A5065184377- Non-Invasive Vital Sign Monitoring
- Respiratory Support and Mechanisms
- Airway Management and Intubation Techniques
- Hemodynamic Monitoring and Therapy
- Heart Rate Variability and Autonomic Control
- Cardiac, Anesthesia and Surgical Outcomes
- Mobile Health and mHealth Applications
- Phonocardiography and Auscultation Techniques
- Anesthesia and Sedative Agents
- Cardiac Arrest and Resuscitation
- Digital Mental Health Interventions
- Thermal Regulation in Medicine
- ECG Monitoring and Analysis
- Respiratory and Cough-Related Research
- Cardiovascular Health and Disease Prevention
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Ion channel regulation and function
- Infrared Thermography in Medicine
- Context-Aware Activity Recognition Systems
- RFID technology advancements
- Air Quality Monitoring and Forecasting
- Music and Audio Processing
- COVID-19 diagnosis using AI
- Tracheal and airway disorders
- Surgical site infection prevention
Massachusetts Institute of Technology
2016-2025
Massachusetts General Hospital
2023-2024
Harvard University
2024
MIT Lincoln Laboratory
2023
University of Massachusetts Chan Medical School
2016-2021
Children's Hospital at Westmead
2018
Human Media
2018
Boston University
2015
University of Florida
2011
PureTech (United States)
2008-2009
Widespread use of affective sensing in healthcare applications has been limited due to several practical factors, such as lack comfortable wearable sensors, wireless standards, and low-power affordable hardware. In this paper, we present a new low-cost, sensor platform implemented using the IEEE 802.15.4 standard, describe design compact sensors for long-term measurement electrodermal activity, temperature, motor photoplethysmography. We also illustrate technology continuous monitoring...
The analysis of lung sounds, collected through auscultation, is a fundamental component pulmonary disease diagnostics for primary care and general patient monitoring telemedicine. Despite advances in computation algorithms, the goal automated sound identification classification has remained elusive. Over past 40 years, published work this field demonstrated only limited success identifying with most studies using small numbers patients (typically N<;20) usually to single type sound. Larger...
Wearable sensors enable long-term continuous physiological monitoring, which is important for the treatment and management of many chronic illnesses, neurological disorders, mental health issues. Examples include: diabetes, autism spectrum disorder (ASD), depression, drug addition, anxiety disorders. In this paper, we present a few mobile technologies developed by our group also discuss emerging opportunities as well existing challenges. Technologies presented include wearable electrodermal...
We present a wearable sensor platform designed for monitoring and studying autonomic nervous system (ANS) activity the purpose of mental health treatment interventions. The mobile consists band worn on ankle that continuously monitors electrodermal (EDA), 3-axis acceleration, temperature. A custom-designed ECG heart monitor chest is also used as an optional part system. EDA signal from bands provides measure sympathetic to detect arousal events. data can be improve classification algorithm...
Cough sound analysis has attracted interest as a potential low-cost diagnostic tool for low-resource settings, where the burden of pulmonary disease is quite high. However, published results on cough are generally limited to specific diseases (e.g. detection Whooping - Pertussis) and study sizes small. In this paper, we present general framework analysis, which includes automatic segmentation, feature extraction classification design that can be applied wide range diseases. For our three...
From the Departments of Surgery and Pathology Harvard Medical School at Peter Bent Brigham Hospital, Boston, Massachusetts *Current Address: Department Surgery, University Chicago, Illinois. (Previously, Post Doctoral Fellow, National Institutes Health.) **Current Universidad del Valle. Cali, Colombia. ***Medical Corps, U. S. Army. †Assistant Professor Pathology, Associate Pathologist, Hospital. ††Moseley Surgeon-in-Chief,
Many adolescent mothers are parenting young children under highly stressful conditions as they managing first-time parenthood, poverty, lack of housing, school and work, challenging peer familial relationships. Mobile health (mHealth) technology has the potential to intervene at various points in emotion regulation process provide them support for more adaptive emotional behavioral course their daily life.The goal this study was examine acceptability, feasibility, use patterns, mechanisms by...
Chest radiography is a critical tool in the early detection, management planning, and follow-up evaluation of COVID-19 pneumonia; however, smaller clinics around world, there shortage radiologists to analyze large number examinations especially performed during pandemic. Limited availability high-resolution computed tomography real-time polymerase chain reaction developing countries regions high patient turnover also emphasizes importance chest as both screening diagnostic tool. In this...
Clonidine was administered intravenously in an attempt to limit sympatico‐adrenal activity and thereby reduce the incidence of arterial hypertension associated with coronary artery by‐pass graft surgery (CABG). Forty patients scheduled for CABG were assigned two groups. Twenty received clonidine 4μg kg ‐1 before surgery, 2 μg after cardiopulmonary 1 when skin sutured. The other 20 served as controls. All anesthetized fentanyl, droperidol, nitrous oxide alcuronium. During 5 min sternotomy,...
The emerging field of digital phenotyping leverages the numerous sensors embedded in a smartphone to better understand its user's current psychological state and behavior, enabling improved health support systems for patients. As part this work, common task is use accelerometer automatically recognize or classify behavior user, known as human activity recognition (HAR). In article, we present deep learning method using Resnet architecture implement HAR popular UniMiB-SHAR public dataset,...