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https://www.readbyqxmd.com/read/28231244/unexpectedly-high-leprosy-seroprevalence-detected-using-a-random-surveillance-strategy-in-midwestern-brazil-a-comparison-of-elisa-and-a-rapid-diagnostic-test
#1
Marco Andrey C Frade, Natália A de Paula, Ciro M Gomes, Sebastian Vernal, Fred Bernardes Filho, Helena B Lugão, Marilda M M de Abreu, Patrícia Botini, Malcolm S Duthie, John S Spencer, Rosa Castália F R Soares, Norma T Foss
BACKGROUND: Leprosy diagnosis is mainly based on clinical evaluation, although this approach is difficult, especially for untrained physicians. We conducted a temporary campaign to detect previously unknown leprosy cases in midwestern Brazil and to compare the performance of different serological tests. METHODS: A mobile clinic was stationed at the main bus terminal in Brasília, Brazil. Volunteers were quizzed and given a clinical exam to allow categorization as either patients, known contacts of patients or non-contacts, and blood was collected to determine anti-PGL-I and anti-LID-1 antibody titers by ELISA and by the NDO-LID rapid test...
February 23, 2017: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/28230757/simultaneous-quantification-of-nine-new-furanocoumarins-in-angelicae-dahuricae-radix-using-ultra-fast-liquid-chromatography-with-tandem-mass-spectrometry
#2
Lei Zhang, Wei Wei, Xiu-Wei Yang
A series of new furanocoumarins with long-chain hydrophobic groups, namely andafocoumarins A-H and J, have been isolated from the dried roots of Angelica dahurica cv. Hangbaizhi (Angelicae Dahuricae radix) in our previous study, among which andafocoumarins A and B were demonstrated to have better anti-inflammatory activity than the positive controls. In this work, a sensitive, accurate, and efficient ultra-fast liquid chromatography coupled with triple quadrupole mass spectrometer (UFLC-MS/MS) method was developed and validated for simultaneous quantification of above-mentioned nine compounds in four cultivars of Angelicae Dahuricae Radix...
February 20, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28229377/important-treatment-outcomes-for-patients-with-psoriatic-arthritis-a-multisite-qualitative-study
#3
Emma Dures, Sarah Hewlett, Jane Lord, Clive Bowen, Neil McHugh, William Tillett
BACKGROUND: Psoriatic arthritis (PsA) is a variable and complex inflammatory condition. Symptoms can compromise physical function, reduce quality of life, and accrue significant health costs. Commonly used patient-reported outcomes largely reflect the professionals' perspective, however it is not known whether they capture what is important to patients. OBJECTIVE: The aim of our study was to identify treatment outcomes important to patients with PsA. METHODS: Eight focus groups that were audio recorded, transcribed, anonymised and analysed using inductive thematic analysis were conducted at five hospital sites...
February 22, 2017: Patient
https://www.readbyqxmd.com/read/28228369/feasibility-of-implementing-a-patient-centered-postoperative-wound-monitoring-program-using-smartphone-images-a-pilot-protocol
#4
Sara Fernandes-Taylor, Rebecca L Gunter, Kyla M Bennett, Lola Awoyinka, Shahrose Rahman, Caprice C Greenberg, K Craig Kent
BACKGROUND: Surgical site infections (SSI) represent a significant public health problem as the most common nosocomial infection and a leading cause of unplanned hospital readmissions among surgical patients. Many develop following hospital discharge and often go unrecognized by patients. Telemedicine offers the opportunity to leverage the mobile technology to remotely monitor wound recovery in the transitional period between hospital discharge and routine clinic follow-up. However, many existing telemedicine platforms are episodic, replacing routine follow-up, rather than equipped for continued monitoring; they include only low-risk patient populations and those who already have access to and comfort with the necessary technology; and transmit no visual information...
February 22, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28228115/weight-loss-and-exercise-for-communities-with-arthritis-in-north-carolina-we-can-design-and-rationale-of-a-pragmatic-assessor-blinded-randomized-controlled-trial
#5
Stephen P Messier, Leigh F Callahan, Daniel P Beavers, Kate Queen, Shannon L Mihalko, Gary D Miller, Elena Losina, Jeffrey N Katz, Richard F Loeser, Sara A Quandt, Paul DeVita, David J Hunter, Mary F Lyles, Jovita Newman, Betsy Hackney, Joanne M Jordan
BACKGROUND: Recently, we determined that in a rigorously monitored environment an intensive diet-induced weight loss of 10% combined with exercise was significantly more effective at reducing pain in men and women with symptomatic knee osteoarthritis (OA) than either intervention alone. Compared to previous long-term weight loss and exercise trials of knee OA, our intensive diet-induced weight loss and exercise intervention was twice as effective at reducing pain intensity. Whether these results can be generalized to less intensively monitored cohorts is unknown...
