John Lach
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The influence of ambient environmental factors on breakthrough cancer pain: insights from remote health home monitoring and a proposed data analytic approach Open
Background Breakthrough cancer pain (BTCP) is primarily managed at home and can stem from physical exertion and emotional distress triggers. Beyond these triggers, the impact of ambient environment on pain occurrence and intensity has not …
Describing and visualizing the patient and caregiver experience of cancer pain in the home context using ecological momentary assessments Open
Background Pain continues to be a difficult and pervasive problem for patients with cancer, and those who care for them. Remote health monitoring systems (RHMS), such as the Behavioral and Environmental Sensing and Intervention for Cancer …
Towards breath sensors that are self-powered by design Open
Piezoelectric materials are widely used to generate electric charge from mechanical deformation or vice versa. These strategies are increasingly common in implantable medical devices, where sensing must be done on small scales. In the case…
Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study Open
Background Distressing cancer pain remains a serious symptom management issue for patients and family caregivers, particularly within home settings. Technology can support home-based cancer symptom management but must consider the experien…
Results from feasibility and acceptability testing of Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C): A smart health sensing system to support patients and family caregivers in managing cancer pain. (Preprint) Open
BACKGROUND Distressing cancer pain remains a serious symptom management issue for patients and family caregivers, especially in the home setting. Technology can support home-based cancer symptom management but must consider the experience …
View article: Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study
Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study Open
Background The field of dietary assessment has a long history, marked by both controversies and advances. Emerging technologies may be a potential solution to address the limitations of self-report dietary assessment methods. The Monitorin…
Thermal Energy Harvesting Profiles in Residential Settings Open
While relying on energy harvesting to power Internet of Things (IoT) devices eliminates the maintenance burden of battery replacement, energy generation fluctuation constitutes a major source of uncertainty to design reliable self-powered …
View article: Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study
Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study Open
Background Caregiver burden associated with dementia-related agitation is one of the most common reasons for a community-dwelling person living with dementia to transition to a care facility. The Behavioral and Environmental Sensing and In…
View article: Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study (Preprint)
Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study (Preprint) Open
BACKGROUND Caregiver burden associated with dementia-related agitation is one of the most common reasons for a community-dwelling person living with dementia to transition to a care facility. The Behavioral and Environmental Sensing and In…
Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study (Preprint) Open
BACKGROUND The field of dietary assessment has a long history, marked by both controversies and advances. Emerging technologies may be a potential solution to address the limitations of self-report dietary assessment methods. The Monitorin…
Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers Open
Continuous monitoring of breathing rate (BR), minute ventilation (VE), and other respiratory parameters could transform care for and empower patients with chronic cardio-pulmonary conditions, such as asthma. However, the clinical standard …
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case Open
Machine learning has shown successes for complex learning problems in which data/parameters can be multidimensional and too complex for a first-principles based analysis. Some applications that utilize machine learning require human interp…
Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach Open
Background Inadequately managed pain is a serious problem for patients with cancer and those who care for them. Smart health systems can help with remote symptom monitoring and management, but they must be designed with meaningful end-user…
Transfer Learning for Activity Recognition in Mobile Health Open
While activity recognition from inertial sensors holds potential for mobile health, differences in sensing platforms and user movement patterns cause performance degradation. Aiming to address these challenges, we propose a transfer learni…
MFED: A System for Monitoring Family Eating Dynamics Open
Obesity is a risk factor for many health issues, including heart disease, diabetes, osteoarthritis, and certain cancers. One of the primary behavioral causes, dietary intake, has proven particularly challenging to measure and track. Curren…
Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers Open
Breathing rate (BR), minute ventilation (VE), and other respiratory parameters are essential for real-time patient monitoring in many acute health conditions, such as asthma. The clinical standard for measuring respiration, namely Spiromet…
Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach (Preprint) Open
BACKGROUND Inadequately managed pain is a serious problem for patients with cancer and those who care for them. Smart health systems can help with remote symptom monitoring and management, but they must be designed with meaningful end-user…
BESI: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment—Phases 1 and 2 Open
Background and Objectives: Caregiver burden associated with dementia-related agitation is one of the commonest reasons a community-dwelling person with dementia (PWD) transitions to a care facility. Behavioral and Environmental Sensing and…
View article: Enabling Smartphone-based Estimation of Heart Rate
Enabling Smartphone-based Estimation of Heart Rate Open
Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used in a wide variety of applications, such as fitness trackin…
Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study Open
Background An estimated 60%-90% of patients with cancer experience moderate to severe pain. Poorly managed cancer pain negatively affects the quality of life for both patients and their family caregivers and can be a particularly challengi…
View article: Optimizing the energy balance to achieve autonomous self-powering for vigilant health and IoT applications
Optimizing the energy balance to achieve autonomous self-powering for vigilant health and IoT applications Open
With the right combination of disruptive features, such as battery free self-powered operation, multimodal sensing capability, comfort, wearability, and continuous data gathering leading to actionable information, the potential of autonomo…
TEG Data Collection Platform for Wearable Applications Open
Wearable systems have become popular in recent years, especially in health sensing applications where they enable long-term monitoring of patients. However, the majority of these devices are powered by batteries and regularly need to be re…
Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study (Preprint) Open
BACKGROUND An estimated 60%-90% of patients with cancer experience moderate to severe pain. Poorly managed cancer pain negatively affects the quality of life for both patients and their family caregivers and can be a particularly challengi…
P4‐391: CAREGIVER INPUT IN DESIGN AND USE OF NEW TECHNOLOGIES TO REDUCE AGITATION IN DEMENTIA IN THE HOME SETTING Open
Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment (BESI) is a system of body-worn and in-home sensors developed to provide continuous, non-invasive agitation assessment and environmental context monit…
Sensing eating mimicry among family members Open
Family relationships influence eating behavior and health outcomes (e.g., obesity). Because eating is often habitual (i.e., automatically driven by external cues), unconscious behavioral mimicry may be a key interpersonal influence mechani…
Besi: behavior learning and tracking with wearable and in-home sensors - a dementia case-study Open
Sensing driven behavior modeling is vital in health applications. Recent advances in machine learning and sensing technologies accelerate such efforts. While wearables facilitate continuous sensing, they lack the computational resources fo…
Dynamical Properties of Postural Control in Obese Community-Dwelling Older Adults Open
Postural control is a key aspect in preventing falls. The aim of this study was to determine if obesity affected balance in community-dwelling older adults and serve as an indicator of fall risk. The participants were randomly assigned to …
Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis Open
Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure …