scholarly journals DBD-RCO: Derivative Based Detection and Reverse Combinatorial Optimization to improve heart beat detection for wearable devices

2017 ◽  
Author(s):  
Andrea Bizzego ◽  
Cesare Furlanello
Keyword(s):  
Combinatorial Optimization ◽  
Wearable Sensors ◽  
Real Life ◽  
Wearable Devices ◽  
Heart Beat ◽  
The Novel ◽  
Signal Processing Algorithms ◽  
Life Context ◽  
Movement Artifacts ◽  
Heart Physiology

AbstractThe diffusion of wearable sensors enables the monitoring of heart physiology in real-life contexts. Wearable technology is characterized by important advantages but also by technical limitations that affect the quality of the collected signals in terms of movement artifacts and presence of noise. Therefore specific signal processing algorithms are required to cope with the lower quality and different characteristic of signals collected with wearable sensor units. Here we propose and validate a pipeline to detect heartbeats in cardiac signals, extract the Inter Beat Intervals (IBI) and compute the Heart Rate Variability (HRV) indicators from wearable devices. In particular, we describe the novel Derivative-Based Detection (DBD) algorithm to estimate the beat position in Blood Volume Pulse (BVP) signals and the Reverse Combinatorial Optimization (RCO) algorithm to identify and correct IBI extraction errors. The pipeline is first validated on data from clinical-grade sensors, then on a benchmark dataset including examples of movement artifacts in a real-life context. The accuracy of the DBD algorithm is assessed in terms of precision and recall of the detection; error in the IBI values is quantified by root mean square error. The reliability of HRV indicators is evaluated by the Bland-Altman ratio. The DBD algorithm performs better than a state-of-art algorithm for both medical-grade and wearable devices. However, as already found in similar studies, worse reliability is found with the BVP signal in computing frequency domain HRV indicators, in particular with wearable devices.

scholarly journals Feasibility of continuous fever monitoring using wearable devices

2020 ◽  
Author(s):  
Benjamin Smarr ◽  
Kirstin Aschbacher ◽  
Sarah M. Fisher ◽  
Anoushka Chowdhary ◽  
Stephan Dilchert ◽  
...  
Keyword(s):  
Large Scale ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Temperature Sensors ◽  
Physiological Data ◽  
High Temporal Resolution ◽  
The Novel ◽  
Illness Onset ◽  
Novel Coronavirus ◽  
Peripheral Temperature

Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.

scholarly journals Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1849 ◽  
Author(s):  
Yekta Said Can ◽  
Niaz Chalabianloo ◽  
Deniz Ekiz ◽  
Cem Ersoy
Keyword(s):  
Detection System ◽  
Wearable Sensors ◽  
Real Life ◽  
Extraction Methods ◽  
Wearable Devices ◽  
Physiological Data ◽  
Stress Detection ◽  
Negative Effects ◽  
Extreme Stress ◽  
High Level

The negative effects of mental stress on human health has been known for decades. High-level stress must be detected at early stages to prevent these negative effects. After the emergence of wearable devices that could be part of our lives, researchers have started detecting extreme stress of individuals with them during daily routines. Initial experiments were performed in laboratory environments and recently a number of works took a step outside the laboratory environment to the real-life. We developed an automatic stress detection system using physiological signals obtained from unobtrusive smart wearable devices which can be carried during the daily life routines of individuals. This system has modality-specific artifact removal and feature extraction methods for real-life conditions. We further tested our system in a real-life setting with collected physiological data from 21 participants of an algorithmic programming contest for nine days. This event had lectures, contests as well as free time. By using heart activity, skin conductance and accelerometer signals, we successfully discriminated contest stress, relatively higher cognitive load (lecture) and relaxed time activities by using different machine learning methods.

scholarly journals Feasibility of continuous fever monitoring using wearable devices

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Benjamin L. Smarr ◽  
Kirstin Aschbacher ◽  
Sarah M. Fisher ◽  
Anoushka Chowdhary ◽  
Stephan Dilchert ◽  
...  
Keyword(s):  
Large Scale ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Temperature Sensors ◽  
Physiological Data ◽  
High Temporal Resolution ◽  
The Novel ◽  
Illness Onset ◽  
Novel Coronavirus ◽  
Peripheral Temperature

AbstractElevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.

Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body

2021 ◽  
Vol 24 (3) ◽  
pp. 30-34
Author(s):  
Rishi Shukla ◽  
Neev Kiran ◽  
Rui Wang ◽  
Jeremy Gummeson ◽  
Sunghoon Ivan Lee
Keyword(s):  
Energy Source ◽  
Low Power ◽  
Human Body ◽  
Wearable Sensors ◽  
Primary Energy ◽  
Wearable Devices ◽  
Ultra Low Power ◽  
The Past ◽  
Key Barrier

Over the past few decades, we have witnessed tremendous advancements in semiconductor and MEMS technologies, leading to the proliferation of ultra-miniaturized and ultra-low-power (in micro-watt ranges) wearable devices for wellness and healthcare [1]. Most of these wearable sensors are battery powered for their operation. The use of an on-device battery as the primary energy source poses a number of challenges that serve as the key barrier to the development of novel wearable applications and the widespread use of numerous, seamless wearable sensors [5].

