Sharp Brains: Brain Fitness and Cognitive Health News

Neuroplasticity, Brain Fitness and Cognitive Health News

Icon

Next in clinical practice: Automated real-time detection of seizures via wearable EMG devices

(A) The wear­able device placed on the brachial biceps mus­cles. (B, C) The wear­able device, which is con­nect­ed to the self-adhe­sive patch, con­tain­ing the record­ing elec­trodes and the ground elec­trode. (D) Remote con­trol of the device. (Epilep­tic seizure Detec­tor Devel­oped by Ictal­Care). Cred­it: Neu­rol­o­gy.

___

Wear­able EMG Found to Detect Seizures (Neu­rol­o­gy Today):

A new study demon­strates the fea­si­bil­i­ty of using a wear­able elec­tromyo­g­ra­phy device to detect ton­ic-clonic seizures…The Neu­rol­o­gy paper was among the first to demon­strate its results prospec­tive­ly, using a pre-spec­i­fied cut-off for deter­min­ing that a GTCS is occur­ring. And at nine sec­onds, its laten­cy in doing so (from the time of onset as mea­sured by an inde­pen­dent observ­er) is also among the fastest described so far, the study authors and inde­pen­dent experts not­ed…

The new paper comes on the heels of two oth­er stud­ies on wear­able EMG for seizure detection…Altogether, they demon­strate the grow­ing fea­si­bil­i­ty of incor­po­rat­ing wear­able seizure-detec­tion devices into clin­i­cal prac­tice — both to quan­ti­fy for physi­cians how well patients are respond­ing to med­ica­tion, and to help care­givers respond quick­ly to ongo­ing seizures.

With a sen­si­tiv­i­ty of 93.8 per­cent, the device detect­ed 30 of 32 GTCS over a total record­ing time of 3,735.5 hours. The rate of false alarms was 0.67 per day, but two-thirds of the patients had no false alarms. For 24 of 71 patients (34 per­cent) who did expe­ri­ence a false alarm, the most com­mon rea­son was due to phys­i­cal exer­cise, which account­ed for 68 per­cent of all false alarms. Only two false alarms occurred dur­ing sleep.

Dr. Beniczky said the over­all rate of 0.67 false alarms per day “still needs to be improved. It’s not such a prob­lem for patients, because it hap­pens almost entire­ly dur­ing the day, so they can stop the alarm when it hap­pens. But it is not good enough if we want a tru­ly auto­mat­ic device.”

The Study

Auto­mat­ed real-time detec­tion of ton­ic-clonic seizures using a wear­able EMG device (Neu­rol­o­gy). From the abstract:

  • OBJECTIVE: To deter­mine the accu­ra­cy of auto­mat­ed detec­tion of gen­er­al­ized ton­ic-clonic seizures (GTCS) using a wear­able sur­face EMG device.
  • METHODS: We prospec­tive­ly test­ed the tech­ni­cal per­for­mance and diag­nos­tic accu­ra­cy of real-time seizure detec­tion using a wear­able sur­face EMG device. The seizure detec­tion algo­rithm and the cut­off val­ues were pre­spec­i­fied. A total of 71 patients, referred to long-term video-EEG mon­i­tor­ing, on sus­pi­cion of GTCS, were recruit­ed in 3 cen­ters. Seizure detec­tion was real-time and ful­ly auto­mat­ed. The ref­er­ence stan­dard was the eval­u­a­tion of video-EEG record­ings by trained experts, who were blind­ed to data from the device. Read­ing the seizure logs from the device was done blind­ed to all oth­er data.
  • RESULTS: The mean record­ing time per patient was 53.18 hours. Total record­ing time was 3735.5 hours, and device defi­cien­cy time was 193 hours (4.9% of the total time the device was turned on). No adverse events occurred. The sen­si­tiv­i­ty of the wear­able device was 93.8% (30 out of 32 GTCS were detect­ed). Medi­an seizure detec­tion laten­cy was 9 sec­onds (range ‑4 to 48 sec­onds). False alarm rate was 0.67/d.
  • CONCLUSIONS: The per­for­mance of the wear­able EMG device ful­filled the require­ments of patients: it detect­ed GTCS with a sen­si­tiv­i­ty exceed­ing 90% and detec­tion laten­cy with­in 30 sec­onds.
  • CLASSIFICATION OF EVIDENCE: This study pro­vides Class II evi­dence that for peo­ple with a his­to­ry of GTCS, a wear­able EMG device accu­rate­ly detects GTCS (sen­si­tiv­i­ty 93.8%, false alarm rate 0.67/d).

The Study in Context

Leave a Reply...

Loading Facebook Comments ...

Leave a Reply

Categories: Cognitive Neuroscience, Technology

Tags: , , , , , , , , , , , ,

About SharpBrains

As seen in The New York Times, The Wall Street Journal, BBC News, CNN, Reuters,  SharpBrains is an independent market research firm tracking how brain science can improve our health and our lives.

Search in our archives

Follow us and Engage via…

twitter_logo_header
RSS Feed

Watch All Recordings Now (40+ Speakers, 12+ Hours)