Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Staderini, Enrico M.; Mugnaini, Stefano; Kambampati, Harish; Magrini, Andrea; Gentili, Sandro

doi:10.3390/s22103616

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…The ECG tracings were recorded using a custom-made two-channel ECG [31]. T second channel was used for recording marks for the different phases of the Valsalva m neuver, namely the exact beginning and ending times of the forceful attempt at exhalati The ECG tracing that was obtained was processed using the algorithm, and the results shown in Figure 12.…”

Section: Results Ii: Analysis Of Real Ecg Signals Epochs For the Appr...mentioning

confidence: 99%

A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal

Staderini¹,

Kambampati

Ramakrishnaiah

et al. 2023

Bioengineering

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Heart rate variability (HRV) is commonly intended as the variation in the heart rate (HR), and it is evaluated in the time and frequency domains with various well-known methods. In the present paper, the heart rate is considered as a time domain signal, at first as an abstract model in which the HR is the instantaneous frequency of an otherwise periodic signal, such as with an electrocardiogram (ECG). In this model, the ECG is assumed to be a frequency modulated signal, or carrier signal, where HRV or HRV(t) is the time-domain signal which is frequency modulating the carrier ECG signal around its average frequency. Hence, an algorithm able to frequency demodulate the ECG signal to extract the signal HRV(t) is described, with possibly enough time resolution to analyse fast time-domain variations in the instantaneous HR. After exhaustive testing of the method on simulated frequency modulated sinusoidal signals, the new procedure is eventually applied on actual ECG tracings for preliminary nonclinical testing. The purpose of the work is to use this algorithm as a tool and a more reliable method for the assessment of heart rate before any further clinical or physiological analysis.

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Section: Results Ii: Analysis Of Real Ecg Signals Epochs For the Appr...mentioning

confidence: 99%

A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal

Staderini¹,

Kambampati

Ramakrishnaiah

et al. 2023

Bioengineering

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“…Our solution integrates ultrathin Force Sensing Resistance sensors (FSRs) in an insole [4]. These sensors detect weight distribution, transmitting data to microelectronics for processing and wireless transmission [5]. The smartphone app offers real-time feedback/control, and a SaaS platform handles data storage and analysis [6,7].…”

Section: Introduction and Methodsmentioning

confidence: 99%

Design of Remote Real-Time Monitoring and Biofeedback System to Connect Patients and Clinicians During Orthopaedic Rehabilitation

Kambampati,

Palla,

Introzzi

2023

Telehealth Ecosystems in Practice

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The ORME (Orthopaedic Rehabilitation for ME) is a comprehensive solution developed by NTR Biosensors to address the issue of uncertain weight monitoring during orthopaedic rehabilitation. It consists of multiple ultra-thin force resistance sensors-equipped insole, microelectronics for data processing and transmission, a dedicated smartphone app called ORME control app, and a cloud platform called ORME PRO for remote monitoring by clinicians. The system alerts patients and clinicians to overload events by offering real-time biofeedback and providing haptic and audible cues to correct gait during telemonitoring or telerehabilitation. This minimizes the risk of new injuries and prevents overloading-related setbacks during rehabilitation, while also enabling gait analysis and plantar pressure monitoring. The ORME & ORME PRO systems present an innovative solution to enhance home care, telemonitoring, and tele-orthopaedic rehabilitation outcomes, empowering patients and specialists with an effective tool to monitor and manage the telerehabilitation process and patient-reported outcomes.

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“…Using a custom made two channels ECG [13], we recorded the ECG tracings. The second channel was used for recording marks for the different phases of the Valsalva manoeuvre, namely exact beginning and ending times of forceful attempt of exhalation.…”

Section: Analysis Of Simulated Signals Epochs and Detailing Of The Al...mentioning

confidence: 99%

On the Estimation of Ultra-Short-Term Heart Rate Variability

Staderini¹,

Kambampati²,

Ramakrishnaiah³

et al. 2022

Preprint

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Heart rate variability (HRV) is commonly intended as the variation in the heart rate (HR) and it is evaluated in the time and frequency domains with various well known methods. In the present paper, we first consider an abstract model in which the HR is the instantaneous frequency of an otherwise periodic signal such as the electrocardiogram (ECG). Thus the ECG is assumed as a frequency modulated signal, or carrier signal, where HRV or HRVt is a supposed time-domain signal which is frequency modulating the carrier ECG signal around its average frequency. Hence we describe an algorithm able to frequency demodulate the ECG signal to extract a continuous signal HRVt with possibly enough time resolution to analyse fast time-domain variations in the instantaneous HR. After exhaustive testing of the method on simulated frequency modulated sinusoidal signals, we have applied the procedure on actual ECG tracings. The purpose of the work is to eventually use the heart as a kind of biological sensor of the fast activity of the autonomous nervous system (ANS) to study the ANS ultra-short-term event-evoked responses. A few preliminary, not clinical, real examples are also given.

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Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Cited by 6 publications

References 13 publications

A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal

A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal

Design of Remote Real-Time Monitoring and Biofeedback System to Connect Patients and Clinicians During Orthopaedic Rehabilitation

On the Estimation of Ultra-Short-Term Heart Rate Variability

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