Beilei Xu, H. Madhu, Rakesh Kulkarni, L. K. Mestha, Survi Kyal, Graham Pennington
{"title":"Evaluating and improving the robustness of a video-based PR/RR monitoring system for a clinical environment","authors":"Beilei Xu, H. Madhu, Rakesh Kulkarni, L. K. Mestha, Survi Kyal, Graham Pennington","doi":"10.1109/HIC.2016.7797732","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797732","url":null,"abstract":"With the advancement and use of low cost cameras, video-based remote vital-monitoring technologies have drawn more and more attention. However, many of the previously proposed techniques rely on the assumption that the video is acquired under well-controlled conditions. There has been no study reported around how various acquisition factors and/or noise will affect the estimation accuracy. In this paper, we describe a systematic approach in understanding the challenges of extending the technology beyond a well-controlled environment and share the solution paths in making the technology robust in one specific application. The systematic approach involves first understanding the data analysis process, identifying key factors that affect the algorithms and then estimating the bounds of the factors and metrics that explain the variations in these vitals. As part of the solution paths, our paper goes into the details of how the algorithms were improved to address the findings of the current state. The refinement in the algorithms includes getting stronger signals in less controlled setting.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129099550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Lin, V. Bonnet, V. Joukov, G. Venture, D. Kulić
{"title":"Comparison of kinematic and dynamic sensor modalities and derived features for human motion segmentation","authors":"J. Lin, V. Bonnet, V. Joukov, G. Venture, D. Kulić","doi":"10.1109/HIC.2016.7797709","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797709","url":null,"abstract":"Human motion segmentation aims to extract individual motion repetitions from a continuous stream of data, typically using a single sensor modality. However, with the numerous sensor modalities available for motion measurement, it can be difficult to determine which modality is the most suitable. This paper investigates how segmentation accuracy is affected by the choice of sensing modality. Motion capture joint position, kinematic, force plate ground reaction force, centre of pressure, and joint torque features were considered, and their segmentation accuracy compared using classifier-based segmentation. It was found that joint position, joint angle, and ground reaction force produced similar accuracy values at 96%. These results suggest that raw motion capture and force plate sensor data can provide comparable accuracy to joint angles, reducing the need for computationally expensive inverse kinematic/dynamic computation and difficult parameter estimation.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philip Asare, M. Chowdhury, Taimoore Rajah, S. M. Poler, Mohammed Shah, P. Guion, J. Martin, Kevin Driscoll, Qianhong Wu, A. Mannes, C. Nataraj
{"title":"A system for semi-automated management of blood loss during surgery: Preliminary results","authors":"Philip Asare, M. Chowdhury, Taimoore Rajah, S. M. Poler, Mohammed Shah, P. Guion, J. Martin, Kevin Driscoll, Qianhong Wu, A. Mannes, C. Nataraj","doi":"10.1109/HIC.2016.7797735","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797735","url":null,"abstract":"This paper presents preliminary results from a pilot study for automated management of blood loss during surgery. The paper describes our approach in developing mathematical models for the cardiovascular system including blood loss and use of colloids for resuscitation. Further, adaptive models are synthesized and used for designing appropriate control algorithms. These algorithms are further integrated into a computerized platform that interfaces with medical devices such as monitors and pumps, which will be tested and validated in animal trials. The eventual development will be minimalist with an open architecture in order to enable easy adoption by others in the community.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Autonomously sensing loneliness and its interactions with personality traits using smartphones","authors":"G. Pulekar, E. Agu","doi":"10.1109/HIC.2016.7797715","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797715","url":null,"abstract":"One in five Americans is lonely and loneliness disproportionately affects senior citizens and international students. In this paper, we propose Socialoscope, a smartphone app that passively senses user loneliness from their communication and interaction patterns (e.g. calls, SMS, browsing patterns and social media usage), while factoring in different personality types. Data was gathered from 9 international students over 2 weeks to train machine learning classifiers for loneliness. Using smartphone-sensed data, we show that of the big 5 personality traits, extraversion and emotional stability features were strongly correlated with smartphone-sensed loneliness. We synthesized machine learning classifiers that classified user smartphone interaction and communication features into ranges of loneliness with an accuracy of 98%, while factoring in user personality types.