scholarly journals LOW COST WIRELESS ECG PATCH USING ESP32

2020 ◽  
Vol 12 (1) ◽  
pp. 31-35
Author(s):  
Budi Sugandi ◽  
Muhammad Haikal Satria ◽  
Hamdani Arif ◽  
Nelmiawati Nelmiawati ◽  
Indra Hardian Mulyadi
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
Low Energy ◽  
Signal To Noise ◽  
Common Mode ◽  
Bluetooth Low Energy ◽  
Common Mode Rejection Ratio ◽  
Rejection Ratio

Elektrokardiograf (ECG) yang bersifat wearable dan nirkabel telah banyak digunakan untuk monitoring jangka panjang karena alasan praktis. Selain Signal to Noise Ratio (SNR) yang tinggi, salah satu manfaat ECG dalam bentuk patch adalah fleksibilitasnya bagi pengguna dalam menempatkan elektroda. Sebagian besar ECG patch nirkabel komersial yang ada di pasaran hanya dapat menampilkan Heart Rate Variability (HRV) saja, tanpa kemampuan untuk menyediakan atau merekam gelombang EKG. Beberapa produk komersial menggunakan dua elektroda saja: Right Arm (RA) dan Left Arm (LA), tanpa elektroda tambahan yang disebut Right Arm Drive (RLD). Selain itu, menyediakan lebih dari satu opsi teknologi nirkabel untuk ECG patch merupakan keuntungan tambahan. Pada penelitian ini, kami membuat ECG patch nirkabel berbiaya rendah yang memiliki kemampuan untuk menyediakan bentuk gelombang EKG (Lead I) dan menghitung HRV secara otomatis. Selain RA dan LA, alat ini menggunakan elektroda RLD untuk meningkatkan Common Mode Rejection Ratio (CMRR). Untuk pemrosesan data, kami menggunakan ESP32, mikrokontroler 32-bit berdaya rendah yang dilengkapi dengan Bluetooth Classic (BT), Bluetooth Low Energy (BLE), dan Wifi dalam modul yang ringkas. Hasil tes menunjukkan bahwa ECG patch yang dibuat menghasilkan perhitungan HRV yang lebih akurat serta waktu transisi 2,7 kali lebih cepat dibandingkan dengan produk komersial yang kami jadikan referensi.

scholarly journals RapidHRV: an open-source toolbox for extracting heart rate and heart rate variability

2021 ◽  
Author(s):  
Peter Kirk ◽  
Sarah Garfinkel ◽  
Oliver Joe Robinson
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Oximetry ◽  
Open Source ◽  
Visual Inspection ◽  
Signal To Noise Ratio ◽  
Simulated Data ◽  
Signal To Noise ◽  
Python Package ◽  
Insight Into

Heart rate and its variability have enabled insight into a myriad of psychophysiological phenomena. There is now an influx of research attempting using these metrics within both laboratory settings (typically derived through electrocardiography or pulse oximetry) and ecologically-rich contexts (via wearable photoplethysmography, i.e. smartwatches). However, these signals can be prone to artifacts and a low signal to noise ratio, which traditionally are detected and removed through visual inspection. Here, we developed an open-source Python package, RapidHRV, dedicated to the preprocessing, analysis, and visualization of time-domain heart rate and heart rate variability. Each of these modules can be executed with one line of code and includes automated cleaning. In simulated data, RapidHRV demonstrated excellent recovery of heart rate across most levels of noise (>= 10dB) and moderate-to-excellent recovery of heart rate variability even at relatively low signal to noise ratios (>=20dB) and sampling rates (>=20Hz). Validation in real datasets shows good-to-excellent recovery of heart rate and heart rate variability in electrocardiography and pulse oximetry recordings. Validation in real photoplethysmography demonstrated RapidHRV estimations were sensitive to heart rate and its variability under low motion conditions, but estimates were less stable under higher movement settings.

Remote Photoplethysmography Heart Rate Variability Detection Using Signal to Noise Ratio Bandpass Filtering

2021 ◽  
Author(s):  
Lin He ◽  
Kazi Shafiul Alam ◽  
Jiachen Ma ◽  
Eric Burkholder ◽  
William Cheng Chung Chu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Remote Photoplethysmography ◽  
Noise Ratio

scholarly journals Balanced homodyne detection with high common mode rejection ratio based on parameter compensation of two arbitrary photodiodes

2015 ◽  
Vol 23 (18) ◽  
pp. 23859 ◽  
Author(s):  
Xiaoli Jin ◽  
Jing Su ◽  
Yaohui Zheng ◽  
Chaoyong Chen ◽  
Wenzhe Wang ◽  
...  
Keyword(s):  
Homodyne Detection ◽  
Common Mode ◽  
Common Mode Rejection Ratio ◽  
Rejection Ratio ◽  
Parameter Compensation

Fully Differential Class-AB OTA with Improved CMRR

2017 ◽  
Vol 26 (11) ◽  
pp. 1750169 ◽  
Author(s):  
Francesco Centurelli ◽  
Pietro Monsurrò ◽  
Gaetano Parisi ◽  
Pasquale Tommasino ◽  
Alessandro Trifiletti
Keyword(s):  
Cmos Technology ◽  
Current Mirror ◽  
Differential Mode ◽  
Common Mode ◽  
Common Mode Rejection Ratio ◽  
Class Ab ◽  
Fully Differential ◽  
Rejection Ratio ◽  
Mode Behavior ◽  
The Common

This paper presents a fully differential class-AB current mirror OTA that improves the common-mode behavior of a topology that presents very good differential-mode performance but poor common-mode rejection ratio (CMRR). The proposed solution requires a low-current auxiliary circuit driven by the input signal, to compensate the effect of the common-mode input component. Simulations in 40-nm CMOS technology show a net reduction of common-mode gain of more than 90[Formula: see text]dB without affecting the differential-mode behavior; a sample-and-hold amplifier exploiting the proposed amplifier has also been simulated.

Internally Modulated Chirped Pulse Based Direct Detection Type φ-OTDR System with High Signal-to-Noise Ratio and Low Cost

2019 ◽  
Vol 46 (8) ◽  
pp. 0806003
Author(s):  
李鲁川 Luchuan Li ◽  
卢斌 Bin Lu ◽  
王校 Xiao Wang ◽  
梁嘉靖 Jiajing Liang ◽  
郑汉荣 Hanrong Zheng ◽  
...  
Keyword(s):  
Direct Detection ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
High Signal ◽  
Signal To Noise ◽  
Chirped Pulse ◽  
Noise Ratio

scholarly journals A Low Cost Indoor Positioning System Using Bluetooth Low Energy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 136858-136871
Author(s):  
Lu Bai ◽  
Fabio Ciravegna ◽  
Raymond Bond ◽  
Maurice Mulvenna
Keyword(s):  
Low Cost ◽  
Indoor Positioning ◽  
Low Energy ◽  
Positioning System ◽  
Bluetooth Low Energy ◽  
Indoor Positioning System
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