The Feasibility and Effectiveness of Wearable Sensor Technology in the Management of Elderly Diabetics with Foot Ulcer Remission: A Proof-Of-Concept Pilot Study with Six Cases

Gerontology ◽  
2021 ◽  
pp. 1-10
Author(s):  
Chenzhen Du ◽  
Hongyan Wang ◽  
Heming Chen ◽  
Xiaoyun Fan ◽  
Dongliang Liu ◽  
...  
Keyword(s):  
Odds Ratio ◽  
Stride Length ◽  
Wearable Sensors ◽  
Foot Ulcer ◽  
Wearable Devices ◽  
Foot Ulcers ◽  
Diabetic Patients ◽  
Wearable Sensor ◽  
Double Support ◽  
Gait Parameters

Aims: Using specials wearable sensors, we explored changes in gait and balance parameters, over time, in elderly patients at high risk of diabetic foot, wearing different types of footwear. This assessed the relationship between gait and balance changes in elderly diabetic patients and the development of foot ulcers, in a bid to uncover potential benefits of wearable devices in the prognosis and management of the aforementioned complication. Methods: A wearable sensor-based monitoring system was used in middle-elderly patients with diabetes who recently recovered from neuropathic plantar foot ulcers. A total of 6 patients (age range: 55–80 years) were divided into 2 groups: the therapeutic footwear group (n = 3) and the regular footwear (n = 3) group. All subjects were assessed for gait and balance throughout the study period. Walking ability and gait pattern were assessed by allowing participants to walk normally for 1 min at habitual speed. The balance assessment program incorporated the “feet together” standing test and the instrumented modified Clinical Test of Sensory Integration and Balance. Biomechanical information was monitored at least 3 times. Results: We found significant differences in stride length (p < 0.0001), stride velocity (p < 0.0001), and double support (p < 0.0001) between the offloading footwear group (OG) and the regular footwear group on a group × time interaction. The balance test embracing eyes-open condition revealed a significant difference in Hip Sway (p = 0.004), COM Range ML (p = 0.008), and COM Position (p = 0.004) between the 2 groups. Longitudinally, the offloading group exhibited slight improvement in the performance of gait parameters over time. The stride length (odds ratio 3.54, 95% CI 1.34–9.34, p = 0.018) and velocity (odds ratio 3.13, 95% CI 1.19–8.19, p = 0.033) of OG patients increased, converse to the double-support period (odds ratio 6.20, 95% CI 1.97–19.55, p = 0.002), which decreased. Conclusions: Special wearable devices can accurately monitor gait and balance parameters in patients in real time. The finding reveals the feasibility and effectiveness of advanced wearable sensors in the prevention and management of diabetic foot ulcer and provides a solid background for future research. In addition, the development of foot ulcers in elderly diabetic patients may be associated with changes in gait parameters and the nature of footwear. Even so, larger follow-up studies are needed to validate our findings.

scholarly journals Recent Advances in Wearable Devices for Non-Invasive Sensing

2021 ◽  
Vol 11 (3) ◽  
pp. 1235
Author(s):  
Su Min Yun ◽  
Moohyun Kim ◽  
Yong Won Kwon ◽  
Hyobeom Kim ◽  
Mi Jung Kim ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Data Transmission ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Wireless Power ◽  
Non Invasive ◽  
Sensing Systems ◽  
Recent Advances ◽  
Wearable Systems ◽  
Precise Diagnosis

The development of wearable sensors is aimed at enabling continuous real-time health monitoring, which leads to timely and precise diagnosis anytime and anywhere. Unlike conventional wearable sensors that are somewhat bulky, rigid, and planar, research for next-generation wearable sensors has been focused on establishing fully-wearable systems. To attain such excellent wearability while providing accurate and reliable measurements, fabrication strategies should include (1) proper choices of materials and structural designs, (2) constructing efficient wireless power and data transmission systems, and (3) developing highly-integrated sensing systems. Herein, we discuss recent advances in wearable devices for non-invasive sensing, with focuses on materials design, nano/microfabrication, sensors, wireless technologies, and the integration of those.

SonicFace

2021 ◽  
Vol 5 (4) ◽  
pp. 1-33
Author(s):  
Yang Gao ◽  
Yincheng Jin ◽  
Seokmin Choi ◽  
Jiyang Li ◽  
Junjie Pan ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Microphone Array ◽  
Wearable Sensors ◽  
Real Life ◽  
Privacy Concerns ◽  
Fine Grained ◽  
Recognition Of Facial Expressions ◽  
Ubiquitous Sensing ◽  
Contact Free

