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Wearable recording devices

Hui Li, Jingbo Li, Xiaohong Zhou, Jianrong Zhao, Fengru Zhang, Liqun Wu, Hong Shen, Qing Wan, Jing Huang, Shungang Yang, Ping Wang
Heart failure patients have a high incidence of chronotropic incompetence (CI) that receives less clinical attention. This study assessed a method using wearable devices to identify CI in heart failure patients. Twenty-six heart failure patients (LVEF: 43.9  ±  5.7% with LVEF  ⩾40% in 19 patients; age: 52.8  ±  12.4 years, female patients  =  6) were enrolled. Each patient underwent symptom-limited treadmill maximal exercise testing during which the simultaneous recording of ECG Holter and physical activity using Actigraph was conducted...
October 18, 2016: Physiological Measurement
Steven Steinhubl
Despite having the basic tools necessary to appropriately identify and manage individuals with hypertension for over half a century it remains the single greatest contributing risk factor to morbidity and mortality worldwide today. Since diagnosis and effective treatment availability are not issues, this major failing in care can be attributed to inadequate systems of care: systems that have led to only <20% of hypertensive individuals globally having their blood pressure adequately controlled. Even in the US, where it is one of the most common reasons for a primary care visit, and with over $42...
September 2016: Journal of Hypertension
David Hernando, Nuria Garatachea, Rute Almeida, Jose Antonio Casajús, Raquel Bailón
Heart rate variability (HRV) analysis during exercise is an interesting non-invasive tool to measure the cardiovascular response to the stress of exercise. Wearable heart rate monitors are a comfortable option to measure RR intervals while doing physical activities. It is necessary to evaluate the agreement between HRV parameters derived from the RR series recorded by wearable devices and those derived from an ECG during dynamic exercise of low to high intensity.23 male volunteers performed an exercise stress test on a cycle ergometer...
September 27, 2016: Journal of Strength and Conditioning Research
Tieh-Cheng Fu, Wen-Chen Lin, Jong-Shyan Wang, Chao-Hung Wang, Chun-Tien Chang, Cheng-Lun Tsai, Yun-Shien Lee, Kang-Ping Lin
Exercise periodic breathing (EPB) is associated with exercise intolerance and poor prognosis in patients with heart failure (HF). However, EPB detection during cardiopulmonary exercise test (CPET) is difficult. The present study investigated the use of a wireless monitoring device to record the EPB during CPET and proposed quantization parameter estimates for the EPB. A total of 445 patients with HF were enrolled and underwent exercise tests. The ventilation data from the wearable device were compared with the data obtained during the CPET and were analyzed based on professional opinion and on 2 automated programs (decision tree [DT] and oscillatory pattern methods)...
October 15, 2016: Medical & Biological Engineering & Computing
Ming Dai, Xueliang Xiao, Xin Chen, Haoming Lin, Wanqing Wu, Siping Chen
With the increasing aging population as well as health concerns, chronic heart disease has become the focus of public attention. A comfortable, low-powered, and wearable electrocardiogram (ECG) system for continuously monitoring the elderly's ECG signals over several hours is important for preventing cardiovascular diseases. Traditional ECG monitoring apparatus is often inconvenient to carry, has many electrodes to attach to the chest, and has a high-power consumption. There is also a challenge to design an electrocardiograph that satisfies requirements such as comfort, confinement, and compactness...
October 14, 2016: Australasian Physical & Engineering Sciences in Medicine
Jesus Minguillon, Miguel A Lopez-Gordo, Francisco Pelayo
Stress assessment has been under study in the last years. Both biochemical and physiological markers have been used to measure stress level. In neuroscience, several studies have related modification of stress level to brain activity changes in limbic system and frontal regions, by using non-invasive techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). In particular, previous studies suggested that the exhibition or inhibition of certain brain rhythms in frontal cortical areas indicates stress...
2016: Frontiers in Computational Neuroscience
Sammy Krachunov, Alexander J Casson
Electroencephalography (EEG) is a procedure that records brain activity in a non-invasive manner. The cost and size of EEG devices has decreased in recent years, facilitating a growing interest in wearable EEG that can be used out-of-the-lab for a wide range of applications, from epilepsy diagnosis, to stroke rehabilitation, to Brain-Computer Interfaces (BCI). A major obstacle for these emerging applications is the wet electrodes, which are used as part of the EEG setup. These electrodes are attached to the human scalp using a conductive gel, which can be uncomfortable to the subject, causes skin irritation, and some gels have poor long-term stability...
