Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario

Author(s):  
Peter Bellmann ◽  
Patrick Thiam ◽  
Friedhelm Schwenker
2021 ◽  
Vol 11 (15) ◽  
pp. 6748
Author(s):  
Hsun-Ping Hsieh ◽  
Fandel Lin ◽  
Jiawei Jiang ◽  
Tzu-Ying Kuo ◽  
Yu-En Chang

Research on flourishing public bike-sharing systems has been widely discussed in recent years. In these studies, many existing works focus on accurately predicting individual stations in a short time. This work, therefore, aims to predict long-term bike rental/drop-off demands at given bike station locations in the expansion areas. The real-world bike stations are mainly built-in batches for expansion areas. To address the problem, we propose LDA (Long-Term Demand Advisor), a framework to estimate the long-term characteristics of newly established stations. In LDA, several engineering strategies are proposed to extract discriminative and representative features for long-term demands. Moreover, for original and newly established stations, we propose several feature extraction methods and an algorithm to model the correlations between urban dynamics and long-term demands. Our work is the first to address the long-term demand of new stations, providing the government with a tool to pre-evaluate the bike flow of new stations before deployment; this can avoid wasting resources such as personnel expense or budget. We evaluate real-world data from New York City’s bike-sharing system, and show that our LDA framework outperforms baseline approaches.


2019 ◽  
Vol 8 (1) ◽  
pp. 70-74 ◽  
Author(s):  
Angela JM Hall ◽  
Andrew RJ Mitchell

Vernakalant is an antiarrhythmic drug licensed for the pharmacological cardioversion of recent onset AF. Randomised clinical trials, backed up by real-world experience, have confirmed its efficacy at restoring sinus rhythm. Vernakalant can be administered simply with a short time to action, facilitating early discharge from hospital in selected patients in place of electrical cardioversion. The authors explore the data behind vernakalant and discuss how it can be introduced into clinical practice.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 886.2-886
Author(s):  
C. Bingham ◽  
S. Kafka ◽  
S. Black ◽  
S. Xu ◽  
W. Langholff ◽  
...  

Background:Use of patient-reported outcomes (PROs) to assess health-related quality of life in clinical practice, research studies, and clinical trials in rheumatoid arthritis (RA) remains an ongoing area of research. SF-36 is commonly used in RA trials but is not feasible for routine use in clinical practice settings. ThePatientReportedOutcomesMeasurementInformationSystem (PROMIS) may address this gap but has not been widely assessed in RA patients starting therapy in a real-world comparative effectiveness study, nor examined in that setting in relation to the SF36 and Clinical Disease Activity Index (CDAI).Objectives:To assess validity of PROMIS based on Comparative and Pragmatic Study of Golimumab Intravenous (IV) Versus Infliximab in Rheumatoid Arthritis (AWARE), an ongoing Phase 4 study providing real-world assessment of IV tumor necrosis factor inhibitor (TNFi) medications in RA patients.Methods:AWARE is a prospective, non-interventional, 3-year study conducted at 88 US sites. RA patients were enrolled when initiating TNFi treatment. Treatment decisions were made by treating rheumatologists. We report baseline PROMIS-29 (7 domains and pain intensity), PROMIS Pain Interference (PI) Short Form (SF) 6b (PI6b) and PROMIS Fatigue (F) Short Form 7a (F7a), domain T-Scores, and SF-36 subdomain and Component Scores (CS) in AWARE patients. Here we report baseline data obtained from the final 1-year AWARE dataset. Correlations between PROMIS measures and comparable SF-36 component scores were calculated using Pearson correlations. Data is shown as mean ± standard deviation (SD).Results:At baseline, mean CDAI of all patients (n=1262) was 32.3±15.6, with 70.4% in high disease activity (HDA, CDAI>22), 22.8% in moderate disease activity (MDA, CDAI: >10 and ≤22), 6.1% in low disease activity (LDA, CDAI: >2.8 and ≤10), and 0.7% in remission (CDAI ≤2.8). Mean PROMIS scores were >0.5 SD worse than population means for Physical Function (PF, 38.1±6.84), PI (63.4±7.68), F (58.8±9.95), Sleep Disturbance (55.1±8.68); and Ability to Participate in Social Roles/Activities (PSRA, 43.4±8.58). Baseline Depression and Anxiety were within 0.5 SD of population T-scores. PI6b, F7a, and P29 domain T-scores correlated with the comparable SF-36 subdomain and component scores (r’s >0.58), except sleep for which no comparable SF-36 element was applicable. Examples include: P6b (r=-0.80) and P29-PI (0.81) with SF-36 Bodily Pain; F7a (-0.77) and P29-F (-0.77) with SF-36 Vitality; P29-PF with SF-36 PF (0.77), Role-Physical (0.69), and Physical CS (0.73); P29 Anxiety with SF-36 Mental Health (-0.72), Role-Emotional (-0.56), Mental CS (-0.70); and P29-PRSA with SF-36-Social Functioning (0.71). Mean PROMIS-29 T-scores (except Anxiety and Sleep Disturbance) among patients with HDA were significantly different from patients with MDA, LDA or remission (p < 0.001 for all). Further, mean PROMIS T-scores of PF, F, PSRA, PI, Pain Intensity, PI6b and P7a among patients with MDA were significantly different from patients with more or less active RA (by CDAI category).Conclusion:Analysis of baseline results from a large cohort of RA patients indicates high correlations between individual P29 domain T-scores and SF-36 component scores, as well as categorical CDAI, providing strong evidence of PROMIS construct validity in a real-world population of RA patients.Disclosure of Interests:Clifton Bingham Grant/research support from: Bristol-Myers Squibb, Consultant of: Bristol-Myers Squibb, Shelly Kafka Employee of: Janssen Scientific Affairs, LLC, Shawn Black Employee of: Janssen Research & Development, LLC, Janssen Scientific Affairs, LLC, Stephen Xu Employee of: Janssen Research & Development, LLC, Wayne Langholff Employee of: Janssen Research & Development, LLC, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB


2021 ◽  
Vol 38 (2) ◽  
pp. 349-358
Author(s):  
Bilal Dendani ◽  
Halima Bahi ◽  
Toufik Sari

Mobile speech recognition attracts much attention in the ubiquitous context, however, background noises, speech coding, and transmission errors are prone to corrupt the incoming speech. Therein, building a robust speech recognizer requires the availability of a large number of real-world speech samples. Arabic language, like many other languages, lacks such resources; to overcome this limitation, we propose a speech enhancement step, before the recognition begins. For the speech enhancement purpose, we suggest the use of a deep autoencoder (DAE) algorithm. A two-step procedure is suggested: in the first step, an overcomplete DAE is trained in an unsupervised way, and in the second one, a denoising DAE is trained in a supervised way leveraging the clean speech produced in the previous step. Experimental results performed on a real-life mobile database confirmed the potentials of the proposed approach and show a reduction of the WER (Word Error Rate) of a ubiquitous Arabic speech recognizer. Further experiments show an improvement of the perceptual evaluation of speech quality (PESQ), and the short-time objective intelligibility (STOI) as well.


2020 ◽  
Vol 23 ◽  
pp. S642
Author(s):  
P. McAllister ◽  
L. Lamerato ◽  
J. Casciano ◽  
J.M. Cohen ◽  
S. Thompson ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 527 ◽  
Author(s):  
Hani Ramadhan ◽  
Yoga Yustiawan ◽  
Joonho Kwon

Indoor positioning techniques, owing to received signal strength indicator (RSSI)-based sensors, can provide useful trajectory-based services. These services include user movement analytics, next-to-visit recommendation, and hotspot detection. However, the value of RSSI is often disturbed due to obstacles in indoor environment, such as doors, walls, and furnitures. Therefore, many indoor positioning techniques still extract an invalid trajectory from the disturbed RSSI. An invalid trajectory contains distant or impossible consecutive positions within a short time, which is unlikely in a real-world scenario. In this study, we enhanced indoor positioning techniques with movement constraints on BLE (Bluetooth Low Energy) RSSI data to prevent an invalid semantic indoor trajectory. The movement constraints ensure that a predicted semantic position cannot be far apart from the previous position. Furthermore, we can extend any indoor positioning technique using these movement constraints. We conducted comprehensive experimental studies on real BLE RSSI datasets from various indoor environment scenarios. The experimental results demonstrated that the proposed approach effectively extracts valid indoor semantic trajectories from the RSSI data.


Author(s):  
Yiyuan Wang ◽  
Shaowei Cai ◽  
Jiejiang Chen ◽  
Minghao Yin

The minimum weight dominating set (MWDS) problem is NP-hard and also important in many applications. Recent heuristic MWDS algorithms can hardly solve massive real world graphs effectively. In this paper, we design a fast local search algorithm called FastMWDS for the MWDS problem, which aims to obtain a good solution on massive graphs within a short time. In this novel local search framework, we propose two ideas to make it effective. Firstly, we design a new fast construction procedure with four reduction rules to cut down the size of massive graphs. Secondly, we propose the three-valued two-level configuration checking strategy to improve local search, which is interestingly a variant of configuration checking (CC) with two levels and multiple values. Experiment results on a broad range of massive real world graphs show that FastMWDS finds much better solutions than state of the art MWDS algorithms.


2011 ◽  
Vol 2 ◽  
pp. 50-53
Author(s):  
R. N. Yadav ◽  
S. K. Chakrabarti

Higher dimensional differential equations may express several real world simulation processes which depend upon their pre-history and subject to short-time disturbances. Such processes occur in the theory of optimal control, population dynamics, biotechnologies, economics, mathematical physics etc. So, the study of this class of dynamical systems is gradually gaining momentum. In the present work Avery-Peterson theorem has been envisaged for getting the positive periodic solutions of the corresponding differential equations for cones with impulses on time scales. By using the multiple fixed-point theorems we have shown through different lemmas and manipulation of several functions how the necessary criteria can be mathematically arrived at so that the results come to be feasible as well as effective.Keywords: Real world simulation processes; Theory of optimal control; Population dynamics; Biotechnologies; EconomicsThe Himalayan Physics Vol.2, No.2, May, 2011Page: 50-53Uploaded Date: 1 August, 2011


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