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https://www.readbyqxmd.com/read/29140281/non-contact-sensor-for-long-term-continuous-vital-signs-monitoring-a-review-on-intelligent-phased-array-doppler-sensor-design
#1
REVIEW
Travis Hall, Donald Y C Lie, Tam Q Nguyen, Jill C Mayeda, Paul E Lie, Jerry Lopez, Ron E Banister
It has been the dream of many scientists and engineers to realize a non-contact remote sensing system that can perform continuous, accurate and long-term monitoring of human vital signs as we have seen in many Sci-Fi movies. Having an intelligible sensor system that can measure and record key vital signs (such as heart rates and respiration rates) remotely and continuously without touching the patients, for example, can be an invaluable tool for physicians who need to make rapid life-and-death decisions. Such a sensor system can also effectively help physicians and patients making better informed decisions when patients' long-term vital signs data is available...
November 15, 2017: Sensors
https://www.readbyqxmd.com/read/29126580/codebook-based-electrooculography-data-analysis-towards-cognitive-activity-recognition
#2
P Lagodzinski, K Shirahama, M Grzegorzek
With the advancement in mobile/wearable technology, people started to use a variety of sensing devices to track their daily activities as well as health and fitness conditions in order to improve the quality of life. This work addresses an idea of eye movement analysis, which due to the strong correlation with cognitive tasks can be successfully utilized in activity recognition. Eye movements are recorded using an electrooculographic (EOG) system built into the frames of glasses, which can be worn more unobtrusively and comfortably than other devices...
October 28, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29114238/long-term-monitoring-gait-analysis-using-a-wearable-device-in-daily-lives-of-patients-with-parkinson-s-disease-the-efficacy-of-selegiline-hydrochloride-for-gait-disturbance
#3
Mutsumi Iijima, Hiroshi Mitoma, Shinichiro Uchiyama, Kazuo Kitagawa
Objective: The aim of this study was to assess quantitatively the gait disorders in the daily lives of patients with Parkinson's disease (PD) using with a newly developed portable gait rhythmogram (PGR), which has a trunk-mounted acceleration sensor and automatic gait-detection algorithm. Methods: Using the PGR, we recorded the daily walking profiles of 14 PD patients before and after the addition or increase in dose of an MAO-B inhibitor (selegiline, average dose: 4...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/29078023/designing-metallic-and-insulating-nanocrystal-heterostructures-to-fabricate-highly-sensitive-and-solution-processed-strain-gauges-for-wearable-sensors
#4
Woo Seok Lee, Seung-Wook Lee, Hyungmok Joh, Mingi Seong, Haneun Kim, Min Su Kang, Ki-Hyun Cho, Yun-Mo Sung, Soong Ju Oh
All-solution processed, high-performance wearable strain sensors are demonstrated using heterostructure nanocrystal (NC) solids. By incorporating insulating artificial atoms of CdSe quantum dot NCs into metallic artificial atoms of Au NC thin film matrix, metal-insulator heterostructures are designed. This hybrid structure results in a shift close to the percolation threshold, modifying the charge transport mechanism and enhancing sensitivity in accordance with the site percolation theory. The number of electrical pathways is also manipulated by creating nanocracks to further increase its sensitivity, inspired from the bond percolation theory...
October 27, 2017: Small
https://www.readbyqxmd.com/read/29071387/-ventricular-arrhythmias-what-has-been-confirmed-in-therapy
#5
REVIEW
D Duncker, J Bauersachs, C Veltmann
Ventricular arrhythmias include a wide range of potentially benign single ventricular premature contractions to ventricular tachycardia and ventricular fibrillation with a risk for sudden cardiac death. The diagnosis of ventricular arrhythmia is made by 12-lead electrocardiogram, 24 h Holter monitoring, an external or implantable loop recorder, or during in-hospital monitoring. Especially the diagnosis of wide complex tachycardias is challenging in terms of differentiating between ventricular tachycardia and supraventricular tachycardia with aberrant atrioventricular conduction...
October 25, 2017: Der Internist
https://www.readbyqxmd.com/read/29066881/entropy-change-of-biological-dynamics-in-copd
#6
REVIEW
Yu Jin, Chang Chen, Zhixin Cao, Baoqing Sun, Iek Long Lo, Tzu-Ming Liu, Jun Zheng, Shixue Sun, Yan Shi, Xiaohua Douglas Zhang
In this century, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of large amount of data in human physiological signals. Entropy is a key metric for quantifying the irregularity contained in physiological signals. In this review, we focus on how entropy changes in various physiological signals in COPD. Our review concludes that the entropy change relies on the types of physiological signals under investigation...
