Flexible Non-Constrained RF Wrist Pulse Detection Sensor Based on Array Resonators

An, Yong-Jun; Kim, Byung-Hyun; Yun, Gi-Ho; Kim, Sung Woo; Hong, Seungbum; Yook, Jong‐Gwan

doi:10.1109/tbcas.2015.2406776

Cited by 34 publications

(23 citation statements)

References 19 publications

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“…Furthermore, the second derivative is closely related to a selection of standard pulse wave which is the very foundation of further treatment. As the human pulse signal is relatively weak, different diversities of additive artifact inevitably generate, unfortunately affect the extraction of features [18] . Among the noise, high frequency noise which is the main influence factors is mostly caused by the instrument thermal noise and electromagnetic interference in the signal acquisition process [19] .…”

Section: Methodsmentioning

confidence: 99%

Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography

Yun-hui

Wang

Chao

2017

IEEE J. Transl. Eng. Health Med.

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In this paper, thorough improvement of pulse monitoring and analysis equipment with a headset structure is presented. In order to study the most suitable infrared wavelength for the acquisition of the pulse wave at the earlobe, Monte Carlo simulation was adapted. Both high frequency noise and baseline drift, generated in the signal acquisition process, are considered. To further optimize the system design and improve accuracy, for the sensor’s dimensional drift, the corresponding compensation was carried on in the software. This paper introduced nonlinear quantization, especially in terms of very weak pulse signal, in the time domain analysis process. A quick extraction method named table look-up combing with interpolation was utilized to obtain frequency domain information whose processing speed can be increased by about 30 times compared with fast Fourier transformation setting the sampling point as 300. The results demonstrated the sensor’s excellent performance in pulse signal acquisition whose maximum residual is less than 0.004 mV. The test on a random sample of 300 people indicates that the system had high correlation with reference, validating the system accuracy is extremely high. Overall, this paper provides a practical pulse monitoring and analysis system with high precision and processing speed that can be widely applied in the field of health management or medical measurement.

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Section: Methodsmentioning

confidence: 99%

Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography

Yun-hui

Wang

Chao

2017

IEEE J. Transl. Eng. Health Med.

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“…The device developed by An et al [92] uses four resonators and associated detection electronic on a small form factor of 30 × 30 mm. The only additional instruments used are a 2.4 GHz signal generator and a DAQ for digitising the output of the power combiner.…”

Section: Microwavesmentioning

confidence: 99%

A Review of Methods for Non-Invasive Heart Rate Measurement on Wrist

Ferreira

Géhin

Massot

2021

IRBM

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When evaluating general health condition on a patient, heart rate is an essential indicator as it is directly representative of the cardiac system state. Continuous measurement methods of heart rate are required for ambulatory monitoring involved in preliminary diagnostic indicators of cardiac diseases or stroke. The growing number of recent developments in wearable devices is reflective of the increasing demand in wrist-worn activity trackers for fitness and health applications. Indeed, the wrist represents a convenient location in terms of form factor and acceptability for patients. While most commercially-available devices are based on optical methods for heart rate measurement, others methods were also developed, based on various physiological phenomena. This review is focused on heart rate measurement methods located on forearm and more specifically on the wrist. For each method, the physiological mechanism involved is described, and the associated transducers for bio-signal acquisition as well as practical developments and prototypes are presented. Methods are discussed on their advantages, limitations and their suitability for an ambulatory use. More specifically, the superposition of motion artefacts over the signal of interest is one of the largest drawbacks for these methods, when used out of laboratory conditions. As such, artefact reduction techniques proposed in the literature are also presented and discussed.

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“…Frequency deviation is a critical factor and can be explained from [50,51] that for lower quality factors the deviation in oscillation is more which turns out to be beneficial for detecting vital signs, since the body movements are quite small to detect. An array resonator operating at 2.4 GHz placed in proximity of a wrist is used in [52,53] to obtain heart rate information. The reflection coefficient of the resonator/radiator varies as a function of distance between the resonator and walls of major arteries and this information is utilized to obtain heart rate information.…”

Section: Radio Frequency Microwave Millimeter Wave and Terahertzmentioning

confidence: 99%

EM-Wave Biosensors: A Review of RF, Microwave, mm-Wave and Optical Sensing

Mehrotra

Chatterjee

Sen

2019

Sensors

140

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This article presents a broad review on optical, radio-frequency (RF), microwave (MW), millimeter wave (mmW) and terahertz (THz) biosensors. Biomatter-wave interaction modalities are considered over a wide range of frequencies and applications such as detection of cancer biomarkers, biotin, neurotransmitters and heart rate are presented in detail. By treating biological tissue as a dielectric substance, having a unique dielectric signature, it can be characterized by frequency dependent parameters such as permittivity and conductivity. By observing the unique permittivity spectrum, cancerous cells can be distinguished from healthy ones or by measuring the changes in permittivity, concentration of medically relevant biomolecules such as glucose, neurotransmitters, vitamins and proteins, ailments and abnormalities can be detected. In case of optical biosensors, any change in permittivity is transduced to a change in optical properties such as photoluminescence, interference pattern, reflection intensity and reflection angle through techniques like quantum dots, interferometry, surface enhanced raman scattering or surface plasmon resonance. Conversely, in case of RF, MW, mmW and THz biosensors, capacitive sensing is most commonly employed where changes in permittivity are reflected as changes in capacitance, through components like interdigitated electrodes, resonators and microstrip structures. In this paper, interactions of EM waves with biomatter are considered, with an emphasis on a clear demarcation of various modalities, their underlying principles and applications.

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Flexible Non-Constrained RF Wrist Pulse Detection Sensor Based on Array Resonators

Cited by 34 publications

References 19 publications

Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography

Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography

A Review of Methods for Non-Invasive Heart Rate Measurement on Wrist

EM-Wave Biosensors: A Review of RF, Microwave, mm-Wave and Optical Sensing

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