Wearables in real life: A qualitative study of experiences of people with epilepsy who use home seizure monitoring devices.

OBJECTIVE: To explore the experiences of people with epilepsy using wearables for home seizure monitoring. METHODS: Nine people with epilepsy participated in eighteen semistructured individual interviews before and after home monitoring with wearable seizure monitoring equipment. An open-ended interview guide was used to encourage the participants to elaborate on their thoughts and experiences. Interviews were analyzed using a three-level process inspired by the philosopher Max van Manen. RESULTS: The overall findings illustrate that patients experienced being placed in the spotlight when wearing wearables. The meaning of being in this spotlight is reflected in three themes: Becoming vulnerable through exposure, Standing alone while being with others, and Having a renewed life situation. The analysis and interpretation showed that although the participants expressed readiness to use the wearables, they were less willing to do so after a few days of monitoring. The visibility of the devices influenced how they experienced themselves and were perceived by others. CONCLUSION: For people with epilepsy, wearables are more than just technical tools; they have a significant existential impact on everyday life. Wearables spotlight the epilepsy condition, and this causes people with epilepsy to experience an existential disruption, as they experience being exposed and vulnerable. This results in a renewed way of perceiving oneself. Nevertheless, wearables also validate epilepsy symptoms, thereby reducing the uncertainty related to epilepsy.

Out-of-hospital multimodal seizure detection: a pilot study.

Background: Out-of-hospital seizure detection aims to provide clinicians and patients with objective seizure documentation in efforts to improve the clinical management of epilepsy. In-patient studies have found that combining different modalities helps improve the seizure detection accuracy. In this study, the objective was to evaluate the viability of out-of-hospital seizure detection using wearable ECG, accelerometry and behind-the-ear electroencephalography (EEG). Furthermore, we examined the signal quality of out-of-hospital EEG recordings. Methods: Seventeen patients were monitored for up to 5 days. A support vector machine based seizure detection algorithm was applied using both in-patient seizures and out-of-hospital electrographic seizures in one patient. To assess the content of noise in the EEG signal, we compared the root-mean-square (RMS) of the recordings to a reference threshold derived from manually categorised segments of EEG recordings. Results: In total 1427 hours of continuous EEG was recorded. In one patient, we identified 15 electrographic focal impaired awareness seizures with a motor component. After training our algorithm on in-patient data, we found a sensitivity of 91% and a false alarm rate (FAR) of 18/24 hours for the detection of out-of-hospital seizures using a combination of EEG and ECG recordings. We estimated that 30.1% of the recorded EEG signal was physiological EEG, with an RMS value within the reference threshold. Conclusion: We found that detection of out-of-hospital focal impaired awareness seizures with a motor component is possible and that applying multiple modalities improves the diagnostic accuracy compared with unimodal EEG. However, significant challenges remain regarding a high FAR and that only 30.1% of the EEG data represented usable signal.

Wearable electroencephalography for ultra-long-term seizure monitoring: a systematic review and future prospects.

INTRODUCTION: Wearable electroencephalography (EEG) for objective seizure counting might transform the clinical management of epilepsy. Non-EEG modalities have been validated for the detection of convulsive seizures, but there is still an unmet need for the detection of non-convulsive seizures. AREAS COVERED: The main objective of this systematic review was to explore the current status on wearable surface- and subcutaneous EEG for long-term seizure monitoring in epilepsy. We included 17 studies and evaluated the progress on the field, including device specifications, intended populations, and main results on the published studies including diagnostic accuracy measures. Furthermore, we examine the hurdles for widespread clinical implementation. This systematic review and expert opinion both consults the PRISMA guidelines and reflects on the future perspectives of this emerging field. EXPERT OPINION: Wearable EEG for long-term seizure monitoring is an emerging field, with plenty of proposed devices and proof-of-concept clinical validation studies. The possible implications of these devices are immense including objective seizure counting and possibly forecasting. However, the true clinical value of the devices, including effects on patient important outcomes and clinical decision making is yet to be unveiled and large-scale clinical validation trials are called for.

[Spontaneous rupture of a bronchial artery aneurysm].

Ruptured bronchial artery aneurysm (BAA) is a rare but potentially life-threatening condition. In this case report, a 73-year-old man was admitted to hospital due to acute onset of retrosternal chest pain radiating to the back. A CT and a selective bronchial artery angiography revealed a ruptured BAA, which was initially coiled, and haemostasis was secured with a microvascular plug. The post-operative course was without complications, and the patient was discharged after two days.

[The choice of diagnostic modality for acute pulmonary embolism].

The diagnosis of pulmonary embolism (PE) relies on clinical assessment, D-dimer test and diagnostic imaging. Modern CT pulmonary angiography (CTPA), ventilation/perfusion  single-photon emission computed tomography (SPECT) and SPECT/CT are rather equal in terms of sensitivity, specificity and inconclusive results for the diagnosis of PE, outper-forming planar lung scintigraphy. Furthermore, SPECT/CT and CTPA can both provide important information regarding differential diagnoses. Thus, the choice of primary diag-nostic modality relies on local expertise, availability and special circumstances like radiation dose, contraindications and the clinical urgency.