2021
DOI: 10.1016/j.ebr.2021.100497
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Pitfalls using smartphones videos in diagnosing functional seizures

Abstract: Highlights Smartphone videos are useful cost-effective means to evaluate and characterized epileptic and nonepileptic seizures. Convulsive and motor semiologies are particularly well-suited for accurate interpretation using smartphone videos but require ictal-post-ictal separation. Patients and caregivers should be educated on optimal smartphone video recording focused on capturing the onset of the event. Long-term video-EEG monitoring r… Show more

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Cited by 5 publications
(8 citation statements)
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“…Of the 27 studies, there were 5 RCTs [ 27 - 31 ], 17 observational studies [ 32 - 48 ], and 5 case reports [ 49 - 53 ] ( Multimedia Appendix 3 [ 27 - 53 ]). In total, 22 studies were full reports in academic journals [ 27 , 28 , 30 - 34 , 36 - 39 , 41 - 45 , 47 , 48 , 50 - 53 ] and 4 were conference abstracts [ 29 , 35 , 40 , 46 ], and there was 1 doctoral thesis [ 49 ]. All the studies were published in English between 2012 and 2022.…”
Section: Resultsmentioning
confidence: 99%
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“…Of the 27 studies, there were 5 RCTs [ 27 - 31 ], 17 observational studies [ 32 - 48 ], and 5 case reports [ 49 - 53 ] ( Multimedia Appendix 3 [ 27 - 53 ]). In total, 22 studies were full reports in academic journals [ 27 , 28 , 30 - 34 , 36 - 39 , 41 - 45 , 47 , 48 , 50 - 53 ] and 4 were conference abstracts [ 29 , 35 , 40 , 46 ], and there was 1 doctoral thesis [ 49 ]. All the studies were published in English between 2012 and 2022.…”
Section: Resultsmentioning
confidence: 99%
“…In 11 studies, patient video recordings were used to support assessment and diagnosis, including the evaluation of seizures [ 41 , 43 , 44 , 50 , 52 ], gait or movement patterns [ 40 , 48 , 49 , 51 , 53 ], and dysphagia [ 45 ]. In 7 studies, video recordings were used for treatment purposes: patients with stroke or musculoskeletal disorders were video recorded during physiotherapy sessions, who then viewed the recordings to support their rehabilitation [ 28 , 29 , 49 ]; in 3 mental health studies, patients watched video recordings of themselves to enhance insight into obsessive compulsive or psychotic behaviors (“video self-confrontation”) [ 27 , 31 , 33 ]; and in a study of medication adherence, patients submitted home videos of themselves ingesting their tablets to their clinical team [ 34 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Hence, the optical characteristics of an image, such as color, luminescence, pixel counts, reflected light, and scattered light can be processed to obtain relevant information [ 13 ]. Smartphone-based optical sensors and biosensors use colorimetric [ 14 ], fluorescence [ 15 ] or bright-field imaging [ 16 ] as their detection principle; due to the complexity of this data, tools such as machine learning and deep learning are used for processing [ 12 ]. Within the biosensors that have been developed with this technology, most of them have been used for disease diagnosis [ 17 ] and point-of-care analysis [ 15 ].…”
Section: Introductionmentioning
confidence: 99%
“…Drs. Freund and Tatum focus on a case of a patient whose generalized seizures were mistaken for FS because of the video recording provided by the family captured only the post-ictal behavior [20] . This article clearly illustrates the advantages and disadvantages of the smartphone videos for the diagnosis of FS.…”
mentioning
confidence: 99%