2017: International Journal of Chronic Obstructive Pulmonary Disease
https://www.readbyqxmd.com/read/29060915/feature-extraction-techniques-for-low-power-ambulatory-wheeze-detection-wearables
#7
Jyotibdha Acharya, Arindam Basu, Wee Ser
Presence of wheezes in breathing sounds has been associated with several respiratory and pulmonary diseases. In this paper we present a novel low-complexity wheeze detection method based on frequency contour tracking for automatic wheeze detection. Two hardware friendly variants of the algorithm have also been proposed. Applying the proposed feature extraction algorithm we achieved very high classification accuracy (> 99%) at considerably low computational complexity (3×-6×) compared to earlier methods and the power consumption of the proposed method is shown to be significantly less (70×-100×) compared to `record and transmit' strategy in wearable devices...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060883/a-wearable-hand-gesture-recognition-device-based-on-acoustic-measurements-at-wrist
#8
Nabeel Siddiqui, Rosa H M Chan
This paper investigates hand gesture recognition from acoustic measurements at wrist for the development of a low-cost wearable human-computer interaction (HCI) device. A prototype with 5 microphone sensors on human wrist is benchmarked in hand gesture recognition performance by identifying 36 gestures in American Sign Language (ASL). Three subjects were recruited to perform over 20 trials for each set of hand gestures, including 26 ASL alphabets and 10 ASL numbers. Ten features were extracted from the signal recorded by each sensor...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060583/a-mental-fatigue-index-based-on-regression-using-mulitband-eeg-features-with-application-in-simulated-driving
#9
Georgios N Dimitrakopoulos, Ioannis Kakkos, Nitish V Thakor, Anastasios Bezerianos, Yu Sun
Development of accurate fatigue level prediction models is of great importance for driving safety. In parallel, a limited number of sensors is a prerequisite for development of applicable wearable devices. Several EEG-based studies so far have performed classification in two or few levels, while others have proposed indices based on power ratios. Here, we utilized a regression Random Forest model in order to provide more accurate continuous fatigue level prediction. In detail, multiband power features were extracted from EEG data recorded from one hour simulated driving task...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060379/iot-m2m-wearable-based-activity-calorie-monitoring-and-analysis-for-elders
#10
Sabrina I Soraya, Ting-Hui Chiang, Guo-Jing Chan, Yi-Juan Su, Chih-Wei Yi, Yu-Chee Tseng, Yu-Tai Ching
With the growth of aging population, elder care service has become an important part of the service industry of Internet of Things. Activity monitoring is one of the most important services in the field of the elderly care service. In this paper, we proposed a wearable solution to provide an activity monitoring service on elders for caregivers. The system uses wireless signals to estimate calorie burned by the walking and localization. In addition, it also uses wireless motion sensors to recognize physical activity, such as drinking and restroom activity...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060216/novel-blood-pressure-estimation-method-using-single-photoplethysmography-feature
#11
Yang Chen, Shuo Cheng, Tong Wang, Ting Ma
Continuous blood pressure (BP) monitoring has a significant meaning to the prevention and early diagnosis of cardiovascular disease. However, existing continuous BP monitoring approaches, especially cuff-less BP monitoring approaches, are all contraptions which complex and huge computation required. For example, for the most sophisticated cuff-less BP monitoring method using pulse transit time (PTT), the simultaneous record of photoplethysmography (PPG) signal and electrocardiography (ECG) are required, and various measurement of characteristic points are needed...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060141/design-of-the-wearable-device-for-hemiplegic-gait-detection-using-an-accelerometer-and-a-gyroscope
#12
Sooji Park, Jun Seok Lee, Jaekyung Kwak, Hangsik Shin
Hemiplegic walking is the main symptom of hemiplegia and is the basis for judging the outcome or severity of hemiplegia. In this study, we developed a wearable measurement module for measuring the inertia signal generated during walking and evaluated the possibility of gait measurement as a basic study of the new hemiplegia diagnosis technology using wearable device. The developed measurement module is worn on the waist. It is equipped with 3-axis acceleration sensor and 3-axis angular velocity sensor and has the function to transmit and record data through wireless communication...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059997/the-splendid-chewing-detection-challenge
#13
Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
Monitoring of eating behavior using wearable technology is receiving increased attention, driven by the recent advances in wearable devices and mobile phones. One particularly interesting aspect of eating behavior is the monitoring of chewing activity and eating occurrences. There are several chewing sensor types and chewing detection algorithms proposed in the bibliography, however no datasets are publicly available to facilitate evaluation and further research. In this paper, we present a multi-modal dataset of over 60 hours of recordings from 14 participants in semi-free living conditions, collected in the context of the SPLENDID project...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059850/rodent-wearable-ultrasound-system-for-wireless-neural-recording