February 22, 2017: BMC Musculoskeletal Disorders
https://www.readbyqxmd.com/read/28227805/modular-multipin-electrodes-for-comfortable-dry-eeg
#6
P Fiedler, D Strohmeier, A Hunold, S Griebel, R Muhle, M Schreiber, P Pedrosa, B Vasconcelos, C Fonseca, F Vaz, J Haueisen, P Fiedler, D Strohmeier, A Hunold, S Griebel, R Muhle, M Schreiber, P Pedrosa, B Vasconcelos, C Fonseca, F Vaz, J Haueisen, P Pedrosa, F Vaz, P Fiedler, B Vasconcelos, J Haueisen, M Schreiber, R Muhle, C Fonseca, S Griebel, D Strohmeier, A Hunold
Electrode and cap concepts for continuous and ubiquitous monitoring of brain activity will open up new fields of application and contribute to increased use of electroencephalography (EEG) in clinical routine, neurosciences, brain-computer-interfacing and out-of-the-lab monitoring. However, mobile and unobtrusive applications are currently hindered by the lack of applicable convenient and reliable electrode and cap systems. We propose a novel modular electrode concept based on a flexible polymer substrate, coated with electrically conductive metallic films...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227627/computation-offloading-for-real-time-health-monitoring-devices
#7
Haik Kalantarian, Costas Sideris, Tuan Le, Anahita Hosseini, Majid Sarrafzadeh, Haik Kalantarian, Costas Sideris, Tuan Le, Anahita Hosseini, Majid Sarrafzadeh, Costas Sideris, Majid Sarrafzadeh, Anahita Hosseini, Tuan Le, Haik Kalantarian
Among the major challenges in the development of real-time wearable health monitoring systems is to optimize battery life. One of the major techniques with which this objective can be achieved is computation offloading, in which portions of computation can be partitioned between the device and other resources such as a server or cloud. In this paper, we describe a novel dynamic computation offloading scheme for real-time wearable health monitoring devices that adjusts the partitioning of data between the wearable device and mobile application as a function of desired classification accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227615/smart-monitoring-of-fluid-intake-and-bladder-voiding-using-pressure-sensitive-mats
#8
Madison Cohen-McFarlane, James R Green, Frank Knoefel, Rafik Goubran, Madison Cohen-McFarlane, James R Green, Frank Knoefel, Rafik Goubran, Frank Knoefel, Madison Cohen-McFarlane, Rafik Goubran, James R Green
Pressure sensitive mats have been used in noninvasive smart monitoring for a variety of problems including breathing rate monitoring, sleep monitoring, mobility, and weight. This paper describes a proof of concept application of pressure mats to monitor fluid intake/output (fluid cycle) events during the night. The ability to more accurately track such events has potential implications for monitoring those individuals who have nocturia, a condition where a person wakes at night to urinate. Data were collected from a healthy young female subject instructed to drink as much water as was comfortable (700mL) and lie in a supine position on a mattress located directly on three pressure mats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227581/a-novel-system-to-tackle-hospital-acquired-pressure-ulcers
#9
B S Renganathan, S P Preejith, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam, B S Renganathan, S P Preejith, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam, S P Preejith, B S Renganathan, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam
Hospital acquired pressure ulcers (HAPUs) is a major problem that affects around one in twenty patients who are admitted in hospital with sudden illness. These ulcers often occur when patients have limited mobility and cannot change positions in bed on their own. Traditionally, the occurrence of HAPUs has been minimized by turning the patient every 2 hours to alternating lateral and supine positions, and by using pressure redistributing mattresses. In many healthcare facilities, such a patient repositioning schedule is not always maintained owing to low caregiver compliance to turning protocols...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227244/towards-development-of-a-mobile-rf-doppler-sensor-for-continuous-heart-rate-variability-and-blood-pressure-monitoring
#10
Insoo Kim, Yusuf A Bhagat, Insoo Kim, Yusuf A Bhagat, Insoo Kim, Yusuf A Bhagat
The standard in noninvasive blood pressure (BP) measurement is an inflatable cuff device based on the oscillometric method, which poses several practical challenges for continuous BP monitoring. Here, we present a novel ultra-wide band RF Doppler radar sensor for next-generation mobile interface for the purpose of characterizing fluid flow speeds, and for ultimately measuring cuffless blood flow in the human wrist. The system takes advantage of the 7.1~10.5 GHz ultra-wide band signals which can reduce transceiver complexity and power consumption overhead...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227243/assessment-of-pre-ejection-period-in-ambulatory-subjects-using-seismocardiogram-in-a-wearable-blood-pressure-monitor