Accurate recognition of facial expressions and emotional gestures is promising to understand the audience's feedback and engagement on the entertainment content. Existing methods are primarily based on various cameras or wearable sensors, which either raise privacy concerns or demand extra devices. To this aim, we propose a novel ubiquitous sensing system based on the commodity microphone array --- SonicFace, which provides an accessible, unobtrusive, contact-free, and privacy-preserving solution to monitor the user's emotional expressions continuously without playing hearable sound. SonicFace utilizes a pair of speaker and microphone array to recognize various fine-grained facial expressions and emotional hand gestures by emitted ultrasound and received echoes. Based on a set of experimental evaluations, the accuracy of recognizing 6 common facial expressions and 4 emotional gestures can reach around 80%. Besides, the extensive system evaluations with distinct configurations and an extended real-life case study have demonstrated the robustness and generalizability of the proposed SonicFace system.

scholarly journals Woman’s Suppression in Azab dan Sengsara: A Feminist Perspective

2017 ◽  
Vol 4 (1) ◽  
pp. 37-51
Author(s):  
Siti Hafsah
Keyword(s):  
Qualitative Method ◽  
Real Life ◽  
Feminist Perspective ◽  
Material Object ◽  
The Novel ◽  
Literary Sociology ◽  
A Company

Azab dan Sengsara is an Indonesian novel written by Merari Siregar (1921), one of the famous roman novelists in Indonesia in Balai Pustaka era. The novel is a material object of the present study. The study aims at revealing oppression, violence, exploitation of woman and all varieties of injustice to woman, revealing social symptoms ideological forms containing in the novel as a manifestation of a company condition in old era. This research uses a qualitative method and approaches of literary feminist and literary sociology as its support. This research succeeds in answering the problems of woman life, as manifestation of real life which reflects kinds of woman’s life in society of Indonesian, for example: marriage, custom, violence, etc. for the hero “Mariamin” (a woman). She is the manifestation of the authority life, besides talking on oppression of woman images of its community lives. The author succeeded offering solutions with various contradictions, conflicts, handling down the novel as manifestation in real life.

scholarly journals Tilsynekomstens politik. Om virkelighedsmodellering i Joseph Conrads Nostromo

2011 ◽  
Vol 39 (111) ◽  
pp. 7-26
Author(s):  
Jonas Kjærgård Laursen
Keyword(s):  
Real Life ◽  
The Novel ◽  
Human Consciousness ◽  
Politics And Literature ◽  
Ideological Criticism ◽  
Jacques Ranciere ◽  
Politics Of Literature ◽  
Material Interests ◽  
Political Problem ◽  
Novelistic Form

POLITICS OF APPEARANCE. ON REALITY MODELLING IN JOSEPH CONRAD’S NOSTROMOArtistically Nostromo is arguably the most ambitious of Joseph Conrad’s novels. It is also without a doubt the most explicitly political in that it openly engages with the question of how capitalism, imperialism, and revolution affect the human consciousness. There is however no agreement as to how this political problem is to be understood or, more precisely, what kind of understanding of the interrelationship between politics and literature is necessary when engaging this artwork. As a necessary supplement to both a 60’s Marxist reading and readings from the 70’s and 80’s dealing with ideological criticism, this article suggests a reading focusing on how the text creates a model of society by reconfiguring certain real life elements. By developing a specific artistic idiom Nostromo attempts to show the very limited view of the whole of society caused by, in the wording of the novel, the material interests of imperial capitalism. Under the inspiration of both Jurij Lotman and Jacques Rancière the analysis presented here is able to address some key political insights that appear as a consequence of the novelistic form when understood as a relatively autonomous model of society. And that is what is meant by the expression politics of appearance: the politics of literature is to be analysed as something generated by the specific gestalt of the text, as something that comes into sight with – and only with – the text.

scholarly journals Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Simon Glew ◽  
Elizabeth M Ford ◽  
Helen Elizabeth Smith
Keyword(s):  
Real Life ◽  
Correct Selection ◽  
Free Text ◽  
The Novel ◽  
Face To Face ◽  
Full Compliance ◽  
Electronic Healthcare Record ◽  
Novel Method ◽  
Quality Rating ◽  
Selection Of Descriptors

Introduction and Objectives The accuracy of conclusions based on Electronic Healthcare Record (EHR) research is highly dependent on the correct selection of descriptors (codes) by users. We aimed to evaluate the feasibility and acceptability of filmed vignette monologues as a resource-light method of assessing and comparing how different EHR users record the same clinical scenario. Methods Six short monologues of actors portraying patients presenting allergic conditions to their General Practitioners were filmed head-on then electronically distributed for the study; no researcher was present during data collection. The method was assessed by participant uptake, reported ease of completion by participants, compliance with instructions, the receipt of interpretable data by researchers, and participant perceptions of vignette quality, realism and information content. Results 22 participants completed the study, reporting only minor difficulties. 132 screen prints were returned electronically, enabling analysis of codes, free text and EHR features. Participants assigned a quality rating of 7.7/10 (range 2-10) to the vignettes and rated the extent to which vignettes reflected real-life (86-100%). Between 1 and 2 hours were required to complete the task. Full compliance with instructions varied between participants but was largely successful. Conclusions Filmed monologues are a reproducible, standardized method which require few resources, yet allow clear assessment of clinicians’ and EHRs systems’ impact on documentation. The novel nature of this method necessitates clear instructions so participants can fully complete the study without face to face researcher oversight.

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