scholarly journals Commercially-available heart rate monitor repurposed into a 9-gram standalone device for automatic arrhythmia detection with snapshot electrocardiographic capability: a pilot validation.

2021 ◽  
Author(s):  
Nicola Gaibazzi ◽  
Claudio Reverberi ◽  
Domenico Tuttolomondo ◽  
Bernardo Di Maria
Keyword(s):  
Heart Rate ◽  
Real Life ◽  
Smartphone Application ◽  
High Rate ◽  
Cardiac Monitoring ◽  
Arrhythmia Detection ◽  
Low Weight ◽  
Screening Strategies ◽  
Missed Diagnosis ◽  
Electrocardiogram Ecg

Background: The usefulness of opportunistic arrhythmia screening strategies, using an electrocardiogram (ECG) or other methods for random snapshot assessments is limited by the unexpected and occasional nature of arrhythmias, leading to a high rate of missed-diagnosis. We have previously validated a cardiac monitoring system for AF detection pairing simple consumer-grade Bluetooth low-energy (BLE) heart rate (HR) sensors with a smartphone application (RITMIA, Heart Sentinel srl, Italy). In the current study we test a significant upgrade to the abovementioned system, thanks to the technical capability of new HR sensors to run algorithms on the sensor itself and to acquire (and store on-board) single-lead ECG strips, if asked to do so. Methods and Results We have reprogrammed a HR monitor intended for sports use (Movensense HR+) to run our proprietary RITMIA algorithm code in real-time, based on RR analysis, so that if any type of arrhythmia is detected it triggers a brief retrospective recording of a single-lead ECG, providing tracings of the specific arrhythmia for later consultation. We report the initial data on the behavior, feasibility and high diagnostic accuracy of this ultra-low weight customized device for standalone automatic arrhythmia detection and ECG recording, when several types of arrhythmias were simulated, under different baseline conditions. Conclusions This customized device was capable to detect all types of simulated arrhythmias and correctly triggered an visually interpretable ECG tracing. Future human studies are needed to address real-life accuracy of this device.

scholarly journals Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5357
Author(s):  
Gaël Vila ◽  
Christelle Godin ◽  
Sylvie Charbonnier ◽  
Aurélie Campagne
Keyword(s):  
Heart Rate ◽  
Quality Index ◽  
Real Life ◽  
Motion Artifacts ◽  
Cardiac Monitoring ◽  
Data Loss ◽  
Median Error ◽  
Monitoring Applications ◽  
The Impact ◽  
Frequency Power

Wearable cardiac sensors pave the way for advanced cardiac monitoring applications based on heart rate variability (HRV). In real-life settings, heart rate (HR) measurements are subject to motion artifacts that may lead to frequent data loss (missing samples in the HR signal), especially for commercial devices based on photoplethysmography (PPG). The current study had two main goals: (i) to provide a white-box quality index that estimates the amount of missing samples in any piece of HR signal; and (ii) to quantify the impact of data loss on feature extraction in a PPG-based HR signal. This was done by comparing real-life recordings from commercial sensors featuring both PPG (Empatica E4) and ECG (Zephyr BioHarness 3). After an outlier rejection process, our quality index was used to isolate portions of ECG-based HR signals that could be used as benchmark, to validate the output of Empatica E4 at the signal level and at the feature level. Our results showed high accuracy in estimating the mean HR (median error: 3.2%), poor accuracy for short-term HRV features (e.g., median error: 64% for high-frequency power), and mild accuracy for longer-term HRV features (e.g., median error: 25% for low-frequency power). These levels of errors could be reduced by using our quality index to identify time windows with few or no data loss (median errors: 0.0%, 27%, and 6.4% respectively, when no sample was missing). This quality index should be useful in future work to extract reliable cardiac features in real-life measurements, or to conduct a field validation study on wearable cardiac sensors.

Smartphone Application with Wireless Cardiac Monitoring Device to Analyze Real-Time ECG Using Modified Pan Tompkins Algorithm

2018 ◽  
Author(s):  
Usama Pervaiz ◽  
Saed Khawaldeh ◽  
Tajwar Abrar Aleef ◽  
Vu Hoang Minh
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Low Cost ◽  
Smartphone Application ◽  
Ease Of Use ◽  
Cardiac Monitoring ◽  
Health History ◽  
Heart Patients ◽  
History Of ◽  
Care Assistance

Heart patients are constantly at risk of a heart failure, therefore, it is crucial to track their vitals. There is also a dire need to make a single platform which has patients and doctors on board, provides health-care assistance remotely, and have a low-cost and accessible solution that would cater large masses, both in terms of its buying accessibility as well as its ease of use. We are bringing a one stop solution, with a wearable device which monitors Electrocardiogram (ECG) and consequently measure heart rate. The wearable wireless device have an application compatibility on Smartphone which allows real time monitoring of ECG as well as it gives various post processing options, in which heart rate would be measured using modified Pan-Tompkins Algorithm and kept overtime for maintaining health history of the patient.

