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Esclerose Múltipla/fisiopatologia , Amplitude de Movimento Articular/fisiologia , Índice de Gravidade de Doença , Estatísticas não Paramétricas , Fatores de Tempo
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