Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review

Biswas, Dwaipayan; Simões-Capela, Neide; Hoof, Chris Van; Helleputte, Nick Van

doi:10.1109/jsen.2019.2914166

Cited by 195 publications

(106 citation statements)

References 79 publications

Supporting

Mentioning

105

Contrasting

Order By: Relevance

“…With the recent explosion of wearable tracker systems, wrist PPG devices have become the most popular alternative for consumer grade HR monitoring during physical activities. Despite their promising application in ambulatory environments ( [19]- [22]), in stationary conditions such as the ones this study focuses on, frequent arm motion could still corrupt the PPG signal more regularly than more steady PPG sensors placed in the head. In this context, we believe that the neck could be a favourable new location for clinical PPG.…”

mentioning

confidence: 99%

Characterization of Artifact Signals in Neck Photoplethysmography

García-López

Rodriguez‐Villegas

2020

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

Objective: The neck is a very attractive measurement location for multimodal physiological monitoring, since it offers the possibility of extracting clinically relevant parameters, which cannot be obtained from other body locations, such as lung volumes. It is for this reason that obtaining PPG from the neck would be of interest. PPG signals, however, are very susceptible to artifacts which greatly compromise their quality. But the extent of this is going to depend on, the nature of the artifacts and the strength of the sensed signal, both of which are location dependent. This paper presents for the first time the characterization of artifacts affecting neck PPG signals. Methods: Neck PPG data was recorded from 19 participants, who performed ten different activities to deliberately introduce common artifacts. 41 PPG features were extracted and statistically analyzed to investigate which ones showed the greatest ability to differentiate normal PPG from each artifact. A customized minimum Redundancy Maximum Relevance (mRMR) feature selection approach was implemented, to select the top 10 features. Results: Artifacts caused by Swallowing, Yawning and Coughing exhibited larger Spectral Entropy, Average Power and smaller Spectral Kurtosis, than normal PPG. Head movement artifacts, also demonstrated highly disordered and noisy frequency spectra, and were characterized by having larger and irregular time domain features. In addition, the analysis showed that different respiratory states that could be of clinical interests, such as presence of apneas, were also distinguishable from sources of interference. Significance: These findings are important for the development of PPG denoising algorithms and subsequent obtention of biomarkers of interest, or alternatively for applications where the events of interest are the artifacts themselves.

show abstract

mentioning

confidence: 99%

Characterization of Artifact Signals in Neck Photoplethysmography

García-López

Rodriguez‐Villegas

2020

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

show abstract

“…Motion is often an arbitrary and spontaneous behavior which can be rhythmic or non-rhythmic. The acquired PPG signals exhibit both MA spectral peaks that lie distant from HR spectral peak as well as overlapping ones, rendering them indistinguishable [148]. In the presence of rhythmic movements such as running and walking, the peak corresponding to MA might be close to the HR peak.…”

Section: • Motion Artifacts Removalmentioning

confidence: 99%

Is Continuous Heart Rate Monitoring of Livestock a Dream or Is It Realistic? A Review

Nie

Berckmans

2020

Sensors

View full text Add to dashboard Cite

For all homoeothermic living organisms, heart rate (HR) is a core variable to control the metabolic energy production in the body, which is crucial to realize essential bodily functions. Consequently, HR monitoring is becoming increasingly important in research of farm animals, not only for production efficiency, but also for animal welfare. Real-time HR monitoring for humans has become feasible though there are still shortcomings for continuously accurate measuring. This paper is an effort to estimate whether it is realistic to get a continuous HR sensor for livestock that can be used for long term monitoring. The review provides the reported techniques to monitor HR of living organisms by emphasizing their principles, advantages, and drawbacks. Various properties and capabilities of these techniques are compared to check the potential to transfer the mostly adequate sensor technology of humans to livestock in term of application. Based upon this review, we conclude that the photoplethysmographic (PPG) technique seems feasible for implementation in livestock. Therefore, we present the contributions to overcome challenges to evolve to better solutions. Our study indicates that it is realistic today to develop a PPG sensor able to be integrated into an ear tag for mid-sized and larger farm animals for continuously and accurately monitoring their HRs.

show abstract

“…The simplest approach is to use a band-pass filter that can help to reduce the noise and eliminate the constant component of the signal. Such a solution is in common use [4]. However, the signal at the input of the filter can have significant changes of the constant component, as well as signal fluctuations caused by wrist movement, resulting in large peaks and oscillations at the output of the band-pass filter, as can be seen in Figure 2a As can be seen from the waveforms from Figure 1, the signal from the wrist is much weaker; moreover, each signal has a variable offset, and it contains noise and interference.…”

Section: Signal Conditioningmentioning

confidence: 99%

“…Heart rate estimation from wrist PPG is now a popular area of investigation, and many algorithms for such a task have been proposed [4]. Some of them require significant computing power and memory usage, blocking their application in small portable low-power devices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation

Wójcikowski

Pankiewicz

2020

Sensors

View full text Add to dashboard Cite

This paper presents an algorithm for the measurement of the human heart rate, using photoplethysmography (PPG), i.e., the detection of the light at the skin surface. The signal from the PPG sensor is processed in time-domain; the peaks in the preprocessed and conditioned PPG waveform are detected by using a peak detection algorithm to find the heart rate in real time. Apart from the PPG sensor, the accelerometer is also used to detect body movement and to indicate the moments in time, for which the PPG waveform can be unreliable. This paper describes in detail the signal conditioning path and the modified algorithm, and it also gives an example of implementation in a resource-constrained wrist-wearable device. The algorithm was evaluated by using the publicly available PPG-DaLia dataset containing samples collected during real-life activities with a PPG sensor and accelerometer and with an ECG signal as ground truth. The quality of the results is comparable to the other algorithms from the literature, while the required hardware resources are lower, which can be significant for wearable applications.

show abstract

Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review

Cited by 195 publications

References 79 publications

Characterization of Artifact Signals in Neck Photoplethysmography

Characterization of Artifact Signals in Neck Photoplethysmography

Is Continuous Heart Rate Monitoring of Livestock a Dream or Is It Realistic? A Review

Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation

Contact Info

Product

Resources

About