LINAMARA RIZZO BATTISTELLA
Projetos de Pesquisa
Unidades Organizacionais
Departamento de MedicinaLegal, Ética Médica e Medicina Social e do Trabalho, Faculdade de Medicina - Docente
Instituto de Medicina Física e de Reabilitação, Hospital das Clínicas, Faculdade de Medicina
FMUSP, Hospital das Clínicas, Faculdade de Medicina
LIM/40 - Laboratório de Imunohematologia e Hematologia Forense, Hospital das Clínicas, Faculdade de Medicina - Líder
Instituto de Medicina Física e de Reabilitação, Hospital das Clínicas, Faculdade de Medicina
FMUSP, Hospital das Clínicas, Faculdade de Medicina
LIM/40 - Laboratório de Imunohematologia e Hematologia Forense, Hospital das Clínicas, Faculdade de Medicina - Líder
6 resultados
Resultados de Busca
Agora exibindo 1 - 6 de 6
conferenceObject Rehabilitation in lung cancer(2013) BRITO, C. M. M.; ALMEIDA, E. M. P. de; SAUL, M.; CECATTO, R. B.; ANDRADE, R. G.; IMAMURA, M.; BATTISTELLA, L. R.- Monitoring heart rate variability on-line used mobile telephone 3G e-health service oriented(2013) GOROSO, D. G.; SILVA, R. R. da; BATTISTELLA, L. R.; ODSTRCIL, M.; PAOLINI, M.We are living an epidemic of cardiovascular and cerebrovascular diseases that have led to many researchers worldwide increase their technical studies and methods of identification, diagnosis and treatment. Moreover, risk estimate based on factors such as age, sex, blood pressure, smoking, and lipid levels is still incomplete and depend on interest of subject by going to the hospital to do lab tests. The Brazilian experience that recorded each year over 90.000 deaths caused by cardiovascular and cerebrovascular diseases, only in 2008 the Unified Health System log about 200.000 hospitalizations, which resulted in an approximate cost of $ 180 million public resource. In addition, this is responsible for approximately 40% of early retirements and leading cause of disability in the age group above 50 years. Following the premise that ""The best cure is prevention"", this work seeks to provide a mobile tool to prevent early cardiac arrhythmia by means of monitoring on-line and assessing heart rate variability. Preliminary results proved effective in Sao Paulo for study of heart rate variability. This new service uses mobile phone to record, evaluate and transmit information, which currently is in clinical validation.
conferenceObject Knowledge Discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: A case study(2016) MORETTI, Caio Benatti; JOAQUIM, Ricardo C.; TERRANOVA, Thais T.; BATTISTELLA, Linamara R.; MAZZOLENI, Stefano; CAURIN, Glauco A. P.Aiming to perform an extraction of features which are strongly related to hemiparesis, this work describes a case study involving the efforts of patients in upper-limb rehabilitation, diagnosed with such pathology. Expressed as data (kinematic and dynamic measures), patients' performance were sensed and stored by a single InMotion Arm robotic device for further analysis. It was applied a Knowledge Discovery roadmap over collected data in order to preprocess, transform and perform data mining through machine learning methods. Our efforts culminated in a pattern classification with the abilty to distinguish hemiparetic sides with an accuracy rate of 94%, having 8 features of rehabilitation performance feeding the input. Interpreting the obtained feature structure, it was observed that force-related attributes are more significant to the composition of the extracted pattern.- Decentralizing Rehabilitation: Using Blockchain to Store Exoskeletons' Movement(2019) SILVA, Daniela America da; LELIS, Claudio Augusto Silveira; COURA, Luiz Henrique; SANTOS, Samara Cardoso dos; YANAGUYA, Leticia; OZORIO JUNIOR, Jose Crisostomo; TIBURCIO, Isaias da Silva; GONCALVES, Gildarcio Sousa; FONSECA, Breslei Max Reis da; NASCIMENTO, Alexandre; MARQUES, Johnny Cardoso; DIAS, Luiz Alberto Vieira; CUNHA, Adilson Marques da; TASINAFFO, Paulo Marcelo; TERRANOVA, Thais Tavares; SIMIS, Marcel; CASTRO, Pedro Claudio Gonsales de; BATTISTELLA, Linamara Rizzo
- Accuracy and precision of smartwatch for patient monitoring in Out-of-Hospital environment(2023) BIN, Kaio Jia; PRETTO, Lucas Ramos De; SANCHEZ, Fabio Beltrame; BATTISTELLA, Linamara RizzoBackground: Smart watches are already capable of monitoring vital signs such as heart rate and oxygen saturation, however their numerical results can often confuse lay patients, especially the elderly. What would the accuracy results look like if the results were presented in a binary system of normal and abnormal? Aim: Evaluate the accuracy, precision and recall of the results obtained from the perspective of a lay patient. Methods: A single-centre prospective study was carried out, following 80 volunteers in a clinical trial 24 weeks each, accuracy and precision of the equipment under out-of-hospital conditions were evaluated to simulate remote home monitoring. Results: In 35 weeks of clinical study, heartbeat and oxygen saturation was collected from smartwatch and gold standard device simultaneously for 80 volunteers to determine accuracy and precision. Those data were evaluated from the perspective of normal and abnormal and presents a accuracy, precision and recall of 97%, 99% and 97% respectively for heart rate, and 77%, 94% and 81% respectively for oxygen saturation. Conclusion: Based on the results obtained, considering a home environment for layman use, the smartwatch used in this study can provide high accuracy, precision and recall for heart rate and oxygen saturation.
conferenceObject Guidelines on rehabilitation in breast cancer-related lymphedema(2013) SAUL, M.; BRITO, C. M. M.; LOURENCAO, M. I. P.; BAZAN, M.; OTSUBO, P.; IMAMURA, M.; BATTISTELLA, L. R.