#11
Guanqun Zhang, Amber C Cottrell, Isaac C Henry, Devin B McCombie, Guanqun Zhang, Amber C Cottrell, Isaac C Henry, Devin B McCombie, Isaac C Henry, Devin B McCombie, Amber C Cottrell, Guanqun Zhang
The ability to monitor arterial blood pressure continuously with unobtrusive body worn sensors may provide a unique and potentially valuable assessment of a patient's cardiovascular health. Pulse wave velocity (PWV) offers an attractive method to continuously monitoring blood pressure. However, PWV technologies based on timing measurements between the ECG and a distal PPG suffer from inaccuracies on mobile patients due to the confounding influence of pre-ejection period (PEP). In this paper, we presented a wearable, continuous blood pressure monitor (ViSi Mobile) that can measure and track changes in PEP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227186/aart-bc-a-sensor-system-for-monitoring-assistive-technology-use-beyond-the-clinic
#12
Christopher J James, James D Amor, Catherine Holloway, Tsu-Jui Cheng, Laurence Kenney, Christopher J James, James D Amor, Catherine Holloway, Tsu-Jui Cheng, Laurence Kenney, Tsu-Jui Cheng, Laurence Kenney, Christopher J James, Catherine Holloway, James D Amor
A wide range of assistive and rehabilitative technologies (ART) are available to assist with mobility and upper limb function. However, anecdotal evidence suggests many of the devices prescribed, or purchased, are either poorly used, or rejected entirely. This situation is costly, both for the healthcare provider and the user, and may be leading to secondary consequences, such as falls and/or social isolation. This paper reports on the development and initial feasibility testing of a system for monitoring when and how assistive devices are used outside of the clinic setting, and feeding this information to the device user themselves and/or prescribing clinician (where appropriate)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226908/s2ni-a-mobile-platform-for-nutrition-monitoring-from-spoken-data
#13
Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Hassan Ghasemzadeh, Cody A Reynolds, Naomi Chaytor, Niloofar Hezarjaribi, Drew T Miller
Diet and physical activity are important lifestyle and behavioral factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used in the past to objectively measure physical activity or detect eating time. Diet monitoring, however, still relies on self-recorded data by end users where individuals use mobile devices for recording nutrition intake by either entering text or taking images. Such approaches have shown low adherence in technology adoption and achieve only moderate accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#14
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226610/data-driven-estimation-of-blood-pressure-using-photoplethysmographic-signals
#15
Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang
Noninvasive measurement of blood pressure by optical methods receives considerable interest, but the complexity of the measurement and the difficulty of adjusting parameters restrict applications. We develop a method for estimating the systolic and diastolic blood pressure using a single-point optical recording of a photoplethysmographic (PPG) signal. The estimation is data-driven, we use automated machine learning algorithms instead of mathematical models. Combining supervised learning with a discrete wavelet transform, the method is insensitive to minor irregularities in the PPG waveform, hence both pulse oximeters and smartphone cameras can record the signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226585/monitoring-of-motor-and-non-motor-symptoms-of-parkinson-s-disease-through-a-mhealth-platform
#16
Jorge Cancela, Samanta Villanueva Mascato, Dimitrios Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spyros Konitsiotis, Angelo Antonini, Maria T Arredondo, Dimitrios I Fotiadis, Jorge Cancela, Samanta Villanueva Mascato, Dimitrios Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spyros Konitsiotis, Angelo Antonini, Maria T Arredondo, Dimitrios I Fotiadis, Samanta Villanueva Mascato, Maria T Arredondo, Angelo Antonini, Dimitrios Gatsios, Jorge Cancela, Robert Vilzmann, Giovanni Gentile, George Rigas, Andrea Marcante, Roberta Biundo, Spyros Konitsiotis, Maria Chondrogiorgi, Dimitrios I Fotiadis, Manuela Giglio
