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https://www.readbyqxmd.com/read/28227995/comparison-of-pulse-wave-velocity-derived-from-accelerometer-and-reflective-photo-plethysmography-signals-placed-at-the-carotid-and-femoral-artery
#1
Jens Muehlsteff, Erik Bresch, Lars Schmitt, Jos Gelissen, Peter Bingley, Jens Muehlsteff, Erik Bresch, Lars Schmitt, Jos Gelissen, Peter Bingley, Jos Gelissen, Peter Bingley, Lars Schmitt, Jens Muehlsteff, Erik Bresch
Carotid - femoral pulse wave velocity is an established measure to assess cardiovascular risk and an interesting surrogate parameter towards non-invasive continuous blood pressure inference. Due to progress in sensing technologies for wearable wrist worn sensors, there are low cost sensor combinations of photo-plethysmography and high fidelity accelerometers available offering access to pulse information from larger arteries complemented by blood volume changes in the superficial tissue. In this work we compare pulse wave velocities derived from accelerometer and reflective photo-plethysmography signals placed at the carotid and femoral artery...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227951/smartsock-a-wearable-platform-for-context-aware-assessment-of-ankle-edema
#2
Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh, Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. The current approaches toward edema assessment are conducted during clinical visits. In-clinic assessments, in addition to being burdensome and expensive, are sometimes not reliable and neglect important contextual factors such as patient's physical activity level and body posture...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227948/stayfit-a-wearable-application-for-gym-based-power-training
#3
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Rangavittal Narayanan, Vijay N Tiwari, Vivek Jilla, Aman Gaurav, Maram Maheedhar
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227925/principal-component-analysis-can-decrease-neural-networks-performance-for-incipient-falls-detection-a-preliminary-study-with-hands-and-feet-accelerations
#4
Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera, Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls as quickly and reliably as possible. Blind source separation (BSS) methods are often used as a preprocessing step before classification, however the effects of BSS on classification performance are not well understood. The aim of this work is to preliminarily characterize the effect that two methods, namely Principal and Independent Component Analysis (PCA and ICA) and their combined use have on the performance of a neural network in detecting incipient falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227918/longitudinal-wearable-tremor-measurement-system-with-activity-recognition-algorithms-for-upper-limb-tremor
#5
Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim
Assessments of tremor characteristics by movement disorder physicians are usually done at single time points in clinic settings, so that the description of the tremor does not take into account the dependence of the tremor on specific behavioral situations. Moreover, treatment-induced changes in tremor or behavior cannot be quantitatively tracked for extended periods of time. We developed a wearable tremor measurement system with tremor and activity recognition algorithms for long-term upper limb behavior tracking, to characterize tremor characteristics and treatment effects in their daily lives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227848/motion-noise-cancellation-in-seismocardiogram-of-ambulant-subjects-with-dual-sensors
#6
Chenxi Yang, Negar Tavassolian, Chenxi Yang, Negar Tavassolian, Negar Tavassolian, Chenxi Yang
This paper presents a dual-sensor method of extracting seismocardiographic (SCG) data from moving adult subjects using chest-worn wireless MEMS accelerometers. A digital signal processing (DSP) system including a normalized least means square (NLMS) adaptive filter is designed and tested in MATLAB. Data results from 10 subjects indicate a detection rate of 98.72% which outperforms our previously-proposed single-sensor scheme. Various sensor positons and possible failure mechanisms are also investigated to further evaluate the system performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227822/a-wrist-worn-spo2-monitor-with-custom-finger-probe-for-motion-artifact-removal
#7
S P Preejith, Akshay S Ravindran, Rohan Hajare, Jayaraj Joseph, Mohanasankar Sivaprakasam, S P Preejith, Akshay S Ravindran, Rohan Hajare, Jayaraj Joseph, Mohanasankar Sivaprakasam, Akshay S Ravindran, Rohan Hajare, Sp Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
Continuous monitoring of blood oxygen saturation (SpO2) level and heart rate is critical in surgery, ICUs and patients suffering from Chronic Obstructive Pulmonary Diseases. Pulse oximeters which compute SpO2 using transmittance photoplethysmography (PPG), is widely accepted for continuous monitoring. Presence of motion artifacts in PPG signals is a major obstacle in the extraction of reliable cardiovascular parameters, in real time and continuous monitoring applications. In this paper, a wrist worn device with a custom finger probe with an integrated accelerometer to remove motion artifacts is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227711/detection-of-fetal-kicks-using-body-worn-accelerometers-during-pregnancy-trade-offs-between-sensors-number-and-positioning