The Predictive Role of Biochemical Plasma Factors in Patients with Severe Traumatic Brain Injuries

2019 ◽  
Vol 70 (5) ◽  
pp. 1754-1757
Author(s):  
Marius Toma Papacocea ◽  
Ioana Anca Badarau ◽  
Mugurel Radoi ◽  
Ioana Raluca Papacocea
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Blood Cell ◽  
Brain Injuries ◽  
Hematological Parameters ◽  
Group Versus ◽  
Public Health Problem ◽  
Traumatic Brain Injuries ◽  
High Rate ◽  
Control Group

Traumatic brain injuries (TBI) represent a high impact public health problem due to a high rate of death , long term disability and occurrence especially in young adults. Despite several promising animal studies, several parameters were proposed as biological markers and were assessed for this aim. Our study proposes the study of the early biochemical changes in association to hematological parameters for severe TBI patients prognosis. 43 patients with acute TBI were included in study based on clinical, laboratory and imagistic findings. The severity of the TBI was established by Glasgow Coma Scale GCS 3-8. In all patients were evaluated hematologic parameters (Red blood cell count - RBC, Hematocrit, blood Hemoglobin, White blood cell - WBC, Platelet count and biochemical parameters (glucose, urea, creatinine, electrolytes). Outcome was expressed as Glasgow Outcome Scale (GOS), between 1-5. Values were compared to control group -15 cases. Significant early differences in body temperature, heart rate, and systolic blood pressure were observed in TBI group versus control (p[0.05). After correlation, laboratory findings significantly associated to severe outcome - GOS = 1, 2 - (p[0.05) were plasma Na decrease and significant glucose increase. An early increase of temperature and decrease of Na may predict a severe outcome in patients with acute TBI; association with shifts in heart rate and blood pressure, imposes aggressive treatment measures.

scholarly journals Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Transit Time ◽  
Pulse Rate Variability ◽  
Physiological Factors ◽  
Ecg Signals ◽  
Non Invasive ◽  
Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

scholarly journals ECOCAPTURE@HOME: Protocol for the Remote Assessment of Apathy and Its Everyday-Life Consequences

2021 ◽  
Vol 18 (15) ◽  
pp. 7824
Author(s):  
Valérie Godefroy ◽  
Richard Levy ◽  
Arabella Bouzigues ◽  
Armelle Rametti-Lacroux ◽  
Raffaella Migliaccio ◽  
...  
Keyword(s):  
Everyday Life ◽  
New Technologies ◽  
Electrodermal Activity ◽  
Real Life ◽  
Smartphone Application ◽  
Measurement Model ◽  
Strong Impact ◽  
Active Data ◽  
Personalised Treatment

Apathy, a common neuropsychiatric symptom associated with dementia, has a strong impact on patients’ and caregivers’ quality of life. However, it is still poorly understood and hard to define. The main objective of the ECOCAPTURE programme is to define a behavioural signature of apathy using an ecological approach. Within this program, ECOCAPTURE@HOME is an observational study which aims to validate a method based on new technologies for the remote monitoring of apathy in real life. For this study, we plan to recruit 60 couples: 20 patient-caregiver dyads in which patients suffer from behavioral variant Fronto-Temporal Dementia, 20 patient-caregiver dyads in which patients suffer from Alzheimer Disease and 20 healthy control couples. These dyads will be followed for 28 consecutive days via multi-sensor bracelets collecting passive data (acceleration, electrodermal activity, blood volume pulse). Active data will also be collected by questionnaires on a smartphone application. Using a pool of metrics extracted from these passive and active data, we will validate a measurement model for three behavioural markers of apathy (i.e., daytime activity, quality of sleep, and emotional arousal). The final purpose is to facilitate the follow-up and precise diagnosis of apathy, towards a personalised treatment of this condition within everyday life.

scholarly journals A Trigonometric Projection Method for Overcoming High Intensity Heart Rate Caused Waveform Deformation in Electrocardiogram Biometrics

2021 ◽  
Author(s):  
Tsu-Wang Shen ◽  
Shan-Chun Chang
Keyword(s):  
Heart Rate ◽  
High Intensity ◽  
Correlation Coefficients ◽  
Calibration Method ◽  
Mean Square ◽  
Biometric Technology ◽  
Overall Performance ◽  
Electrocardiogram Signal ◽  
Mean Square Difference ◽  
Electrocardiogram Ecg

Abstract Purpose Although electrocardiogram (ECG) has been proven as a biometric for human identification, applying biometric technology remains challenging with diverse heart rate circumstances in which high intensity heart rate caused waveform deformation may not be known in advance when ECG templates are registered. Methods A calibration method that calculates the ratio of the length of an unidentified electrocardiogram signal to the length of an electrocardiogram template is proposed in this paper. Next, the R peak is used as an axis anchor point of a trigonometric projection (TP) to attain the displacement value. Finally, the unidentified ECG signal is calibrated according to the generated trigonometric value, which corresponds to the trigonometric projection degree of the ratio and the attained displacement measurement. Results The results reveal that the proposed method provides superior overall performance compared with that of the conventional downsampling method, based on the percentage root mean square difference (PRD), correlation coefficients, and mean square error (MSE). Conclusion The curve fitting equation directly maps from the heart rate levels to the TP degree without prior registration information. The proposed ECG calibration method offers a more robust system against heart rate interference when conducting ECG identification.

