78 research outputs found
Wireless sensing system for long-time assistance in the Parkinson’s disease
No full textA non-invasive wearable wireless sensing system for assisting patients affected by
Parkinson’s Disease is proposed. It uses inertial sensors to recognize gait states and involuntary gait
freezing. The system is designed for indoor and outdoor long-time monitoring and realizes an
individual electronic diary useful for doctors for estimating better the stage of the disease and
customizing the pharmacological therapy. Standard tests were performed on a noticeable number
of patients. The system performances are the state-of-art in the detection of specific movement
disorders of PD patients. The algorithm demonstrated its reliability and robustness respect to
individual specific gait and postural behaviors
Mobile devices for the real-time detection of specific human motion disorders
No full textWe propose a wearable wireless sensing system for monitoring human motion disorders. The system is designed to be used at home or outdoor, as a mobile healthcare device assisting the person during the daily activity. It provides in real time an early detection of specific motion disorders at their outset, with excellent performance in terms of sensitivity and precision. The system is composed of inertial measurement units, a station for the real-time processing (smartphone/tablet/PC), dedicated algorithms and, eventually, a headphone for auditory feedback. An auditory feedback can warn the patient about particularly dangerous situations as the freezing of gait in the case of Parkinsonian patients, and timely provide rhythmic auditory stimulations to release the gait block. Two different hard and soft implementations of the system are discussed in this paper. The first has just one sensor in a headset. This solution features a fine detection of body motion and in particular of trunk oscillations, easy wearability, through auditory feedback. It is particularly compact and energy efficient, since no wired/wireless connection is required to give the audio-feedback (which reflects on the battery life). However, the headset suffers of the presence of a joint (the neck), which can hide important features of very disordered gaits, as in the case of the Parkinson's disease or other neurodegenerative diseases. The second implementation has two sensors on the shins. It allows fine detection of gait features, and guarantees the best performance presented in the literature to date in terms of sensitivity, specificity, precision, and accuracy in detection of the gait freezing. As a drawback, it requires an additional device in the ear for the audio-feedback, which implies higher power consumption respect to the headset device, for the wireless communication to the microphone. Different recognition algorithms were implemented in the same board, using fusion of raw signals from accelerometers and gyroscopes. The two solutions, their implementations, and experimental results will be discussed in detail, outlining strengths and deficiencies of the twos
Reliable and robust detection of freezing of gait episodes with wearable electronic devices
No full textA wearable wireless sensing system for assisting patients affected by Parkinson's disease is proposed. It uses integrated micro-electro-mechanical inertial sensors able to recognize the episodes of involuntary gait freezing. The system operates in real time and is designed for outdoor and indoor applications. Standard tests were performed on a noticeable number of patients and healthy persons and the algorithm demonstrated its reliability and robustness respect to individual specific gait and postural behaviors. The overall performances of the system are excellent with a specificity higher than 97%
Merawat luka batin
No full textMerawat Luka Batin adalah buku yang ditulis oleh seorang Dokter Spesialis Kedokteran Jiwa bernama dr. Jiemi Ardian Sp.Kj. Buku ini berisi tentang proses berpikir, bukan sekadar berpikir dengan positif. Saat perasaan sedang tidak baik-baik saja, terlebih pada keadaan depresi, proses pikir kita biasanya ikut andil dalam memperburuk keadaan. Namun, sulit bagi kita untuk menyadari proses berpikir yang bermasalah ini karena kita menganggapnya sebagai cara kita melihat realitas. Menyadari pikiran yang keliru saat hal itu muncul bukanlah hal yang mudah
Wearable Wireless Inertial Sensors for Long-Time Monitoring of Specific Motor Symptoms in Parkinson’s Disease
No full textUsing neural networks for the recognition of specific motion symptoms of the parkinson’s disease
No full textSmart sensors for the recognition of specific human motion disorders in Parkinson's disease
No full textIt is proposed a wearable sensing system based on Inertial Measurement Units (IMUs) for the long-Time detection of specific human motion disorders. The system uses a single sensor positioned on the head, close to the ear. The system recognizes noticeable gait features as irregular steps and the gait block (freezing of gait). Respect to other positions on the body, the headset has the maximum sensitivity to the trunk oscillations which patients make to get out of the block, increasing dramatically the risk of falls. The headset has also the advantage that it is easy to wear and the whole system can be contained in a single package. In fact, an audio device for auditory feedback to the patient can be integrated without any wireless/wired connection to the ear. The classification of those motion features is performed by an artificial neural network (ANN) and starts from the raw signals collected by the IMU. The ANN algorithm of recognition is extremely versatile and works for any individual gait features. The ANN allows robust and reliable detection of the targeted kinetic features and requires fast and light calculations. In this paper, it is presented the recognition of irregular steps, trunk oscillations and stop state obtained performing calculations out-board on a PC, without losing the generality of the method validity. The final headset system will be extremely energy efficient thanks to its compactness, to the fact that the ANN avoids computational energy wasting, and that the audio feedback does not require any wired/wireless connection. This affects positively the system performance in terms of power consumption and battery life (monitoring time). © 2015 IEEE
Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease
No full textANALISIS SEMIOTIKA TERHADAP PESAN AKHLAK DALAM KOMIK PENGEN JADI BAIK JILID 5 KARYA ARDIAN CANDRA SUSILA
No full textABSTRAK
ANALISIS SEMIOTIKA TERHADAP PESAN AKHLAK DALAM KOMIK
PENGEN JADI BAIK JILID 5 KARYA ARDIAN CANDRA SUSILA.
