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Detecting negative myoclonus during long-term home measurements using wearables.
Sinokki, Aku; Säisänen, Laura; Hyppönen, Jelena; Silvennoinen, Katri; Kälviäinen, Reetta; Mervaala, Esa; Karjalainen, Pasi A; Rissanen, Saara M.
Afiliación
  • Sinokki A; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: aku.sinokki@uef.fi.
  • Säisänen L; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland.
  • Hyppönen J; Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
  • Silvennoinen K; Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.
  • Kälviäinen R; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland.
  • Mervaala E; Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Full Member of ERN EpiCARE, Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
  • Karjalainen PA; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Rissanen SM; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland; Adamant Health Ltd, Kuopio, Finland.
Clin Neurophysiol ; 156: 166-174, 2023 12.
Article en En | MEDLINE | ID: mdl-37952446
OBJECTIVE: The aim of this study was to develop a feasible method for the detection of negative myoclonus (NM) through long-term home measurements in patients with progressive myoclonus epilepsy type 1. METHODS: The number and duration of silent periods (SP) associated with NM were detected during a 48 h home recording using wearable surface electromyography (EMG) sensors. RESULTS: A newly developed algorithm was able to find short (50-69 ms), intermediate (70-100 ms), and long (101- 500 ms) SPs from EMG data. Negative myoclonus assessed by the algorithm correlated significantly with the video-recorded and physician-evaluated unified myoclonus rating scale (UMRS) scores of NM and action myoclonus. Silent period duration, number, and their combination, correlated strongly and significantly also with the Singer score, which assesses functional status and ambulation. CONCLUSIONS: Negative myoclonus can be determined objectively using long-term EMG measurements in home environment. With long-term measurements, we can acquire more reliable quantified information about NM as a symptom, compared to short evaluation at the clinic. SIGNIFICANCE: As measured using SPs, NM may be a clinically useful measure for monitoring disease progression or assessing antimyoclonic drug effects objectively.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome de Unverricht-Lundborg / Dispositivos Electrónicos Vestibles / Mioclonía Límite: Humans Idioma: En Revista: Clin Neurophysiol Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome de Unverricht-Lundborg / Dispositivos Electrónicos Vestibles / Mioclonía Límite: Humans Idioma: En Revista: Clin Neurophysiol Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos