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Wearable recording devices

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https://www.readbyqxmd.com/read/28931933/buckling-structured-stretchable-pseudocapacitor-yarn
#1
Duck Weon Lee, Jung Han Lee, Nam Ki Min, Joon-Hyung Jin
Cable-type stretchable electrochemical pseudocapacitors based on multi-walled carbon nanotube (MWCNT) sheets and two different metal oxide nanopowders (NP), i.e., MnO2 and RuO2 are developed using a newly-devised dry painting method to mechanically fix the NP to the elastic rubber-based MWCNT electrode substrate, resulting in a porous buckling structured pseudocapacitor yarn. Highly stretchable stylene-ethylene/butylene-stylene (SEBS) is used as the supporting elastomeric core for wrapping with the MWCNT sheets and the electroactive NP...
September 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28899023/the-circadian-profile-of-epilepsy-improves-seizure-forecasting
#2
Philippa J Karoly, Hoameng Ung, David B Grayden, Levin Kuhlmann, Kent Leyde, Mark J Cook, Dean R Freestone
It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day, and which are highly patient-specific. However, these dynamics are not typically incorporated into seizure prediction algorithms due to the difficulty of estimating patient-specific rhythms from relatively short-term or unreliable data sources. This work outlines a novel framework to develop and assess seizure forecasts, and demonstrates that the predictive power of forecasting models is improved by circadian information...
August 1, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28887351/using-predictive-analytics-and-big-data-to-optimize-pharmaceutical-outcomes
#3
Inmaculada Hernandez, Yuting Zhang
PURPOSE: The steps involved, the resources needed, and the challenges associated with applying predictive analytics in healthcare are described, with a review of successful applications of predictive analytics in implementing population health management interventions that target medication-related patient outcomes. SUMMARY: In healthcare, the term big data typically refers to large quantities of electronic health record, administrative claims, and clinical trial data as well as data collected from smartphone applications, wearable devices, social media, and personal genomics services; predictive analytics refers to innovative methods of analysis developed to overcome challenges associated with big data, including a variety of statistical techniques ranging from predictive modeling to machine learning to data mining...
September 15, 2017: American Journal of Health-system Pharmacy: AJHP
https://www.readbyqxmd.com/read/28846610/a-qrs-detection-and-r-point-recognition-method-for-wearable-single-lead-ecg-devices
#4
Chieh-Li Chen, Chun-Te Chuang
In the new-generation wearable Electrocardiogram (ECG) system, signal processing with low power consumption is required to transmit data when detecting dangerous rhythms and to record signals when detecting abnormal rhythms. The QRS complex is a combination of three of the graphic deflection seen on a typical ECG. This study proposes a real-time QRS detection and R point recognition method with low computational complexity while maintaining a high accuracy. The enhancement of QRS segments and restraining of P and T waves are carried out by the proposed ECG signal transformation, which also leads to the elimination of baseline wandering...
August 26, 2017: Sensors
https://www.readbyqxmd.com/read/28842392/clinical-validation-of-heart-rate-apps-mixed-methods-evaluation-study
#5
Thijs Vandenberk, Jelle Stans, Gertjan Van Schelvergem, Caroline Pelckmans, Christophe Jp Smeets, Dorien Lanssens, Hélène De Cannière, Valerie Storms, Inge M Thijs, Pieter M Vandervoort
BACKGROUND: Photoplethysmography (PPG) is a proven way to measure heart rate (HR). This technology is already available in smartphones, which allows measuring HR only by using the smartphone. Given the widespread availability of smartphones, this creates a scalable way to enable mobile HR monitoring. An essential precondition is that these technologies are as reliable and accurate as the current clinical (gold) standards. At this moment, there is no consensus on a gold standard method for the validation of HR apps...
August 25, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28840587/study-design-and-rationale-for-biomedical-shirt-based-electrocardiography-monitoring-in-relevant-clinical-situations-ecg-shirt-study
#6
Paweł Balsam, Piotr Lodziński, Agata Tymińska, Krzysztof Ozierański, Łukasz Januszkiewicz, Renata Główczyńska, Katarzyna Wesołowska, Michał Peller, Radosław Pietrzak, Tomasz Książczyk, Sonia Borodzicz, Łukasz Kołtowski, Mariusz Borkowski, Bożena Werner, Grzegorz Opolski, Marcin Grabowski
BACKGROUND: Today, the main challenge for researchers is to develop new technologies which may help to improve the diagnoses of cardiovascular disease (CVD), thereby reducing healthcare costs and improving the quality of life for patients. This study aims to show the utility of biomedical shirt-based electrocardiography (ECG) monitoring of patients with CVD in different clinical situations using the Nuubo® ECG (nECG) system. METHODS: An investigator-initiated, multicentre, prospective observational study was carried out in a cardiology (adult and paediatric) and cardiac rehabilitation wards ...
August 25, 2017: Cardiology Journal
https://www.readbyqxmd.com/read/28836507/detection-of-atrial-fibrillation-using-an-earlobe-photoplethysmographic-sensor
#7
Thomas Conroy, Jairo Hernandez Guzman, Burr Hall, Gill Tsouri, Jean-Phillippe Couderc
Atrial Fibrillation (AF) is the most common cardiac arrhythmia in the world, associated with increased risk of thromboembolic events and an increased mortality rate. In addition, a significant portion of AF patients are asymptomatic. Current AF diagnostic methods, often including a body surface electrocardiogram or implantable loop recorder, are both expensive and invasive and offer limited access within the general community. Objective We tested the feasibility of the detection of AF using photoplethysmographic signal acquired from an inexpensive, non-invasive earlobe photoplethysmographic sensor...
August 24, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28814041/assessing-bradykinesia-in-parkinson-s-disease-using-gyroscope-signals
#8
S Summa, J Tosi, F Taffoni, L Di Biase, M Marano, A Cascio Rizzo, M Tombini, G Di Pino, D Formica
Parkinson's disease (PD) is a neurodegenerative brain disorder that slowly brings on the dopaminergic neurons death. The depletion of the dopaminergic signal causes the onset of motor symptoms such as tremor, bradykinesia and rigidity. Usually, neurologists regularly monitor motor symptoms and motor fluctuations using the MDS-UPDRS part III clinical scale. Nevertheless, to have a more objective and quantitative evaluation, it is possible to assess the cardinal motor symptoms of PD using wearable sensors and portable robotic devices...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813986/evaluation-of-the-myo-armband-for-the-classification-of-hand-motions
#9
I Mendez, B W Hansen, C M Grabow, E J L Smedegaard, N B Skogberg, X J Uth, A Bruhn, B Geng, E N Kamavuako
Pattern recognition-based control systems have been widely investigated in prostheses and virtual reality environments to improve amputees' quality of life. Most of these systems use surface electromyography (EMG) to detect user movement intentions. The Myo armband (MYB) is a wireless wearable device, developed by Thalmic Labs, which enables EMG recordings with a limited bandwidth (<100Hz). The aim of this study was to compare MYB's narrow bandwidth with a conventional EMG acquisition system (CONV) that captures the full EMG spectrum to assess its suitability for pattern recognition control...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28749359/systolic-time-interval-estimation-using-continuous-wave-radar-with-on-body-antennas
#10
Dilpreet Buxi, Evelien Hermeling, Marco Mercuri, Fabian Beutel, Roberto Garcia van der Westen, Tom Torfs, Jean-Michel Redoute, Mehmet Rasit Yuce
The estimation of systolic time interval (STI)s is done using continuous wave (CW) radar at 2.45GHz with an on-body antenna. MOTIVATION: In the state of the art, typically bioimpedance, heart sounds and / or ultrasound is used to measure STIs. All three methods suffer from insufficient accuracy of STI estimation due to various reasons. CW radar is investigated for its ability to overcome the deficiencies in the state of the art. METHODS: Ten healthy male subjects aged 25-45 were asked to lie down at a 30 degree incline...
July 25, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28747154/the-interplay-between-individual-social-behavior-and-clinical-symptoms-in-small-clustered-groups
#11
Piero Poletti, Roberto Visintainer, Bruno Lepri, Stefano Merler
BACKGROUND: Mixing patterns of human populations play a crucial role in shaping the spreading paths of infectious diseases. The diffusion of mobile and wearable devices able to record close proximity interactions represents a great opportunity for gathering detailed data on social interactions and mixing patterns in human populations. The aim of this study is to investigate how social interactions are affected by the onset of symptomatic conditions and to what extent the heterogeneity in human behavior can reflect a different risk of infection...
July 26, 2017: BMC Infectious Diseases
https://www.readbyqxmd.com/read/28737748/inflammation-free-gas-permeable-lightweight-stretchable-on-skin-electronics-with-nanomeshes
#12
Akihito Miyamoto, Sungwon Lee, Nawalage Florence Cooray, Sunghoon Lee, Mami Mori, Naoji Matsuhisa, Hanbit Jin, Leona Yoda, Tomoyuki Yokota, Akira Itoh, Masaki Sekino, Hiroshi Kawasaki, Tamotsu Ebihara, Masayuki Amagai, Takao Someya
Thin-film electronic devices can be integrated with skin for health monitoring and/or for interfacing with machines. Minimal invasiveness is highly desirable when applying wearable electronics directly onto human skin. However, manufacturing such on-skin electronics on planar substrates results in limited gas permeability. Therefore, it is necessary to systematically investigate their long-term physiological and psychological effects. As a demonstration of substrate-free electronics, here we show the successful fabrication of inflammation-free, highly gas-permeable, ultrathin, lightweight and stretchable sensors that can be directly laminated onto human skin for long periods of time, realized with a conductive nanomesh structure...
September 2017: Nature Nanotechnology
https://www.readbyqxmd.com/read/28727414/graphene-based-three-dimensional-capacitive-touch-sensor-for-wearable-electronics
#13
Minpyo Kang, Jejung Kim, Bongkyun Jang, Youngcheol Chae, Jae-Hyun Kim, Jong-Hyun Ahn
The development of input device technology in a conformal and stretchable format is important for the advancement of various wearable electronics. Herein, we report a capacitive touch sensor with good sensing capabilities in both contact and noncontact modes, enabled by the use of graphene and a thin device geometry. This device can be integrated with highly deformable areas of the human body, such as the forearms and palms. This touch sensor detects multiple touch signals in acute recordings and recognizes the distance and shape of the approaching objects before direct contact is made...
August 22, 2017: ACS Nano
https://www.readbyqxmd.com/read/28723207/wearable-flexible-and-multifunctional-healthcare-device-with-an-isfet-chemical-sensor-for-simultaneous-sweat-ph-and-skin-temperature-monitoring
#14
Shogo Nakata, Takayuki Arie, Seiji Akita, Kuniharu Takei
Real-time daily healthcare monitoring may increase the chances of predicting and diagnosing diseases in their early stages which, currently, occurs most frequently during medical check-ups. Next-generation noninvasive healthcare devices, such as flexible multifunctional sensor sheets designed to be worn on skin, are considered to be highly suitable candidates for continuous real-time health monitoring. For healthcare applications, acquiring data on the chemical state of the body, alongside physical characteristics such as body temperature and activity, are extremely important for predicting and identifying potential health conditions...
March 24, 2017: ACS Sensors
https://www.readbyqxmd.com/read/28714112/wearables-in-epilepsy-and-parkinson-s-disease-a-focus-group-study
#15
A Ozanne, D Johansson, U Hällgren Graneheim, K Malmgren, F Bergquist, M Alt Murphy
OBJECTIVES: Wearable sensors that measure movement and physiological variables are attractive for clinical evaluation of neurological diseases such as epilepsy and Parkinson's disease (PD). The aim of this study was to explore perceptions regarding the use of wearable technology in disease monitoring and management as reported by individuals with epilepsy and Parkinson's disease as well as health professionals working with these patient groups. MATERIALS AND METHODS: Six patient groups (n=25) and two groups with health professionals (n=15) participated in this qualitative, descriptive study with focus group interviews...
July 16, 2017: Acta Neurologica Scandinavica
https://www.readbyqxmd.com/read/28709155/variable-accuracy-of-wearable-heart-rate-monitors-during-aerobic-exercise
#16
Stephen Gillinov, Muhammad Etiwy, Robert Wang, Gordon Blackburn, Dermot Phelan, A Marc Gillinov, Penny Houghtaling, Hoda Javadikasgari, Milind Y Desai
PURPOSE: Athletes and members of the public increasingly rely on wearable HR monitors to guide physical activity and training. The accuracy of newer, optically based monitors is unconfirmed. We sought to assess the accuracy of five optically based HR monitors during various types of aerobic exercise. METHODS: Fifty healthy adult volunteers (mean ± SD age = 38 ± 12 yr, 54% female) completed exercise protocols on a treadmill, a stationary bicycle, and an elliptical trainer (±arm movement)...
August 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28705994/wearable-brain-imaging-with-multi-modal-physiological-recording
#17
Gary E Strangman, Vladimir Ivkovic, Quan Zhang
The brain is a central component of cognitive and physical human performance. Measures including functional brain activation, cerebral perfusion, cerebral oxygenation, evoked electrical responses, and resting hemodynamic and electrical activity are all related to, or can predict health status or performance decrements. However, measuring brain physiology typically requires large, stationary machines that are not suitable for mobile or self-monitoring. Moreover, when individuals are ambulatory, systemic physiological fluctuations-e...
July 13, 2017: Journal of Applied Physiology
https://www.readbyqxmd.com/read/28678697/in-ear-audio-wearable-measurement-of-heart-and-breathing-rates-for-health-and-safety-monitoring
#18
Alexis Martin, Jeremie Voix
OBJECTIVE: This paper examines the integration of a non-invasive vital sign monitoring feature into the workers' hearing protection devices (HPDs) by using a microphone positioned within the earcanal under the HPD. METHODS: 25 test-subjects were asked to breathe at various rhythms and intensities and these realistic sound events were recorded in the earcanal. Digital signal processing algorithms were then developed to assess heart and breathing rates. Finally, to test the robustness of theses algorithms in noisy work environments, industrial noise was added to the in-ear recorded signals and an adaptive denoising filter was used...
June 27, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28674650/an-adaptive-singular-spectrum-analysis-method-for-extracting-brain-rhythms-of-electroencephalography
#19
Hai Hu, Shengxin Guo, Ran Liu, Peng Wang
Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. Incorporating a novel grouping rule, we proposed an adaptive singular spectrum analysis (SSA) method for artifacts removal and rhythms extraction. Based on the EEG signal amplitude, the grouping rule determines adaptively the first one or two SSA reconstructed components as artifacts and removes them. The remaining reconstructed components are then grouped based on their peak frequencies in the Fourier transform to extract the desired rhythms...
2017: PeerJ
https://www.readbyqxmd.com/read/28666061/conditional-neuromodulation-of-neurogenic-detrusor-overactivity-using-transrectal-stimulation-in-patients-with-spinal-cord-injury-a-proof-of-principle-study
#20
Sarah Louise Knight, Nuwani Edirisinghe, Brian Leaker, Judith Susser, Michael Duncan Craggs
AIMS: A proof of principle study of a novel wearable device to control neurogenic detrusor over-activity in eight male spinal cord injured subjects using conditional neuromodulation. METHODS: Transrectal stimulation was delivered through the device in response to simultaneously recorded external anal sphincter (EAS) contraction as a marker for neurogenic detrusor overactivity (NDO). The effect of conditional neuromodulation on bladder capacity and maximum detrusor pressure was investigated in addition to reliability of dyssynergic sphincter contraction as a marker for NDO...
June 30, 2017: Neurourology and Urodynamics
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