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  1. AU="Kambampati, Harish"
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  1. Article ; Online: Design of Remote Real-Time Monitoring and Biofeedback System to Connect Patients and Clinicians During Orthopaedic Rehabilitation.

    Kambampati, Harish / Palla, Francesco / Introzzi, Massimo

    Studies in health technology and informatics

    2023  Volume 309, Page(s) 181–182

    Abstract: 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- ... ...

    Abstract 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.
    MeSH term(s) Humans ; Orthopedics ; Telerehabilitation ; Gait ; Biofeedback, Psychology ; Treatment Outcome
    Language English
    Publishing date 2023-10-31
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230772
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal.

    Staderini, Enrico M / Kambampati, Harish / Ramakrishnaiah, Amith K / Mugnaini, Stefano / Magrini, Andrea / Gentili, Sandro

    Bioengineering (Basel, Switzerland)

    2023  Volume 10, Issue 5

    Abstract: 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, ... ...

    Abstract 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.
    Language English
    Publishing date 2023-05-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2746191-9
    ISSN 2306-5354
    ISSN 2306-5354
    DOI 10.3390/bioengineering10050552
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research.

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

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 10

    Abstract: Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already ... ...

    Abstract Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the "classical" duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.
    MeSH term(s) Electrocardiography ; Electromyography ; Humans ; Microcomputers ; Signal Processing, Computer-Assisted
    Language English
    Publishing date 2022-05-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22103616
    Database MEDical Literature Analysis and Retrieval System OnLINE

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