scholarly journals Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images

Computation ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 35
Author(s):  
Hind R. Mohammed ◽  
Zahir M. Hussain
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
High Speed ◽  
Moving Objects ◽  
Real Life ◽  
Fuzzy Rules ◽  
High Rate ◽  
Moving Images ◽  
Animal Images

Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNNs) applied to identify and distinguish various animals using different datasets consisting of about 27,307 images. The proposed system utilizes fuzzy rules to detect the image and then apply the CNN model for the object’s predicate category. The CNN model was trained and tested based on more than 21,846 pictures of animals. The experiments’ results of the proposed method offered high speed and efficiency, which could be a prominent aspect in designing image-processing systems based on Type 2 fuzzy rules characterization for identifying fixed and moving images. The proposed fuzzy method obtained an accuracy rate for identifying and recognizing moving objects of 98% and a mean square error of 0.1183464 less than other studies. It also achieved a very high rate of correctly predicting malicious objects equal to recall = 0.98121 and a precision rate of 1. The test’s accuracy was evaluated using the F1 Score, which obtained a high percentage of 0.99052.

Origins of heart rate variability: relationship of heart rate burst morphology to work duration and load

1999 ◽  
Vol 277 (4) ◽  
pp. H1491-H1497
Author(s):  
Daniel Roach ◽  
Robert Haennel ◽  
Mary Lou Koshman ◽  
Robert Sheldon
Keyword(s):  
Heart Rate ◽  
Burst Duration ◽  
Heart Period ◽  
Quantal Response ◽  
Ambulatory Ecg ◽  
Work Duration ◽  
Baroreceptor Activation ◽  
Relationship Of ◽  
Electrocardiogram Ecg ◽  
The Impact

We are developing a lexicon of specific heart period changes, or lexons, that recur frequently and whose physiological meaning can be read into ambulatory electrocardiogram (ECG). The transient, reversible “burst” of tachycardia induced by exercise initiation can also be seen on ambulatory ECG. We hypothesized that burst morphology depended on the work that preceded it and on baroreceptor activation. Ten subjects with mean age 38 yr (range 17–69 yr) underwent two protocols of semisupine cycling in which load and duration were varied. Burst duration increased with longer cycling times (median values of 18.0, 25.5, and 23.7 s with 1, 3, and 5 s of cycling, respectively; P= 0.033). Burst shape as assessed by heart period exponential decay constant and burst magnitude did not change. To assess the impact of workload, subjects cycled for 5 s at loads of 0, 25, 50, and 75 W. No significant differences were seen in burst duration, burst magnitude, or burst shape. Tachycardia preceded hypotension by 4.6 ± 2.2 s, which is inconsistent with baroreceptor involvement in the onset of burst tachycardia. Because burst morphology is a nearly quantal response to the initiation of exercise, the presence of a burst on an ambulatory ECG implies the onset of exercise.

Observance gap between users: Lessons from a trial of a smartphone application for parental empowerment in Autism Spectrum Disorders (Preprint)

2021 ◽  
Author(s):  
Olivier Bonnot ◽  
Vladimir Adrien ◽  
Veronique Venelle ◽  
Dominique Bonneau ◽  
Fanny Gollier-Briant ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Secondary Analysis ◽  
Real Life ◽  
Smartphone Application ◽  
Autism Spectrum ◽  
Filling Rate ◽  
Actual Use ◽  
Intent To Use ◽  
Spectrum Disorders ◽  
Prospective Longitudinal

BACKGROUND Conflicting data emerge from literature regarding actual use of smartphone application in medicine, some authors considering it as a breakthrough while other suggesting that real-life use is disappointing. However, digital tools are everyday more present in medicine. We developed SMARTAUTISM, a smartphone application focused on empowerment in a day to day-based help for parents having a child with Autism Spectrum Disorders (ASD) asking questions and providing a feed-back screen with simple curves. OBJECTIVE To evaluate the qualitative and quantitative usage of a smartphone application by caregivers of ASD individuals. METHODS This is a prospective, longitudinal, exploratory, open study with a 6-month follow-up period of family having one child with ASD. Data are recorded longitudinally, and outcome criteria were: (i) overall filling rate, (ii) filling rate by degree of completion and by interest of users for our feed-back screen and qualitative questionnaire based on attrition. RESULTS Participants have a very high intent to use our app during the six months period (95%). However, secondary analysis shows that only 46 of subjects had constant filling rate over 50%. Interestingly, those high-profile users are characterized by higher use and satisfaction with the feed-back screen when compared to low (p<0.001) and moderate (p=0.007) users. CONCLUSIONS Real or perceived utility is an important incentive in the use of empowerment smartphone apps. CLINICALTRIAL Clinical Trial : NCT03020277 INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2016-012135

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