In recent years, a number of wearable approaches have been introduced for objective monitoring cigarette smoking based on hand gestures, breathing or lighting events. However, non-reactive, and accurate measurement everyday consumption in the wild remains challenge. This study utilizes sensor system (Personal Automatic Cigarette Tracker 2.0, PACT2.0) proposes method that integrates information from an instrumented lighter 6-axis Inertial Measurement Unit (IMU) wrist detection The PACT2.0 was...

Obesity and related disorders are thought to have their roots in metabolic “thriftiness” that evolved combat periodic starvation. The association of low birth weight with obesity later life caused a shift the concept from thrifty gene phenotype or anticipatory fetal programming. assumption thriftiness is implicit research. We examine here, help mathematical model, conditions for evolution genes programming thriftiness. model suggests cannot exist stable polymorphic state population....

Seasonal variations in glycemic trends remain largely unstudied despite the growing prevalence of diabetes. To address this gap, our objective is to investigate temporal changes by analyzing intensively sampled blood glucose data from 137 patients (ages 2 76, primarily type 1 diabetes) over course 9 months 4.5 years. From 91,000 days continuous monitor data, we found that control decreases significantly around holidays, with largest decline observed on New Year’s Day among already poor...

Cigarette smoking has severe health impacts on those who smoke and the people around them. Several wearable sensing modalities have recently been investigated to collect objective data daily smoking, including detection of episodes from breathing patterns, hand mouth behavior, characteristic gestures or cigarette lighting events. In order provide new insight into ongoing research collection smoking-related events, this paper proposes a novel method identify events associated changes in heart...

There has been little research objectively examining use-patterns among individuals who use electronic cigarettes (e-cigarettes). The primary aim of this study was to identify patterns e-cigarette and categorize distinct use-groups by analyzing puff topography variables over time. secondary the extent which self-report questions about accurately assess use-behavior.Fifty-seven adult e-cigarette-only users completed a 4-hour ad libitum puffing session. Self-reports were collected both before...

Wearable sensors may be used for the assessment of behavioral manifestations cigarette smoking under natural conditions. This paper introduces a new camera-based sensor system to monitor behavior. The goals this study were (1) identification best position placement on body and (2) feasibility evaluation as free-living smoking-monitoring tool.A was developed with 5MP camera that captured images every second continuously up 26 hours. Five on-body locations tested selection placement. A then...

Wearable sensors have successfully been used in recent studies to monitor cigarette smoking events and analyze people's behavior. Respiratory inductive plethysmography (RIP) has employed track breathing identify characteristic pattern specific smoking. Pattern recognition algorithms such as Support Vector Machine (SVM), Hidden Markov Model, Decision tree, or ensemble approaches smoke inhalations. However, no deep learning approaches, which proved effective many time series datasets, ever...

Traditional metrics of smoke exposure in cigarette smokers are derived either from self-report, biomarkers, or puff topography. Methods involving biomarkers measure concentrations nicotine, nicotine metabolites, carbon monoxide. Puff-topography methods employ portable instruments to count, volume, duration, and inter-puff interval. In this article, we propose calculated the breathing signal describe a novel algorithm for computation these metrics. The Personal Automatic Cigarette Tracker v2...

Maintaining good glycemic control is a central part of diabetes care. However, it can be tedious task because many factors in daily living affect control. To support management, growing number people with are now being prescribed continuous glucose monitors (CGMs) for real-time tracking their blood levels. routine use CGMs also an invaluable source patient-generated data individual and population-level studies. Prior research has shown that festive periods such as holidays notable...

Fat accumulation has been classically considered as a means of energy storage. Obese people are theorized metabolically 'thrifty', saving during times food abundance. However, recent research highlighted many neuro-behavioral and social aspects obesity, with suggestion that abdominal obesity in particular, may have evolved signal. We tested here whether body proportions, perceived signals revealing personality traits. Faceless drawings three male forms namely lean, muscular feminine, each...

Wearable sensors have been proven effective for the objective detection of smoking events and individual puffs. For a precise analysis habit person, these sensing methods need to be thoroughly applied weeks or months. However, limitation sensor battery longevity, concern sensors' timestamp drift parameter calibration, restricted data evaluation process limit this long-term application force subjects, participating in study, frequent returns lab facilities. Also, reports such as statistics...

Recently, body-worn sensor systems have extensively been studied to assess the manifestations of cigarette smoking in free-living. This paper provides a detailed description camera-based wearable system, PACT CAM, that can capture most relevant images at every second from eye level. Along with 5MP camera, CAM includes inertial sensors detect wearer’s motion, micro-SD card capable storing ~1 million images, rechargeable LiPo battery support image for ~32 hours single charge, etc. circuitry...

A comprehensive assessment of cigarette smoking behavior and its effect on health requires a detailed examination smoke exposure. We propose CNN-LSTM-based deep learning architecture named DeepPuff to quantify Respiratory Smoke Exposure Metrics (RSEM). inhalations were detected from the breathing hand gesture sensors Personal Automatic Cigarette Tracker v2 (PACT 2.0). The model for inhalation detection was developed using data collected 190 events 38 medium heavy smokers optimized precision...

Detailed assessment of smoking topography (puffing and post-puffing metrics) can lead to a better understanding factors that influence tobacco use. Research suggests portable mouthpiece-based devices used for puff measurement may alter natural behavior. This paper evaluated the impact device (CReSS Pocket) on puffing & using wearable system, Personal Automatic Cigarette Tracker v2 (PACT 2.0) as reference measurement. Data from 45 smokers who smoked one cigarette in lab an unrestricted number...

Background: The origins of the metabolic syndrome disorders are being increasingly recognized as neuro-behavioural rather than dietary or metabolic. hypothesis implies that there should be detectable behavioural differences between people with and without disorders. We test here whether economic behaviour individuals any differs from healthy age matched controls using ultimatum bargaining game. Methods: game was played by 59 persons at least one four namely type 2 diabetes (T2D),...

Abstract Aging is one of the most intriguing processes biology and despite decades research, many aspects aging are poorly understood. known to occur in bacteria yeast that divide with morphological asymmetry. Morphologically symmetrically dividing such as Escherichia coli were assumed not age until they shown functional asymmetry leading death some cells even exponentially growing cultures. In asymmetrically E. newly synthesized components presumed occupy pole so after division daughter...

Fat accumulation has been classically considered as a means of energy storage. Obese people are theorized metabolically ‘thrifty’, saving during times food abundance. However, recent research highlighted many neuro-behavioral and social aspects obesity, with suggestion that abdominal obesity in particular, may have evolved signal. We tested here whether body proportions, perceived signals revealing personality traits. Faceless drawings three male forms namely lean, muscular feminine, each...

In this study, information from surface electromyogram (sEMG) signals was used to recognize cigarette smoking. The sEMG collected lower arm were in two different ways: (1) as an individual predictor of smoking activity and (2) additional sensor/modality along with the inertial measurement unit (IMU) augment recognition performance. A convolutional a recurrent neural network utilized smoking-related hand gestures. model developed evaluated leave-one-subject-out (LOSO) cross-validation on...