Parkinson's disease (PD) is a complex, chronic disease that many patients live with for many years. In this work we propose a mHealth approach based on a set of unobtrusive, simple-in-use, off-the-self, co-operative, mobile devices that will be used for motor and non-motor symptoms monitoring and evaluation, as well as for the detection of fluctuations along with their duration through a waking day. Ideally, a multidisciplinary and integrated care approach involving several professionals working together (neurologists, physiotherapists, psychologists and nutritionists) could provide a holistic management of the disease increasing the patient's independence and Quality of Life (QoL)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226583/recent-machine-learning-advancements-in-sensor-based-mobility-analysis-deep-learning-for-parkinson-s-disease-assessment
#17
Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Bjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, Fatemeh N Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato, Fatemeh N Golabchi, Gianluca Costante, Gloria Vergara-Diaz, Paolo Bonato, Gabriela Ferreira-Carvalho, Jean-Francois Daneault, Bjoern M Eskofier, Jochen Klucken, Sunghoon I Lee, Thomas Kautz, Stefano Sapienza
The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing methods suitable to monitor motor symptoms in and outside the clinic. The purpose of this paper was to investigate deep learning as a method for this monitoring. Deep learning recently broke records in speech and image classification, but it has not been fully investigated as a potential approach to analyze wearable sensor data. We collected data from ten patients with idiopathic Parkinson's disease using inertial measurement units...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226571/cuff-less-ppg-based-continuous-blood-pressure-monitoring-a-smartphone-based-approach
#18
Aman Gaurav, Maram Maheedhar, Vijay N Tiwari, Rangavittal Narayanan, Aman Gaurav, Maram Maheedhar, Vijay N Tiwari, Rangavittal Narayanan, Maram Maheedhar, Rangavittal Narayanan, Vijay N Tiwari, Aman Gaurav
Cuff-less estimation of systolic (SBP) and diastolic (DBP) blood pressure is an efficient approach for non-invasive and continuous monitoring of an individual's vitals. Although pulse transit time (PTT) based approaches have been successful in estimating the systolic and diastolic blood pressures to a reasonable degree of accuracy, there is still scope for improvement in terms of accuracies. Moreover, PTT approach requires data from sensors placed at two different locations along with individual calibration of physiological parameters for deriving correct estimation of systolic and diastolic blood pressure (BP) and hence is not suitable for smartphone deployment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226551/beat-to-beat-heart-rate-detection-by-smartphone-s-accelerometers-validation-with-ecg
#19
F Landreani, A Martin-Yebra, C Casellato, C Frigo, E Pavan, P-F Migeotte, E G Caiani, F Landreani, A Martin-Yebra, C Casellato, C Frigo, E Pavan, P-F Migeotte, E G Caiani, A Martin-Yebra, P-F Migeotte, Eg Caiani, F Landreani, C Casellato, C Frigo, E Pavan
: Mobile phones offer the possibility to monitor and track health parameters. Our aim was to test the feasibility and accuracy of measuring beat-to-beat heart rate using smartphone accelerometers by recording the vibrations generated by the heart during its function and transmitted to the chest wall, i.e. the so-called seismocardiographic signal (SCG). METHODS: 9 healthy male volunteers were studied in supine (SUP) and in standing (ST) posture. A smartphone (iPhone6, Apple) was positioned on the thorax (POS1) to acquire SCG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226549/an-ict-and-mobile-health-integrated-approach-to-optimize-patients-education-on-hypertension-and-its-management-by-physicians-the-patients-optimal-strategy-of-treatment-post-pilot-study
#20
Fabio Albini, Xiaoqiu Liu, Camilla Torlasco, Davide Soranna, Andrea Faini, Renata Ciminaghi, Ada Celsi, Matteo Benedetti, Antonella Zambon, Marco di Rienzo, Gianfranco Parati, Fabio Albini, Xiaoqiu Liu, Camilla Torlasco, Davide Soranna, Andrea Faini, Renata Ciminaghi, Ada Celsi, Matteo Benedetti, Antonella Zambon, Marco di Rienzo, Gianfranco Parati, Renata Ciminaghi, Marco di Rienzo, Davide Soranna, Ada Celsi, Gianfranco Parati, Fabio Albini, Antonella Zambon, Xiaoqiu Liu, Andrea Faini, Camilla Torlasco, Matteo Benedetti
INTRODUCTION: Uncontrolled hypertension is largely attributed to unsatisfactory doctor's engagement in its optimal management and to poor patients' compliance to therapeutic interventions. ICT and mobile Health solutions might improve these conditions, being widely available and providing highly effective communication strategies. OBJECTIVE: To evaluate whether ICT and mobile Health tools are able to improve hypertension control by improving doctors' engagement and by increasing patients' education and involvement, and their compliance to lifestyle modification and prescribed drug therapy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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