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Investigation of the role of sleep quality and sleep duration on fasting blood glucose level in acute ischemic stroke patients: A preliminary study Putra, Riza P.; Islamiyah, Wardah R.
Narra J Vol. 1 No. 3 (2021): December 2021
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v1i3.59

Abstract

The aim of this study was to evaluate the association between the sleep quality and sleep duration with the level of fasting blood glucose in patients with acute ischemic stroke. A cross-sectional study was conducted among acute ischemic stroke patients admitted to Dr. Soetomo Hospital and Universitas Airlangga Hospital from May to October 2021. Patients who met the inclusion were enrolled. To assess the sleep quality, Pittsburgh Sleeps Quality Index (PSQI) was applied. To determine sleep duration during the nocturnal period, Fitbit Charge 2 HR device was used. Evaluation of plausible confounders was assessed through physical examination, interviews, and a set of validated questionnaires. A total of 30 acute ischemic stroke patients were included in this study. The mean age of the participants was 56.40±9.77 years and 60% were males. There were 63.3% patients classified as mild stroke and 36.7% moderate-severe stroke. The average PQSI score was 5.57±2.59, while the average sleep duration was 319.8±108.7 minutes. The average fasting blood glucose level was 89.03±14.71 mg/dL. Significant positive correlation was obtained between sleep duration and fasting blood glucose level (r=0.533; p=0.002). Similarly, there was no statistically significant correlation between sleep quality with the level of fasting blood glucose (r=-0.167; p=0.377). To the best of our knowledge, this is the first study assessing the correlation between sleep quality and sleep duration with the level of fasting blood glucose levels in patients with acute ischemic stroke. This study therefore might be of great interest to provide insights on the importance of sleep management in acute ischemic stroke patients.
Motor improvement in Parkinson’s disease patients receiving caffeine adjuvants: A double-blind randomized controlled trial in Indonesia Hamdan, Muhammad; Suharto, Ade P.; Nugraha, Priya; Islamiyah, Wardah R.
Narra J Vol. 4 No. 2 (2024): August 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i2.826

Abstract

Parkinson's disease (PD) manifests as a movement and brain function disorder characterized by symptoms such as resting tremors, rigidity, bradykinesia, and postural instability, leading to disability among patients. The use of psychostimulants such as caffeine has been associated with the improvement of motor symptoms in PD patients; however, studies regarding the effect of caffeine adjuvant therapy on motor function among PD patients in the Indonesian population are lacking. The aim of this study was to evaluate motor improvement as measured by the change in scores of the Movement Disorder Society - Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III) among PD patients receiving caffeine adjuvant. A double-blind randomized controlled trial (RCT) was conducted among PD patients at Dr. Soetomo General Academic Hospital and Universitas Airlangga Hospital, Surabaya, Indonesia, from April to August 2023. A total of 27 patients were enrolled and randomly assigned to an intervention (receiving caffeine adjuvant, n=15) and control group (receiving placebo, n=12). Motor improvement was measured using the UPDRS III score prior to intervention and three weeks after. The Chi-squared test was used to analyze the difference in UPDRS III scores between the two groups. Motor improvement, as demonstrated by a reduction in the UPDRS III score, was observed in patients receiving caffeine adjuvant compared to those receiving placebo (80.0% vs 16.7%; p=0.004). Regarding the safety profile, only four out of 15 (26.6%) patients treated with caffeine reported minor adverse events. These conditions improved over time during the intervention. None of the 12 patients in the placebo reported adverse events. This study provides valuable insights into the initial dosage of caffeine that improves motor function in PD patients with minimum adverse effects.
EpCare: Prototipe Sistem Detektor Pre-Iktal Pasien Epilepsi Berbasis Fitur CSI dari Sinyal EKG 1 Kanal Menggunakan AD8232 Wulandari, Diah P.; Kurniawan, Arief; Nathanael, Alvin; Purnami, Santi W.; Juniani, Anda L.; Islamiyah, Wardah R.
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 1: Februari 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023105862

Abstract

Kejang epilepsi dapat terjadi di sembarang waktu dan tempat, dan dalam kondisi tertentu dapat menyebabkan cedera fatal. Oleh karena itu, kebutuhan akan perangkat wearable yang dapat mengirimkan peringatan kepada pengguna akan kejang yang akan datang adalah penting. Perangkat ini harus dapat merasakan kelainan pada sinyal biomedis pengguna dan mengirimkan peringatan sebelum kejang. Penelitian ini mengembangkan sistem yang mendeteksi kondisi pre-iktal pasien epilepsi berdasarkan fitur Cardiac Sympathetic Index (CSI) dari sinyal Elektrokardiogram (EKG). Listrik jantung pasien diukur menggunakan 3 elektroda yang dihubungkan ke AD8232 untuk mewakili sinyal 1 kanal. Algoritma Pan-Tompkins diimplementasikan untuk mendapatkan interval RR dari sinyal EKG. Kemudian fitur CSI dihitung berdasarkan nilai RR-interval. Distribusi setiap 100 interval RR dijadikan sebagai dasar untuk menentukan nilai ambang batas CSI. Ketika nilai CSI melebihi ambang batas ini, sistem akan mengirimkan peringatan ke aplikasi seluler, yang disebut EpCare. Eksperimen dilakukan pada dua kelompok data, yaitu kelompok data primer dari non-penderita epilepsi dan kelompok data sekunder dari penderita epilepsi. F-measure dari eksperimen yang menggunakan ambang batas dari orang normal sebesar 0.64, sedangkan F-measures dari eksperimen yang menggunakan ambang batas individual penderita epilepsy sebesar 0.50. AbstractEpileptic seizures may occur at anytime and anywhere, and in certain conditions may lead to fatal injury. Therefore, the need for wearable device that can alert user to an impending seizure is important. This device should be able to sense abnormality in user’s biomedical signals and send alert prior to seizure. This research develops a system that detects pre-ictal condition of epilepsy patient based on Cardiac Sympathetic Index (CSI) feature from Electrocardiogram (ECG) signals. Patient’s heart electricity is measured using 3 electrodes which are connected to AD8232 to represent 1 channel signal. Pan-Tompkins algorithm is implemented to obtain RR intervals of ECG signals. Then, CSI feature is calculated based on the values of RR-intervals. A distribution of every 100 RR-intervals is made as basis to determine a threshold value of CSI. When CSI value exceeds this threshold, system will send alert to a mobile application, called EpCare. Experiments were conducted on two groups of data, which are primary one from non-epileptic persons, and secondary one from epileptic patients. F-measures of experiments used threshold of non-epileptic person is 0.64, while F-measures of experiments used individual threshold of epileptic person is 0.50.