Dinda Puspa Damayanti
1708302057
Penelitian ini dilatar belakangi oleh semakin berkembangnya dunia
perkomikan dan berkembangya dunia dakwah di Indonesia. Salah satunya yaitu
buku komik Pengen Jadi Baik sebagai perantara media dakwah yang dikemas
dengan bahasa yang ringan, mudah dimengerti tanpa adanya kesan menggurui.
Komik ini dituukkan oleh pembaca mulai dari anak-anak usia 9-12 tahun hingga
dewasa. Selain cara penyampaiannya yang ringan dan mudah dimengerti anakanak,
komik ini juga banyak mengajari kita nilai-nilai agama yang diselipi ayat
Al-Qur’an dan juga hadits.
Rumusan masalah terkait penelitian: Bagaimana analisis pesan dakwah
mengenai akhlak tersebut dalam kajian semiotika Sanders Pierce pada komik
Pengen Jadi Baik jilid 5. Bagaimana pesan akhlak yang telah dikemas dan
disampaikan dalam komik Pengen Jadi Baik jilid 5 karya Ardian Candra Susila
Penelitian ini bertujuan untuk mengetahui makna isi pesan akhlak baik
tercela dan terpuji dalam komik Pengen Jadi Baik jilid kelima dengan
menggunakan kajian dari semiotika Charles Sanders Pirece yang kemudian dapat
disimpulkan terkait pesan analisis akhlak di dalamnya.
Penelitian ini menggunakan jenis penelitian kualitatif dengan
menggunakan dua sumber data yaitu sumber data primer dan sekunder. Adapun
untuk teknik pengumpulan datanya menggunakan metode observasi, wawancara
(online) melalui email, dan dokumentasi. Sedangkan untuk teknik analisis datanya
penelitian ini menggunakan semiotika dari Charles Sanders Pierce dengan
meneliti sebuah representament (ikon, indeks, simbol), object, interpretant.
Hasil penelitian yang didapatkan setelah menganalisis 7 episode komik
Pengen jadi Baik jilid 5 ini dengan menggunakan semiotika Charles Sanders
Pierce yang berupa representamen (ikon, indeks, simbol), object,interpretant.
Peneliti membagi pesan akhlak tersebut menjadi akhlak tercela dan terpuji
diantaranya. 1) Akhlak tercela diantaranya: Mudharat dalam episode Tobat
Merokok, Berdusta dalam episode Tuyul, Berhutang dalam episode Utang Demi
Gengsi, Lalai dalam episode Dinding Seluler 3. 2) Akhlak terpuji diantaranya:
Bersyukur dalam episode Jamur Hitz, Bersabar dalam episode Susah dan senang,
Menasehati pada episode Masuk Tipi.
Kata Kunci: Semiotika, Analisis isi, Komik, Pesan Akhlak
l-DOPA and Freezing of Gait in Parkinson’s Disease: Objective Assessment through a Wearable Wireless System
No full textFreezing of gait (FOG) is a leading cause of falls and fractures in Parkinson’s disease (PD). The episodic and rather unpredictable occurrence of FOG, coupled with the variable response to l-DOPA of this gait disorder, makes the objective evaluation of FOG severity a major clinical challenge in the therapeutic management of patients with PD. The aim of this study was to examine and compare gait, clinically and objectively, in patients with PD, with and without FOG, by means of a new wearable system. We also assessed the effect of l-DOPA on FOG severity and specific spatiotemporal gait parameters in patients with and without FOG. To this purpose, we recruited 28 patients with FOG, 16 patients without FOG, and 16 healthy subjects. In all participants, gait was evaluated clinically by video recordings and objectively by means of the wearable wireless system, during a modified 3-m Timed Up and Go (TUG) test. All patients performed the modified TUG test under and not under dopaminergic therapy (ON and OFF therapy). By comparing instrumental data with the clinical identification of FOG based on offline video-recordings, we also assessed the performance of the wearable system to detect FOG automatically in terms of sensitivity, specificity, positive and negative predictive values, and finally accuracy. TUG duration was longer in patients than in controls, and the amount of gait abnormalities was prominent in patients with FOG compared with those without FOG. l-DOPA improved gait significantly in patients with PD and particularly in patients with FOG mainly by reducing FOG duration and increasing specific spatiotemporal gait parameters. Finally, the overall wireless system performance in automatic FOG detection was characterized by excellent sensitivity (93.41%), specificity (98.51%), positive predictive value (89.55%), negative predictive value (97.31%), and finally accuracy (98.51%). Our study overall provides new information on the beneficial effect of l-DOPA on FOG severity and specific spatiotemporal gait parameters as objectively measured by a wearable sensory system. The algorithm here reported potentially opens to objective long-time sensing of FOG episodes in patients with PD
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