#8
Marco Altini, Patrick Mullan, Michiel Rooijakkers, Stefan Gradl, Julien Penders, Nele Geusens, Lars Grieten, Bjoern Eskofier, Marco Altini, Patrick Mullan, Michiel Rooijakkers, Stefan Gradl, Julien Penders, Nele Geusens, Lars Grieten, Bjoern Eskofier, Julien Penders, Michiel Rooijakkers, Nele Geusens, Stefan Gradl, Patrick Mullan, Lars Grieten, Bjoern Eskofier, Marco Altini
Monitoring fetal wellbeing is key in modern obstetrics. While fetal movement is routinely used as a proxy to fetal wellbeing, accurate, noninvasive, long-term monitoring of fetal movement is challenging. A few accelerometer-based systems have been developed in the past few years, to tackle common issues in ultrasound measurement and enable remote, self-administrated monitoring of fetal movement during pregnancy. However, many questions remain unanswered to date on the optimal setup in terms of body-worn accelerometers as well as signal processing and machine learning techniques used to detect fetal movement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227706/skin-mounted-accelerometer-system-for-measuring-knee-range-of-motion
#9
Ryan S McGinnis, Shyamal Patel, Ikaro Silva, Nikhil Mahadevan, Steve DiCristofaro, Elise Jortberg, Melissa Ceruolo, A J Aranyosi, Ryan S McGinnis, Shyamal Patel, Ikaro Silva, Nikhil Mahadevan, Steve DiCristofaro, Elise Jortberg, Melissa Ceruolo, A J Aranyosi, A J Aranyosi, Melissa Ceruolo, Ikaro Silva, Steve DiCristofaro, Elise Jortberg, Ryan S McGinnis, Shyamal Patel, Nikhil Mahadevan
Sufficient range of motion of the knee joint is necessary for performing many activities of daily living. Ambulatory monitoring of knee function can provide valuable information about progression of diseases like knee osteoarthritis and recovery after surgical interventions like total knee arthroplasty. In this paper, we describe a skin-mounted, conformal, accelerometer-based system for measuring knee angle and range of motion that does not require a skilled operator to apply devices. We establish the accuracy of this technique with respect to clinical gold standard goniometric measurements on a dataset collected from normative subjects during the performance of repeated bouts of knee flexion and extension tests...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227695/implantable-gastric-electric-stimulator-with-automatic-daily-activity-compliance-reporting
#10
Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Rose Province, Antonio J Torres, Eri Takami, Javier J Sanchez, Antonio J Torres, Rose Province
In order for any obesity therapy to be successful real behavior change by the individual is required. We present an implantable obesity therapy that combines gastric electrical stimulation for satiety with onboard sensors that provide self-monitoring for the patient and compliance reporting to the clinician. An algorithm for processing data from the onboard three axis accelerometer for use in physical activity monitoring was developed and validated. Four obese patients participated in a study where self-reported sleep and exercise was compared with the events detected by the implanted system, and two commercially available, wearable activity monitors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227635/identifying-the-number-and-location-of-body-worn-sensors-to-accurately-classify-walking-transferring-and-sedentary-activities
#11
Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Stephen N Robinovitch, Edward J Park, Omar Aziz, Edward J Park, Stephen N Robinovitch
In order to perform fall risk assessments using wearable inertial sensors in older adults in their natural settings where falls are likely to occur, a first step is to automatically segment and classify sensor signals of human movements into the known `activities of interest'. Sensor data from such activities can later be used through quantitative and qualitative analysis for differentiating fallers from non-fallers. In this study, ten young adults participated in experimental trials involving several variations of walking, transferring and sedentary activities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#12
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227616/contactless-on-bed-activity-sensing-using-first-reflection-echolocation
#13
Henry Griffith, Yan Shi, Subir Biswas, Henry Griffith, Yan Shi, Subir Biswas, Henry Griffith, Subir Biswas, Yan Shi
A novel system capable of detecting on-bed activity during sleep using first-reflection ultrasonic echolocation is described herein. As is employed in many existing solutions, such activity detection may be utilized in the assessment of sleep quality. Compared to current approaches using either wearable devices or sensors collocated on the surface of the bed, the proposed architecture greatly enhances convenience for the end-user by providing minimal disruptions to his or her standard sleep routine. A series of experiments were conducted in order to investigate the capacity of the system to detect activity during sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227614/portable-prescreening-system-for-sleep-apnea
#14
Martin Kjaer Guul, Poul Jennum, Helge B D Sorensen, Martin Kjaer Guul, Poul Jennum, Helge B D Sorensen, Martin Kjaer Guul, Helge B D Sorensen, Poul Jennum