#14
David K Piech, Joshua E Kay, Bernhard E Boser, Michel M Maharbiz
Advances in minimally-invasive, distributed biological interface nodes enable possibilities for networks of sensors and actuators to connect the brain with external devices. The recent development of the neural dust sensor mote has shown that utilizing ultrasound backscatter communication enables untethered sub-mm neural recording devices. These implanted sensor motes require a wearable external ultrasound interrogation device to enable in-vivo, freely-behaving neural interface experiments. However, minimizing the complexity and size of the implanted sensors shifts the power and processing burden to the external interrogator...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29058215/entropy-for-the-complexity-of-physiological-signal-dynamics
#15
Xiaohua Douglas Zhang
Recently, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of biological dynamics. Portable noninvasive medical devices are crucial to capture individual characteristics of biological dynamics. The wearable noninvasive medical devices and the analysis/management of related digital medical data will revolutionize the management and treatment of diseases, subsequently resulting in the establishment of a new healthcare system...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/29051136/using-google-glass-in-nonsurgical-medical-settings-systematic-review
#16
Bryn Dougherty, Sherif M Badawy
BACKGROUND: Wearable technologies provide users hands-free access to computer functions and are becoming increasingly popular on both the consumer market and in various industries. The medical industry has pioneered research and implementation of head-mounted wearable devices, such as Google Glass. Most of this research has focused on surgical interventions; however, other medical fields have begun to explore the potential of this technology to support both patients and clinicians. OBJECTIVE: Our aim was to systematically evaluate the feasibility, usability, and acceptability of using Google Glass in nonsurgical medical settings and to determine the benefits, limitations, and future directions of its application...
October 19, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/29037757/testing-smart-glasses-in-urology-clinical-and-surgical-potential-applications
#17
E García-Cruz, A Bretonnet, A Alcaraz
OBJECTIVES: We aimed to explore the potential benefits of using smart glasses - wearable computer optical devices with touch-less command features - in the surgery room and in outpatient care settings in urology. MATERIALS AND METHODS: Between April and November 2015, 80 urologists were invited to use Google Glass in their daily surgical and clinical practice, and to share them with other urologists. Participants rated the usefulness of smart glasses on a 10-point scale, and provided insights on their potential benefits in a telephone interview...
October 13, 2017: Actas Urologicas Españolas
https://www.readbyqxmd.com/read/29035519/hydrothermally-activated-graphene-fiber-fabrics-for-textile-electrodes-of-supercapacitors
#18
Zheng Li, Tieqi Huang, Weiwei Gao, Zhen Xu, Dan Chang, Chunxiao Zhang, Chao Gao
Carbon textiles are promising electrode materials for wearable energy storage devices owing to their conductive, flexible, and lightweight features. However, there still lacks a perfect choice for high-performance carbon textile electrodes with sufficient electrochemical activity. Graphene fiber fabrics (GFFs) are newly discovered carbon textiles, exhibiting various attractive properties, especially a large variability on the microstructure. Here we report the fabrication of hierarchical GFFs with significantly enlarged specific surface area using a hydrothermal activation strategy...
October 18, 2017: ACS Nano
https://www.readbyqxmd.com/read/29031926/monitoring-driver-fatigue-using-a-single-channel-electroencephalographic-device-a-validation-study-by-gaze-based-driving-performance-and-subjective-data
#19
José M Morales, Carolina Díaz-Piedra, Héctor Rieiro, Joaquín Roca-González, Samuel Romero, Andrés Catena, Luis J Fuentes, Leandro L Di Stasi
Driver fatigue can impair performance as much as alcohol does. It is the most important road safety concern, causing thousands of accidents and fatalities every year. Thanks to technological developments, wearable, single-channel EEG devices are now getting considerable attention as fatigue monitors, as they could help drivers to assess their own levels of fatigue and, therefore, prevent the deterioration of performance. However, the few studies that have used single-channel EEG devices to investigate the physiological effects of driver fatigue have had inconsistent results, and the question of whether we can monitor driver fatigue reliably with these EEG devices remains open...
October 12, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/29027928/automated-epileptic-seizure-detection-based-on-wearable-ecg-and-ppg-in-a-hospital-environment
#20
Kaat Vandecasteele, Thomas De Cooman, Ying Gu, Evy Cleeren, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi
Electrocardiography has added value to automatically detect seizures in temporal lobe epilepsy (TLE) patients. The wired hospital system is not suited for a long-term seizure detection system at home. To address this need, the performance of two wearable devices, based on electrocardiography (ECG) and photoplethysmography (PPG), are compared with hospital ECG using an existing seizure detection algorithm. This algorithm classifies the seizures on the basis of heart rate features, extracted from the heart rate increase...
October 13, 2017: Sensors
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