October 2, 2016: Sensors
David Looney, Valentin Goverdovsky, Ivana Rosenzweig, Mary J Morrell, Danilo P Mandic
RATIONALE: To date the only quantifiable measure of neural changes that define sleep is electroencephalography (EEG). Although widely used for clinical testing, scalp-electrode EEG is costly and poorly tolerated by sleeping patients. OBJECTIVES: This is a pilot study to assess the agreement between EEG recordings obtained from a new ear-EEG sensor and those obtained simultaneously from standard scalp electrodes. METHODS: Participants were 4 healthy men, ages 25 to 36 years...
September 29, 2016: Annals of the American Thoracic Society
Ryan R Kroll, J Gordon Boyd, David M Maslove
BACKGROUND: As the sensing capabilities of wearable devices improve, there is increasing interest in their application in medical settings. Capabilities such as heart rate monitoring may be useful in hospitalized patients as a means of enhancing routine monitoring or as part of an early warning system to detect clinical deterioration. OBJECTIVE: To evaluate the accuracy of heart rate monitoring by a personal fitness tracker (PFT) among hospital inpatients. METHODS: We conducted a prospective observational study of 50 stable patients in the intensive care unit who each completed 24 hours of heart rate monitoring using a wrist-worn PFT...
2016: Journal of Medical Internet Research
Steven Steinhubl
Despite having the basic tools necessary to appropriately identify and manage individuals with hypertension for over half a century it remains the single greatest contributing risk factor to morbidity and mortality worldwide today. Since diagnosis and effective treatment availability are not issues, this major failing in care can be attributed to inadequate systems of care: systems that have led to only <20% of hypertensive individuals globally having their blood pressure adequately controlled. Even in the US, where it is one of the most common reasons for a primary care visit, and with over $42...
September 2016: Journal of Hypertension
Jos J Kraal, Francesco Sartor, Gabriele Papini, Wim Stut, Niels Peek, Hareld Mc Kemps, Alberto G Bonomi
BACKGROUND: Accurate assessment of energy expenditure provides an opportunity to monitor physical activity during cardiac rehabilitation. However, the available assessment methods, based on the combination of heart rate (HR) and body movement data, are not applicable for patients using beta-blocker medication. Therefore, we developed an energy expenditure prediction model for beta-blocker-medicated cardiac rehabilitation patients. METHODS: Sixteen male cardiac rehabilitation patients (age: 55...
November 2016: European Journal of Preventive Cardiology
Jianjun Luo, Wei Tang, Feng Ru Fan, Chaofeng Liu, Yaokun Pang, Guozhong Cao, Zhong Lin Wang
Portable and wearable personal electronics and smart security systems are accelerating the development of transparent, flexible, and thin-film electronic devices. Here, we report a transparent and flexible self-charging power film (SCPF) that functions either as a power generator integrated with an energy storage unit or as a self-powered information input matrix. The SCPF possesses the capability of harvesting mechanical energy from finger motions, based on the coupling between the contact electrification and electrostatic induction effects, and meanwhile storing the generated energy...
August 23, 2016: ACS Nano
Santiago Guerrero, Gwendal Dujardin, Alejandro Cabrera-Andrade, César Paz-Y-Miño, Alberto Indacochea, Marta Inglés-Ferrándiz, Hima Priyanka Nadimpalli, Nicola Collu, Yann Dublanche, Ismael De Mingo, David Camargo
Electronic laboratory notebooks (ELNs) will probably replace paper laboratory notebooks (PLNs) in academic research due to their advantages in data recording, sharing and security. Despite several reports describing technical characteristics of ELNs and their advantages over PLNs, no study has directly tested ELN performance among researchers. In addition, the usage of tablet-based devices or wearable technology as ELN complements has never been explored in the field. To implement an ELN in our biomedical research institute, here we first present a technical comparison of six ELNs using 42 parameters...