Obstructive sleep apnea (OSA) occurs in more than 4 % of the adult population. Diagnoses for OSA in sleep clinics are costly and more than half of those submitted to a sleep clinic do not have OSA. A simple, easy, and portable homebased monitoring system to evaluate who are in high-or low risk of suffering from OSA would be beneficial. The system must be able to identify individuals with a high pre-test reliability regarding OSA with the aim of referral and further investigation. We aimed to develop a portable, smartphone, and homebased monitoring system to classify whether a patient screened for sleep apnea is at high risk or low risk of having OSA...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227608/a-triboelectric-motion-sensor-in-wearable-body-sensor-network-for-human-activity-recognition
#15
Hui Huang, Xian Li, Ye Sun, Hui Huang, Xian Li, Ye Sun, Ye Sun, Hui Huang, Xian Li
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity recognition is widely used in well-being management, medical diagnosis and rehabilitation. Other than traditional accelerometers, we design a novel wearable sensor system based on triboelectrification. The triboelectric motion sensor can be easily attached to human body and collect motion signals caused by physical activities. The experiments are conducted to collect five common activity data: sitting and standing, walking, climbing upstairs, downstairs, and running...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227606/video-analysis-validation-of-a-real-time-physical-activity-detection-algorithm-based-on-a-single-waist-mounted-tri-axial-accelerometer-sensor
#16
Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Jorunn L Helbostad, Alan K Bourke, John Nelson, Pepijn Van de Ven, Espen Af Ihlen
We have validated a real-time activity classification algorithm based on monitoring by a body worn system which is potentially suitable for low-power applications on a relatively computationally lightweight processing unit. The algorithm output was validated using annotation data generated from video recordings of 20 elderly volunteers performing both a semi-structured protocol and a free-living protocol. The algorithm correctly identified sitting 75.1% of the time, standing 68.8% of the time, lying 50.9% of the time, and walking and other upright locomotion 82...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227605/an-accelerometer-based-system-to-measure-myocardial-performance-index-during-stress-testing
#17
Anh Dinh, Francis M Bui, Tam Nguyen, Anh Dinh, Francis M Bui, Tam Nguyen, Tam Nguyen, Anh Dinh, Francis M Bui
Stress testing is used to measure the performance of the heart in an elevated stress state, in order to monitor or diagnose certain heart problems. Many measurements can be used to determine the performance of the heart, with the Tei index being the measurement of interest in this work. The Tei index has been used as a reliable method to evaluate systolic and diastolic performance, as it overcomes some limitations of the classical echocardiographic indices. It is calculated based on the time intervals derived from echocardiography...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227589/uhf-wearable-battery-free-sensor-module-for-activity-and-falling-detection
#18
Nam Trung Dang, Thang Viet Tran, Wan-Young Chung, Nam Trung Dang, Thang Viet Tran, Wan-Young Chung, Thang Viet Tran, Wan-Young Chung, Nam Trung Dang
Falling is one of the most serious medical and social problems in aging population. Therefore taking care of the elderly by detecting activity and falling for preventing and mitigating the injuries caused by falls needs to be concerned. This study proposes a wearable, wireless, battery free ultra-high frequency (UHF) smart sensor tag module for falling and activity detection. The proposed tag is powered by UHF RF wave from reader and read by a standard UHF Electronic Product Code (EPC) Class-1 Generation-2 reader...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227582/reconfigurable-analog-classifier-for-knee-joint-rehabilitation
#19
Sahil Shah, Hakan Toreyin, Omer T Inan, Jennifer Hasler, Sahil Shah, Hakan Toreyin, Omer T Inan, Jennifer Hasler, Sahil Shah, Jennifer Hasler, Omer T Inan, Hakan Toreyin
We present a System-On-Chip Field Programmable Analog Array (FPAA) for analyzing and processing the signals off an accelerometer for a wearable joint health assessment device. FPAAs have been shown to compute with an efficiency of 1000 times, as well as area efficiencies of 100 times, more than digital solutions. This work presents a low power signal processing system which allows us to extract features from the output of the accelerometer. These features are used by the classifier, implemented using a vector matrix multiplication and a two output 1-winner-take-all, to detect flexion and extension cycles in the subject...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227570/vo2-estimation-using-6-axis-motion-sensor-with-sports-activity-classification
#20
Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Takashi Kawabata, Shinsuke Hara
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calculate the energy expenditure, however, its accuracy depends on the intensities of various types of activities. In order to achieve high accuracy over a wide range of intensities, we employ an estimation framework that first classifies activities with a simple machine-learning based classification algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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