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of lamivudine and emtricitabine using a modified pyrimidine assay","authors":"G. W. Pratt, A. Fan, C. Klapperich","doi":"10.1109/HIC.2016.7797701","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797701","url":null,"abstract":"Monitoring the adherence of patients taking highly-active anti-retroviral therapy (HAART) and Pre-Exposure Prophylaxis (PrEP) is a key step in treating an HIV infection. Since current monitor methods are non-direct there is a need for assays that directly verify the presence of active drug in the patient. In this work we modified an existing assay for the detection of cytosine to sense the presence of lamivudine (3TC) in spiked urine and emtricitabine (FTC) in water. 3TC and FTC is reacted with bromine and barium hydroxide to generate a colored precipitate in less than an hour indicating the presence of active drug. The current detection limit of the 3TC assay is 870uM in water and 2mM in urine. This assay can be applied in clinics to monitor patient adherence without the need for expensive equipment such as HPLC.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125856286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joseph T. Smith, U. Obahiagbon, Radwa Ewaisha, B. Katchman, K. Kaftanoglu, Hany M Arafa, D. Kullman, K. Anderson, J. Christen
{"title":"Low-cost, disposable fluorescence-based biorecognition system architecture for multiplexed point-of-care molecular diagnostics","authors":"Joseph T. Smith, U. Obahiagbon, Radwa Ewaisha, B. Katchman, K. Kaftanoglu, Hany M Arafa, D. Kullman, K. Anderson, J. Christen","doi":"10.1109/HIC.2016.7797720","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797720","url":null,"abstract":"The high per patient cost of quantitative, high-sensitivity molecular diagnostics is one of the key roadblocks limiting the transition of this technology from the clinical laboratory to point-of-care diagnostics in low-to-middle income countries (LMICs). As a solution, we present a low-cost system architecture for fluorescence-based point-of-care diagnostics using small volume patient sera samples. Our approach combines an inexpensive 4-site microscope slide reader with low per patient cost consumables using conventional glass microscope slides, pre-printed with biorecognition molecules. We use a neuromorphic-inspired, charge-integrating readout circuit architecture combined with optical filters in a sandwich-style configuration to achieve high-sensitivity while trading off detection time and number of biorecognition sites per slide. Our demonstrated lower limit of detection using Nile Red fluorescent microspheres was a 1,000,000:1 dilution corresponding to approximately 200 microspheres per detection site, approaching the sensitivity of a conventional high-cost desktop clinical laboratory microscope slide reader.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129609206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and thermal assessment of a blue light emitting diode phototherapy device for neonatal jaundice treatment in Kangaroo mother care","authors":"Luis Jimenez, L. Vilcahuaman, Jorge Galdos","doi":"10.1109/HIC.2016.7797691","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797691","url":null,"abstract":"A flexible blue LED mattress has been designed and built, it is capable of providing therapeutic blue light irradiance for treating neonatal jaundice. Its 25 × 10 cm size and 60 g weight allows the mother to use it during kangaroo mother care and illuminate the back and posterior part of the neonate head. A method to estimate the thermal energy transfer from the LED mattress to a neonate has been carried out using thermal mannequins in order to assess thermal safety. One mannequin represents a late pre-term neonate of 2.35 Kg, cast on silicone rubber containing 650 ml of water, the other mannequin represents the anterior part of a mother torso with silicone rubber skin; both mannequins are heated by nicrom wire inside them; the power is controlled in a closed loop by means of a microcontroller based system. The mannequins have been arranged in kangaroo mother care position, held to one another by an elastic rubber band making \"skin to skin\" contact. Results: Mean blue light irradiance in the contact surface is 350 uW/cm2, the LED matress draws 0.98 Watt from a 12 Volt battery. Heat transfer from the mattress to the neonatal mannequin has been indirectly measured as 0.395 W. Maximum temperature in the contact surface is 2.75 oC above neonatal mannequin skin temperature.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, P. Wood, P. Boulanger, R. Padwal
