Low-cost photoplethysmograph solutions using the Raspberry Pi

Nagy, Tamás Dániel; Gingl, Zoltán

doi:10.1109/cinti.2013.6705184

Cited by 11 publications

(9 citation statements)

References 10 publications

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“…Since the sound card suppresses the low frequency components, the recorded phonocardiogram has a stable DC level, unlike in the case of ECG or photoplethysmographic signals, where DC level may shift slowly over the measurement [5,27]. Thus, for educational use, simple amplitude and time We have also implemented a more special algorithm for heart beat detection, which is based on level crossing detection and worked more accurately in this case.…”

Section: Heart Beat Detectionmentioning

confidence: 99%

Digital phonocardiographic experiments and signal processing in multidisciplinary fields of university education

Nagy¹,

Vadai²,

Gingl³

2017

Eur. J. Phys.

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During the embargo period (the 12 month period from the publication of the Version of Record of this article), the Accepted Manuscript is fully protected by copyright and cannot be reused or reposted elsewhere. As the Version of Record of this article is going to be / has been published on a subscription basis, this Accepted Manuscript is available for reuse under a CC BY-NC-ND 3.0 licence after the 12 month embargo period.

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Section: Heart Beat Detectionmentioning

confidence: 99%

Digital phonocardiographic experiments and signal processing in multidisciplinary fields of university education

Nagy¹,

Vadai²,

Gingl³

2017

Eur. J. Phys.

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“…ECG is a voltage signal, while PPG is the time serial got from digitalizing the measurements of the reflected or absorbed light, which changes with the periodic blood flow. PRV can be easily measured with the help of a smartphone flash and camera [12, 13] (or using other low-cost tools [14]). The operation of PPG is well formulated by the authors of [15]: “PPG is measured via reflection through the illumination of the skin using an LED (e.g., the smartphone's flash) and through the detection of the amount of light that is reflected by a photodetector or a camera located next to the light source.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera

Bánhalmi

Borbás

Fidrich

et al. 2018

Journal of Healthcare Engineering

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Background Heart rate variability (HRV) provides information about the activity of the autonomic nervous system. Because of the small amount of data collected, the importance of HRV has not yet been proven in clinical practice. To collect population-level data, smartphone applications leveraging photoplethysmography (PPG) and some medical knowledge could provide the means for it. Objective To assess the capabilities of our smartphone application, we compared PPG (pulse rate variability (PRV)) with ECG (HRV). To have a baseline, we also compared the differences among ECG channels. Method We took fifty parallel measurements using iPhone 6 at a 240 Hz sampling frequency and Cardiax PC-ECG devices. The correspondence between the PRV and HRV indices was investigated using correlation, linear regression, and Bland-Altman analysis. Results High PPG accuracy: the deviation of PPG-ECG is comparable to that of ECG channels. Mean deviation between PPG-ECG and two ECG channels: RR: 0.01 ms–0.06 ms, SDNN: 0.78 ms–0.46 ms, RMSSD: 1.79 ms–1.21 ms, and pNN50: 2.43%–1.63%. Conclusions Our iPhone application yielded good results on PPG-based PRV indices compared to ECG-based HRV indices and to differences among ECG channels. We plan to extend our results on the PPG-ECG correspondence with a deeper analysis of the different ECG channels.

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“…The principle of the measurement is rather simple: direct an infrared light into the finger and measure the intensity of the reflected or passing through light. This depends on the instantaneous blood volume in the finger [12,13]. Therefore, one can get a time dependent signal mainly proportional to the blood pressure changes, so it can be used to detect the heart beats.…”

Section: Heart Rate Measurement Using Photoplethysmographymentioning

confidence: 99%

Interdisciplinary Technical Exercises for Informatics Teacher Students

et al. 2019

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More and more of today’s devices are electronic and software operated. Since they measure the signals of the real world and act as a result of processing, informatics is getting closer to interdisciplinary fields. The technology of everyday devices, automotive industry, Industry 4.0, Internet of Things (IoT) are based al-so on engineering, physics, electronics, biology and other fields besides informatics. Accordingly, the in-terdisciplinarity is important in education too, it is essential to teach related solutions of technology for the informatics teacher students since they will certainly need it during their teaching practice. Although the development of technology is still very rapid, the main principles of operation remain the same, so education should focus on this rather than on the teaching of a current software development environ-ment or hardware realization. Following this idea, we have worked out several laboratory exercises for our programme of informatics teacher students. During their work they construct some circuits, write the code and practice the fundamental methods of embedded software development. We report on how they could understand and learn the most important principles during working on an educational, a commer-cial, an industrial and a medical field related exercise. The associated experience-based learning helps sys-tematic understanding and development of creativity. Based on our experience, students are getting more self-confident by the use of modern technical systems, which we consider particularly important.

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Low-cost photoplethysmograph solutions using the Raspberry Pi

Cited by 11 publications

References 10 publications

Digital phonocardiographic experiments and signal processing in multidisciplinary fields of university education

Digital phonocardiographic experiments and signal processing in multidisciplinary fields of university education

Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera

Interdisciplinary Technical Exercises for Informatics Teacher Students

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