Contactless In-Home Monitoring of the Long-Term Respiratory and Behavioral Phenotypes in Older Adults With Covid-19
A Case Series
Bibliographic Data
| ID | 15525846 |
|---|---|
| Authors | Guo Zhang (0000-0003-2370-381X, Massachusetts Institute of Technology), Ipsit V Vahia (0000-0002-0282-640X, McLean Hospital, corresponding author), Yingcheng Liu (0000-0002-8178-936X, Massachusetts Institute of Technology), Yuzhe Yang (0000-0002-7634-8295, Massachusetts Institute of Technology), Rose May (McLean Hospital), Hailey V Cray (McLean Hospital), William McGrory, Dina Katabi (0000-0003-4854-4157, Massachusetts Institute of Technology) |
| Year | 2021 |
| Volume | 12 |
| Pages | 754169-754169 |
| Publication date | 2021-10-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2021.754169 |
| PMID | 34777058 |
| OpenAlex | W3210354729 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
Currently, there is a limited understanding of long-term outcomes of COVID-19, and a need for in-home measurements of patients through the whole course of their disease. We study a novel approach for monitoring the long-term trajectories of respiratory and behavioral symptoms of COVID-19 patients at home. We use a sensor that analyzes the radio signals in the room to infer patients' respiration, sleep and activities in a passive and contactless manner. We report the results of continuous monitoring of three residents of an assisted living facility for 3 months, through the course of their disease and subsequent recovery. In total, we collected 4,358 measurements of gait speed, 294 nights of sleep, and 3,056 h of respiration. The data shows differences in the respiration signals between asymptomatic and symptomatic patients. Longitudinally, we note sleep and motor abnormalities that persisted for months after becoming COVID negative. Our study represents a novel phenotyping of the respiratory and behavioral trajectories of COVID recovery, and suggests that the two may be integral components of the COVID-19 syndrome. It further provides a proof-of-concept that contactless passive sensors may uniquely facilitate studying detailed longitudinal outcomes of COVID-19, particularly among older adults
Asymptomatic · Audiology · Continuous monitoring · Coronavirus disease 2019 (COVID-19 · Disease · Gait · Infectious disease (medical specialty · Intensive care medicine · Physical medicine and rehabilitation · Respiration · Respiratory monitoring · Respiratory system · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 and Mental Health · Long-Term Effects of COVID-19 · Medicine · Psychology · Sleep and related disorders · Internal Medicine · Pediatrics
Real-time tracking of self-reported symptoms to predict potential Covid-19
Covid-19
A new coronavirus associated with human respiratory disease in China
Persistent Symptoms in Patients After Acute Covid-19
Attributes and predictors of long Covid
Factors associated with Covid-19-related death using OpenSafely
Do psychiatric patients experience more psychiatric symptoms during Covid-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
Covid-19 pandemic and mental health consequences
Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (Covid-19) Epidemic among the General Population in China
Changes in Physical Activity and Sedentary Behavior in Response to Covid-19 and Their Associations with Mental Health in 3052 US Adults
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |