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Classifying the EEG Signal through Stimulus of Motor Movement Using New Type of Wavelet

IAES International Journal of Artificial Intelligence (IJ-AI) Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Brain Computer Interface (BCI) refers to a system designed to translate the brain signal in controlling a computer application.  The most widely used brain signal is electroencephalograph (EEG) for using the non-invasive method, and having a quite good resolution and relatively affordable equipments. This research purposively is to obtain the characteristics of EEG signals using the motor movement of “turn right” and “turn left” that is by moving the simulation of steering wheel. The characteristic of signal obtained is subsequently used as a reference to create a new type of wavelet for classification. The signal processing, including a 4 – 20 Hz bandpass filter, signal segmentation in 1 to 2 seconds after stimuli and signal correlation,  is used to obtain the characteristic of EEG signal; namely Event–Related Synchronization/Desynchronization (ERS/ERD). The result of test data classification to two new types of wavelet shows that each volunteer has a higher correlation value towards the new type of wavelet that has been designed with various wavelet scales for each individuals.

SERUM LEVEL CHANGES OF NEUROTROPHIN-3 AFTER PERFORMING DIABETIC FOOT EXERCISE IN DIABETIC NEUROPATHY

International Journal of Public Health Science (IJPHS) Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Objective : to determine the pattern of changes in serum levels of NT-3 in the improvement of diabetic neuropathy, after doing diabetic foot exercise. Method : a true experimental study with randomaized pre – post test control trial. A total of 36 subjects meeting the inclusion and exclusion criteria were included in the exercise group or the control one with age matched systematic random sampling method. Result : Exercise group had a significant improvement on the score of ABI (p.0.002), systolic blood pressure (p.0.014), diastolic blood pressure (p.0.055), DNS (p.0.01), DNE (p.0.001) and increased of serum level of NT-3 (p.0.049). Control group had result respectively on ABI (p.0.131), systolic blood pressure (p.0.668), diastolic blood pressure (p.0.216), DNS (p.1.00), DNE (p.0.543), and increase of NT-3 (p.0.264). The comparation results of the two groups had a significant different on the score of ABI (p.0.01), systolic blood pressure (p.0.01), diastolic blood pressure (p.0.01), DNS (p.0.01), DNE (p.0.01), and increased of NT-3 (p.0.01). Conclusion : Diabetic foot exercise had a peripheral affect on a clinically significant improvement based on ABI scores, systolic and diastolic blood pressure, DNS and DNE, and increase of serum level of NT-3.

APLIKASI MOBILE DOCTOR UNTUK MENINGKATKAN EFEKTIFITAS DAN EFISIENSI LAYANAN MEDIS DALAM PENANGGULANGAN BENCANA ALAM

Seminar Nasional Informatika (SEMNASIF) Vol 1, No 5 (2011): Information System and Application
Publisher : Jurusan Teknik Informatika

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Abstract

Peranan IPTEK dalam antisipasi dan penanganan bencana alam sangatlah besar. Perkembangan TIK memberikan terobosan baru dalam layanan kesehatan mobile dengan memanfaatkan perangkat TI genggam atau yang biasa disebut dengan mobile doctor. Mobile doctor memiliki beberapa kelebihan kemampuan untuk penanganan bencana yang bisa diakses kapan saja, di mana saja, dan oleh siapa saja. Sistem ini, akan memungkinkan dokter untuk memantau dari jauh seorang pasien korban bencana yang dapat bebas bergerak, dan untuk situasi darurat. Problem yang ada adalah perangkat mobile doctor memiliki keterbatasan sumber daya dan keragaman platform sehingga diperlukan rancangan yang mampu menjamin kompatibilitas dan interoperabilitas. Penelitian ini bertujuan untuk menangani masalah kesehatan pasien korban bencana alam dengan memanfaatkan telepon seluler, agar dokter bisa memberikan informasi layanan medis yang lebih efektif dan efisien kepada pasien. Layanan mobile doctor ini memerlukan koneksi dan akses internet yang bagus, dan juga memerlukan hardware yang mumpuni agar bisa menikmati keseluruhan layanan medis dengan baik. Hasil yang diharapkan dari penelitian ini adalah sebuah software dan konten kesehatan berbasis seluler, sedang target utamanya adalah rancangan mobile doctor untuk layanan medis dalam penanganan bencana alam.

Ephaptic crosstalk in Painful Diabetic Neuropathy: an electrodiagnostic study.

Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Vol 50, No 2 (2018)
Publisher : Journal of the Medical Sciences (Berkala Ilmu Kedokteran)

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Abstract

Painful Diabetic Neuropathy (PDN) is a common complication of diabetes mellitus(DM) which significantly causes pain and distress in patients. Release of factors fromdegenerating fibers activating adjacent fibers to produce ephaptic crosstalk have beenproposed as one of the pain mechanism in PDN. Here we aim to detect ephaptic crosstalkbetween small fibers and large fibers in PDN subjects by comparing the electrodiagnosticresult of patients with PDN and patients without PDN.This study used cohort prospective design. Patients with type 2 DM or impairedglucose tolerance (IGT) without PDN from several health facilities in Yogyakarta werefollowed for 12 months for the occurrence of PDN. Demographic, clinical, laboratory andelectrodiagnostic data from all patients were collected and analyzed.One hundred and forty-one subjects (58 men, 83 women) with an average age of 51years (range, 40–61 years), were enrolled in this study. After 48 weeks of observation,12 subjects were found to have PDN. The differences of distal latency between PDNand non-PDN group were significant when measured in median sensory nerve (4.47 ms±2.43 versus 3.39 ms ±1.79, p = 0.002), tibial motor nerve (6.96 ms ±3.07 versus5.90 ms ±2.17, p = 0.041), and sural sensory nerve (6.02 ms ±3.56 versus 3.55ms ±2.90, p <0.001). Among all parameters measured in this study, the H-reflex hadhigher abnormality persentage compared to other electrodiagnostic variable (H latency =30%, H amplitude = 71%, H/M Ratio = 88%, and H-M IPL = 15%).Our result shows that small fiber neuropathy in PDN can be detected by electrodiagnosticstudy which measures large fibers function. This indicates that ephaptic crosstalkbetween small fiber and large fiber happens in PDN.

Development of motor learning implementation for ischemic stroke: finding expert consensus

Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Vol 49, No 4 (2017)
Publisher : Journal of the Medical Sciences (Berkala Ilmu Kedokteran)

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Abstract

The main purpose of this study was to investigate motor learning implementation forischemic stroke from experts on the field of motor learning in stroke patients includingthe neurologist, medical rehabilitation specialists and physiotherapists. To collect thedata and answer the research questions, statements were made on the basis of thestudy of literature and the grains exploration of the statements in the questionnaire usingthe Delphi Method. Formulation development model was based iteration or judgmentof experts. Validation assessment statement grain tested by the Content Validity Ratio(CVR) and Content Validity Index (CVI) was used to analyze the data. The finding clearup that CVR value of each item statement was 1 and the value of CVI also 1. There were6 indicators in a 26-point declaration on the implementation of the development model ofmotor learning intervention for ischemic stroke. Six indicators included basic theories thatsupport the importance of intervention motor learning, motor learning stages, principlesof motor learning, dosage, timing of and kinds of motor learning interventions that can beprovided as well as application development intervention model motor learning, allowinggiven for ischemic stroke. In conclusion, based on the content validity of the results ofthe consensus expert judgments are six indicators of the importance of motor learningapplication for ischemic stroke.

H-reflex amplitude depression as a marker of presynaptic inhibition in Painful Diabetic Neuropathy (PDN).

Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Vol 47, No 01 (2015)
Publisher : Journal of the Medical Sciences (Berkala Ilmu Kedokteran)

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Abstract

ABSTRACTPainful Diabetic Neuropathy (PDN) is a common complication of diabetes mellitus (DM). Disruption in presynaptic inhibition in dorsal horn of the spinal cord has been proposed as one of the pathomechanism of PDN. Previous research showed that presynaptic inhibition can be detected by H-reflex examination. The aim of this study was to know whether the reduction of presynaptic inhibition in spinal dorsal horn of PDN patients really exist, and detectable by H-reflex examination. It was cohort prospective involving 141 (58 men, 83 women) patients with DM and impaired glucose tolerance (IGT) between the ages of 40 and 61 years from several health facilities in Yogyakarta. All patients underwent clinical, laboratory and electrodiagnostic examination. Demographic, clinical and electrodiagnostic data were collected and analyzed. By survival analysis there were 25 new cases of PDN (12.12% cumulative incidence). Using survival Kaplan Meier analysis, the significant hazard ratio for PDN were 12.81 for median motor nerve amplitude, 5.74 for median nerve distal latency, 3.71 for median sensory nerve amplitude, 6.33 for median sensory latency, 3.4 for tibial nerve amplitude, 3.48 for tibial nerve distal latency, 2.29 for sural nerve amplitude, 4.47 for sural nerve latency, 3.99 for H-reflex latency, 5.88 for H-reflex amplitude, and 17.83 for Diabetic Neuropathy (DN) status. Using hazard proportional cox analysis, only H amplitude and DN status (DNS score) were significantly correlated with PDN (p= 0.026; hazard ratio = 15.450; CI 95%= 1.39 – 171.62 for H amplitude and p= 0.030; hazard ratio = 10.766; CI 95%=1.26 – 92.09 for DN status). This study showed that depression of H-reflex amplitude was correlated with the occurrence of PDN. This result proves that there was presynaptic inhibition process in PDN that manifests as low H-reflex amplitude.

Classifying the EEG Signal through Stimulus of Motor Movement Using New Type of Wavelet

IAES International Journal of Artificial Intelligence (IJ-AI) Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (125.142 KB)

Abstract

Brain Computer Interface (BCI) refers to a system designed to translate the brain signal in controlling a computer application.  The most widely used brain signal is electroencephalograph (EEG) for using the non-invasive method, and having a quite good resolution and relatively affordable equipments. This research purposively is to obtain the characteristics of EEG signals using the motor movement of “turn right” and “turn left” that is by moving the simulation of steering wheel. The characteristic of signal obtained is subsequently used as a reference to create a new type of wavelet for classification. The signal processing, including a 4 – 20 Hz bandpass filter, signal segmentation in 1 to 2 seconds after stimuli and signal correlation,  is used to obtain the characteristic of EEG signal; namely Event–Related Synchronization /Desynchronization (ERS/ERD). The result of test data classification to two new types of wavelet shows that each volunteer has a higher correlation value towards the new type of wavelet that has been designed with various wavelet scales for each individuals.DOI: http://dx.doi.org/10.11591/ij-ai.v1i3.843

APLIKASI STREAMING MULTIMEDIA PADA M-DOCTOR DENGAN SELULAR WCDMA

Jurnal Teknologi Technoscientia Vol 3 No 1 (2010): Vol 3 No 1 Agustus 2010
Publisher : LPPM IST AKPRIND Yogyakarta

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Abstract

Information technology and ielecommunications to the Internet becomes the main priority in the development of world progress. These developments provide new break-through in health care services mobile using mobile IT devices or socalled mobile doctor (m-doctor). M-doctor has some excess capacity for health care services that can be accessed anytime, anywhere, by anyone. The problems that still esist on still on m-doctor is that the lack of hardware and platforms that required by the system design and ease of access. One also needs a special study of each section dealing with the existing m-doctor in order to get comfortable for the user. The aim of this study is  to address the issue by using streaming multimedia as content that can offer a more clear and specific infor-mation. Streaming multimedia services m-doctor require internet connection and good access, and also requires capable hardware to enjoy the overall bias with good services by using phones that support streaming multimedia mobile facilities. Expected results of this study is a software-based content cellular WCDMA, and the main target is to design m-doctor with streaming multimedia services.