{"title":"Continuous blood pressure prediction from pulse transit time using ECG and PPG signals","authors":"Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, P. Wood, P. Boulanger, R. Padwal","doi":"10.1109/HIC.2016.7797728","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797728","url":null,"abstract":"High blood pressure (BP) is the most common cause of death and disability in the world, and is the largest contributor to heart and kidney disease. Current methods of measuring and monitoring blood pressure require either invasive procedures or intermittent inflation of a cuff to restrict blood flow. Thus a non-invasive method for continuous blood pressure monitoring is needed. Pulse transit time (PTT), has been reported to be highly correlated with blood pressure but data examining the effect of posture and activity on PTT based BP estimation are very limited. In this paper, PTT was computed using the windowed correlation between ECG and PPG signals. Continuous blood pressure was estimated using a previously published linear regression model. In fourteen healthy subjects, BP was estimated using PTT in 5 different positions (recumbent, seated, standing, walking, cycling) for each subject according to a preset protocol. Accuracy was increased when sparsified, preprocessed PPG signals were used. Furthermore, the observed errors of PTT measurement were within 1% of manual PTT measurement. The Root-Mean-Squared Errors (RMSE) in systolic and diastolic blood pressure between the reference standard oscillometric cuff-based device and the estimated BP from PTT were lowest when seated or standing and highest when walking or cycling. The mean difference ±standard deviation (SD) of the difference between the PTT-based estimated systolic BP and the reference standard was 0.07±5.8 mmHg in the seated position; however, this increased to 4.4±20.9 and 10.2±16.0 when walking and cycling respectively. Therefore, PTT-based BP estimation was reasonably accurate while stationary but not during motion and further improvements in estimation are required before its use for the estimation of ambulatory BP.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Love, W. Berg, C. Podilchuk, A. L. López Aldrete, A. G. Mascareno, A. Jairaj, L. Barinov, W. Hulbert, R. Mammone
{"title":"Breast cancer triage CAD for low resource countries using low-cost ultrasound and minimally-trained operators","authors":"S. Love, W. Berg, C. Podilchuk, A. L. López Aldrete, A. G. Mascareno, A. Jairaj, L. Barinov, W. Hulbert, R. Mammone","doi":"10.1109/HIC.2016.7797736","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797736","url":null,"abstract":"We propose an automated breast cancer triage CAD system using machine vision on low-cost, portable ultrasound imaging devices. We demonstrate that the triage CAD software can effectively analyze images captured by minimally-trained operators and output one of three assessments - benign, probably benign (6-month follow-up recommended) and suspicious (biopsy recommended). This system opens up the possibility of offering practical, cost-effective breast cancer diagnosis for symptomatic women in economically developing countries.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125294129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sumaiya Shomaji, A. Basak, Soumyajit Mandai, Robert Karam, S. Bhunia
{"title":"A wearable carotid ultrasound assembly for early detection of cardiovascular diseases","authors":"Sumaiya Shomaji, A. Basak, Soumyajit Mandai, Robert Karam, S. Bhunia","doi":"10.1109/HIC.2016.7797686","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797686","url":null,"abstract":"Cardiovascular disease is currently responsible for a major portion of all global deaths. Fortunately, early detection of its symptoms can greatly contribute to effective prevention. Hence, clinicians recommend routine cardiovascular check-ups. Even though various methods for cardiac diagnosis exist, most of them are clinic-based, and therefore time-consuming and costly. Therefore, it is not always possible for patients to go through these procedures on a regular basis. In this paper, we propose a novel wearable ultrasonic imaging assembly for routine, easy-to-use, and economical monitoring of the carotid arteries. The device monitors intima-media thickness (IMT), which is a proven clinically useful marker for diagnosis of cardiovascular disease and prediction of imminent cardiovascular events. It uses standard B-mode ultrasound, which is suitable for implementation within area- and power-constrained wearable form factors. We present design parameters and power requirements for all the essential hardware components of the proposed wearable imaging system. We also present an efficient algorithm for predicting IMT anomalies from ultrasound images.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121499427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}