Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120314401> ?p ?o ?g. }
- W3120314401 endingPage "291" @default.
- W3120314401 startingPage "291" @default.
- W3120314401 abstract "Resting tremor in Parkinson’s disease (PD) is one of the most distinctive motor symptoms. Appropriate symptom monitoring can help to improve management and medical treatments and improve the patients’ quality of life. Currently, tremor is evaluated by physical examinations during clinical appointments; however, this method could be subjective and does not represent the full spectrum of the symptom in the patients’ daily lives. In recent years, sensor-based systems have been used to obtain objective information about the disease. However, most of these systems require the use of multiple devices, which makes it difficult to use them in an ambulatory setting. This paper presents a novel approach to evaluate the amplitude and constancy of resting tremor using triaxial accelerometers from consumer smartwatches and multitask classification models. These approaches are used to develop a system for an automated and accurate symptom assessment without interfering with the patients’ daily lives. Results show a high agreement between the amplitude and constancy measurements obtained from the smartwatch in comparison with those obtained in a clinical assessment. This indicates that consumer smartwatches in combination with multitask convolutional neural networks are suitable for providing accurate and relevant information about tremor in patients in the early stages of the disease, which can contribute to the improvement of PD clinical evaluation, early detection of the disease, and continuous monitoring." @default.
- W3120314401 created "2021-01-18" @default.
- W3120314401 creator A5013314171 @default.
- W3120314401 creator A5021140252 @default.
- W3120314401 creator A5038867743 @default.
- W3120314401 creator A5057009989 @default.
- W3120314401 creator A5062724436 @default.
- W3120314401 creator A5063536469 @default.
- W3120314401 creator A5079537650 @default.
- W3120314401 creator A5083227591 @default.
- W3120314401 date "2021-01-04" @default.
- W3120314401 modified "2023-10-16" @default.
- W3120314401 title "Automatic Resting Tremor Assessment in Parkinson’s Disease Using Smartwatches and Multitask Convolutional Neural Networks" @default.
- W3120314401 cites W1070793310 @default.
- W3120314401 cites W1492555660 @default.
- W3120314401 cites W1766416546 @default.
- W3120314401 cites W1918508591 @default.
- W3120314401 cites W1969192849 @default.
- W3120314401 cites W1973811412 @default.
- W3120314401 cites W1988790447 @default.
- W3120314401 cites W2008560062 @default.
- W3120314401 cites W2010776141 @default.
- W3120314401 cites W2026608597 @default.
- W3120314401 cites W2064675550 @default.
- W3120314401 cites W2081557232 @default.
- W3120314401 cites W2094523840 @default.
- W3120314401 cites W2097791550 @default.
- W3120314401 cites W2104033295 @default.
- W3120314401 cites W2108798814 @default.
- W3120314401 cites W2125648709 @default.
- W3120314401 cites W2129135333 @default.
- W3120314401 cites W2131661869 @default.
- W3120314401 cites W2136259449 @default.
- W3120314401 cites W2140978740 @default.
- W3120314401 cites W2142430469 @default.
- W3120314401 cites W2145954079 @default.
- W3120314401 cites W2148764702 @default.
- W3120314401 cites W2149371320 @default.
- W3120314401 cites W2152276356 @default.
- W3120314401 cites W2155712813 @default.
- W3120314401 cites W2155875767 @default.
- W3120314401 cites W2157825442 @default.
- W3120314401 cites W2159209410 @default.
- W3120314401 cites W2161988018 @default.
- W3120314401 cites W2162592883 @default.
- W3120314401 cites W2204862550 @default.
- W3120314401 cites W2266982813 @default.
- W3120314401 cites W2317190231 @default.
- W3120314401 cites W2338098301 @default.
- W3120314401 cites W2338565696 @default.
- W3120314401 cites W2340024377 @default.
- W3120314401 cites W2341126336 @default.
- W3120314401 cites W2395784021 @default.
- W3120314401 cites W2401820359 @default.
- W3120314401 cites W2412822360 @default.
- W3120314401 cites W2464977649 @default.
- W3120314401 cites W2500368946 @default.
- W3120314401 cites W2515393314 @default.
- W3120314401 cites W2516369933 @default.
- W3120314401 cites W2540590185 @default.
- W3120314401 cites W2562437049 @default.
- W3120314401 cites W2577807847 @default.
- W3120314401 cites W2584311212 @default.
- W3120314401 cites W2610024937 @default.
- W3120314401 cites W2617101605 @default.
- W3120314401 cites W2736191430 @default.
- W3120314401 cites W2751480770 @default.
- W3120314401 cites W2753561917 @default.
- W3120314401 cites W2763160983 @default.
- W3120314401 cites W2773912019 @default.
- W3120314401 cites W2791610804 @default.
- W3120314401 cites W2791752902 @default.
- W3120314401 cites W2802868615 @default.
- W3120314401 cites W2808514730 @default.
- W3120314401 cites W2893814198 @default.
- W3120314401 cites W2899932991 @default.
- W3120314401 cites W2911964244 @default.
- W3120314401 cites W2935759912 @default.
- W3120314401 cites W2959224397 @default.
- W3120314401 cites W2966046576 @default.
- W3120314401 cites W2975502227 @default.
- W3120314401 cites W2999749474 @default.
- W3120314401 cites W3015767423 @default.
- W3120314401 cites W3023416119 @default.
- W3120314401 cites W3037027904 @default.
- W3120314401 cites W3043128363 @default.
- W3120314401 cites W3093155618 @default.
- W3120314401 cites W4211151576 @default.
- W3120314401 cites W4239510810 @default.
- W3120314401 cites W2516006713 @default.
- W3120314401 doi "https://doi.org/10.3390/s21010291" @default.
- W3120314401 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7794726" @default.
- W3120314401 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33406692" @default.
- W3120314401 hasPublicationYear "2021" @default.
- W3120314401 type Work @default.
- W3120314401 sameAs 3120314401 @default.
- W3120314401 citedByCount "33" @default.
- W3120314401 countsByYear W31203144012021 @default.