ArticleSensors (Basel, Switzerland)2019
Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Non-Invasive Contactless Tracking of Respiratory Rate and Heart Rate During Sleep.Sensors (Basel, Switzerland) · 2026Article
- Quantifying Mental Stress Using Cardiovascular Responses: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units.Sensors (Basel, Switzerland) · 2025Article
- ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.Sensors (Basel, Switzerland) · 2023Article
- Lower ultra-short-term heart rate variability can predict worse mucosal healing in ulcerative colitis.BMC gastroenterology · 2023Article
- Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases.Sensors (Basel, Switzerland) · 2023Article
- Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms.Biosensors · 2022Article
- Smartphone as an electronic stethoscope: factors influencing heart sound qualityEuropean heart journal. Digital health · 2022Article
- How Reliable Are Ultra-Short-Term HRV Measurements during Cognitively Demanding Tasks?Sensors (Basel, Switzerland) · 2022Article
- Judgement of valence of musical sounds by hand and by heart, a machine learning paradigm for reading the heart.Heliyon · 2021Article
- Wearable and Nearable Biosensors and Systems for Healthcare.Sensors (Basel, Switzerland) · 2021Article
- Feasibility of Heart Rate and Respiratory Rate Estimation by Inertial Sensors Embedded in a Virtual Reality Headset.Sensors (Basel, Switzerland) · 2020Article
- Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers.Sensors (Basel, Switzerland) · 2020Article
- A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study.JMIR mHealth and uHealth · 2020Article
- Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall.Sensors (Basel, Switzerland) · 2020Article
- Declining Trends of Heart Rate Variability According to Aging in Healthy Asian Adults.Frontiers in aging neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Body acceleration due to heartbeat-induced reaction forces can be measured as mobile phone accelerometer (m-ACC) signals. Our aim was to test the feasibility of using m-ACC to detect changes induced by stress by ultra-short heart rate variability (USV) indices (standard deviation of normal-to-normal interval-SDNN and root mean square of successive differences-RMSSD). Sixteen healthy volunteers were recruited; m-ACC was recorded while in supine position, during spontaneous breathing at rest conditions (REST) and during one minute of mental stress (MS) induced by arithmetic serial subtraction task, simultaneous with conventional electrocardiogram (ECG). Beat occurrences were extracted from both ECG and m-ACC and used to compute USV indices using 60, 30 and 10s durations, both for REST and MS. A feasibility of 93.8% in the beat-to-beat m-ACC heart rate series extraction was reached. In both ECG and m-ACC series, compared to REST, in MS the mean beat duration was reduced by 15% and RMSSD decreased by 38%. These results show that short term recordings (up to 10 s) of cardiac activity using smartphone's accelerometers are able to capture the decrease in parasympathetic tone, in agreement with the induced stimulus.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.