2016: PloS One
Yangjian Huang, Junkai Xu, Bo Yu, Peter B Shull
BACKGROUND: Increased physical activity can provide numerous health benefits. The relationship between physical activity and health assumes reliable activity measurements including step count and distance traveled. This study assessed step count and distance accuracy for Nike+ FuelBand, Jawbone UP 24, Fitbit One, Fitbit Flex, Fitbit Zip, Garmin Vivofit, Yamax CW-701, and Omron HJ-321 during level, upstairs, and downstairs walking in healthy adults. METHODS: Forty subjects walked on flat ground (400m), upstairs (176 steps), and downstairs (176 steps), and a subset of 10 subjects performed treadmill walking trials to assess the influence of walking speed on accuracy...
July 2016: Gait & Posture
Ahmet Turan Özdemir
Wearable devices for fall detection have received attention in academia and industry, because falls are very dangerous, especially for elderly people, and if immediate aid is not provided, it may result in death. However, some predictive devices are not easily worn by elderly people. In this work, a huge dataset, including 2520 tests, is employed to determine the best sensor placement location on the body and to reduce the number of sensor nodes for device ergonomics. During the tests, the volunteer's movements are recorded with six groups of sensors each with a triaxial (accelerometer, gyroscope and magnetometer) sensor, which is placed tightly on different parts of the body with special straps: head, chest, waist, right-wrist, right-thigh and right-ankle...
2016: Sensors
Tom Fawcett
The last several years have seen an explosion of interest in wearable computing, personal tracking devices, and the so-called quantified self (QS) movement. Quantified self involves ordinary people recording and analyzing numerous aspects of their lives to understand and improve themselves. This is now a mainstream phenomenon, attracting a great deal of attention, participation, and funding. As more people are attracted to the movement, companies are offering various new platforms (hardware and software) that allow ever more aspects of daily life to be tracked...
December 2015: Big Data
Claire L Bentley, Olubukola Otesile, Ruth Bacigalupo, Jackie Elliott, Hayley Noble, Mark S Hawley, Elizabeth A Williams, Peter Cudd
BACKGROUND: The study investigated the feasibility of conducting a future Randomised Controlled Trial (RCT) of a mobile health (mHealth) intervention for weight loss and HbA1c reduction in Type 2 Diabetes Mellitus (T2DM). METHODS: The intervention was a small wearable mHealth device used over 12 weeks by overweight people with T2DM with the intent to lose weight and reduce their HbA1c level. A 4 week maintenance period using the device followed. The device records physical activity level and information about food consumption, and provides motivational feedback based on energy balance...
2016: BMC Medical Informatics and Decision Making
Diana Cogan, Javad Birjandtalab, Mehrdad Nourani, Jay Harvey, Venkatesh Nagaraddi
Persons who suffer from intractable seizures are safer if attended when seizures strike. Consequently, there is a need for wearable devices capable of detecting both convulsive and nonconvulsive seizures in everyday life. We have developed a three-stage seizure detection methodology based on 339 h of data (26 seizures) collected from 10 patients in an epilepsy monitoring unit. Our intent is to develop a wearable system that will detect seizures, alert a caregiver and record the time of seizure in an electronic diary for the patient's physician...
April 7, 2016: International Journal of Neural Systems
Ahmed Alqaraawi, Ahmad Alwosheel, Amr Alasaad
Heart rate variability (HRV) has become a marker for various health and disease conditions. Photoplethysmography (PPG) sensors integrated in wearable devices such as smart watches and phones are widely used to measure heart activities. HRV requires accurate estimation of time interval between consecutive peaks in the PPG signal. However, PPG signal is very sensitive to motion artefact which may lead to poor HRV estimation if false peaks are detected. In this Letter, the authors propose a probabilistic approach based on Bayesian learning to better estimate HRV from PPG signal recorded by wearable devices and enhance the performance of the automatic multi scale-based peak detection (AMPD) algorithm used for peak detection...
June 2016: Healthcare Technology Letters
Aaron B Skolnik, Peter R Chai, Christian Dameff, Richard Gerkin, Jessica Monas, Angela Padilla-Jones, Steven Curry
BACKGROUND: Audiovisual streaming technologies allow detailed remote patient assessment and have been suggested to change management and enhance triage. The advent of wearable, head-mounted devices (HMDs) permits advanced teletoxicology at a relatively low cost. A previously published pilot study supports the feasibility of using the HMD Google Glass® (Google Inc.; Mountain View, CA) for teletoxicology consultation. This study examines the reliability, accuracy, and precision of the poisoned patient assessment when performed remotely via Google Glass®...
July 5, 2016: Journal of Medical Toxicology: Official Journal of the American College of Medical Toxicology
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