Search Results - "S.P., Preejith"

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  1. 1

    RespNet: A deep learning model for extraction of respiration from photoplethysmogram by Ravichandran, Vignesh, Murugesan, Balamurali, Balakarthikeyan, Vaishali, Ram, Keerthi, Preejith, S.P., Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic…”
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    Conference Proceeding Journal Article
  2. 2

    PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram by Shyam, A., Ravichandran, Vignesh, Preejith, S.P., Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like…”
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    Conference Proceeding Journal Article
  3. 3

    Electrodermal activity based autonomic sleep staging using wrist wearable by Anusha, A.S., Preejith, S.P., Akl, Tony J., Sivaprakasam, Mohanasankar

    Published in Biomedical signal processing and control (01-05-2022)
    “…•Electrodermal Activity (EDA) recorded from the wrist can be an effective biomarker for different stages of sleep.•Skin temperature (ST) measured from the same…”
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    Journal Article
  4. 4

    ECGNet: Deep Network for Arrhythmia Classification by Murugesan, Balamurali, Ravichandran, Vignesh, Ram, Keerthi, S.P., Preejith, Joseph, Jayaraj, Shankaranarayana, Sharath M., Sivaprakasam, Mohanasankar

    “…Cardiac arrhythmias are presently diagnosed by manual interpretation of Electrocardiography (ECG) signals. Automated ECG interpretation is required to perform…”
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    Conference Proceeding
  5. 5

    RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG by Vijayarangan, Sricharan, R., Vignesh, Murugesan, Balamurali, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohansankar

    “…Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applications including Heart Rate Variability (HRV) analysis and…”
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    Conference Proceeding
  6. 6

    Pre-surgery Stress Monitoring Using Heart Rate Variability Measures by Amalan, S., Vaishali, B., S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Pre-surgery stress is common in patients hospitalized for undergoing surgeries. High levels of stress could prolong post-operative recovery time, increasing…”
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    Conference Proceeding Journal Article
  7. 7

    Accuracy Enhancement of Total Force by Capacitive Insoles by Kakarla, Teja Prakash, Varma, Kolukuluri Akhil, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…A coherent understanding of plantar pressures is crucial in the field of sports research and clinical studies. Real-time and dynamic analysis of plantar…”
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    Conference Proceeding
  8. 8

    Deep Network for Capacitive ECG Denoising by Ravichandran, Vignesh, Murugesan, Balamurali, Shankaranarayana, Sharath M., Ram, Keerthi, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Continuous monitoring of cardiac health under free living condition is crucial to provide effective care for patients undergoing post operative recovery and…”
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    Conference Proceeding
  9. 9

    HRV based Stress Assessment of Individuals in a Work Environment by Vaishali, B., Amalan, S., Preejith, S.P., Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Workplace Stress can impact the employees especially when their perception of job demands are more than what they can meet. Excessive and long term stress can…”
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    Conference Proceeding
  10. 10

    Ride Profiling for a Single Speed Bicycle Using an Inertial Sensor by R., Dhinesh, S.P., Preejith, Sivaprakasam, Mohanasankar

    “…Quantifying aspects related to riding helps cyclists keep track of their performance. Being able to track performance enables a greater understanding of…”
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    Conference Proceeding
  11. 11

    Accelerometer based system for continuous respiratory rate monitoring by Preejith, S.P., Jeelani, Ahamed, Maniyar, Paresh, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Recent advances in sensor technologies, wireless connectivity, cloud storage and availability of compact hardware allow for designing of cost effective…”
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    Conference Proceeding
  12. 12

    Fall Detection Using Kinematic Features from a Wrist-Worn Inertial Sensor by R., Dhinesh, Naheem, Minhas, Khandelwal, Shubham, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…The threats and injuries caused by falling are significant and pose risks to life among the elderly population. Detecting falls and providing prompt care helps…”
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    Conference Proceeding
  13. 13

    Machine Learning based SpO2 Computation Using Reflectance Pulse Oximetry by Venkat, Swaathi, Arsath P.S., Mohamed Tanveejul P. S., Alex, Annamol, S.P., Preejith, Balamugesh, D.J., Christopher, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Continuous monitoring of blood oxygen saturation level (SpO 2 ) is crucial for patients with cardiac and pulmonary disorders and those undergoing surgeries…”
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    Conference Proceeding
  14. 14

    Design, development and clinical validation of a novel urine output monitor by Raam K., Ganesh, Jeelani, Ahamed, S.P., Preejith, Nagaiyan, Sridhar, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Automated monitoring of vital signs and capability to generate alerts in the event of an abnormal behaviour is a becoming a default option in most multi…”
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    Conference Proceeding
  15. 15

    Reflectance Pulse Oximetry for Blood Oxygen Saturation Measurement from Diverse Locations-A Preliminary Analysis by A., Kiruthiga, Alex, Annamol, T., Balamugesh, R., Dinesh Prabhu, D.J., Christopher, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

    “…Blood oxygen saturation level (SpO 2 ) is a clinically accepted vital sign for patient care and diagnostics. Oximeters are widely used by people suffering from…”
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    Conference Proceeding