State of the Art on Wearable and Implantable Devices for Cardiac and Respiratory Monitoring

Armoundas, Antonis A.; Singh, Jagmeet P.; Heist, E. Kevin; Isselbacher, Eric M.

doi:10.1007/978-3-030-63355-4_25

Cited by 3 publications

(1 citation statement)

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“…Pi-CON stands for Passive, Continuous and Non-contact and describes a data collection method that eliminates the potential of human error by keeping the cost of human interaction to a minimum and integrates continuous data generation without attaching any devices or sensors to the patient's body. For this, an omnipresent sensor shall be used to determine a patient's health condition ubiquitously, avoiding inaccurate patient data acquisition by inexperienced users in an "unregulated" care environment [64]. This methodology works to prevent the usability issues reported and that patients are experiencing daily when they are asked to put their health in their own hands, taking medical examinations without the presence of a medical professional.…”

Section: The Pi-con Methodologymentioning

confidence: 99%

Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring

Baumann,

Stone,

Kim

2024

Sensors

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The adoption of telehealth has soared, and with that the acceptance of Remote Patient Monitoring (RPM) and virtual care. A review of the literature illustrates, however, that poor device usability can impact the generated data when using Patient-Generated Health Data (PGHD) devices, such as wearables or home use medical devices, when used outside a health facility. The Pi-CON methodology is introduced to overcome these challenges and guide the definition of user-friendly and intuitive devices in the future. Pi-CON stands for passive, continuous, and non-contact, and describes the ability to acquire health data, such as vital signs, continuously and passively with limited user interaction and without attaching any sensors to the patient. The paper highlights the advantages of Pi-CON by leveraging various sensors and techniques, such as radar, remote photoplethysmography, and infrared. It illustrates potential concerns and discusses future applications Pi-CON could be used for, including gait and fall monitoring by installing an omnipresent sensor based on the Pi-CON methodology. This would allow automatic data collection once a person is recognized, and could be extended with an integrated gateway so multiple cameras could be installed to enable data feeds to a cloud-based interface, allowing clinicians and family members to monitor patient health status remotely at any time.

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Section: The Pi-con Methodologymentioning

confidence: 99%