Shyamal Patel

Shyamal Patel
Harvard Medical School | HMS · Department of Physical Medicine and Rehabilitation

PhD

About

73
Publications
39,502
Reads
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4,130
Citations
Citations since 2017
28 Research Items
2586 Citations
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Publications

Publications (73)
Article
Full-text available
Voice analysis is an emerging technology which has the potential to provide low-cost, at-home monitoring of symptoms associated with a variety of health conditions. While voice has received significant attention for monitoring neurological disease, few studies have focused on voice changes related to flu-like symptoms. Herein, we investigate the re...
Article
Full-text available
Objective assessment of Parkinson’s disease symptoms during daily life can help improve disease management and accelerate the development of new therapies. However, many current approaches require the use of multiple devices, or performance of prescribed motor activities, which makes them ill-suited for free-living conditions. Furthermore, there is...
Article
Full-text available
The ability to perform sit-to-stand (STS) transfers has a significant impact on the functional mobility of an individual. Wearable technology has the potential to enable the objective, long-term monitoring of STS transfers during daily life. However, despite several recent efforts, most algorithms for detecting STS transfers rely on multiple sensin...
Article
Full-text available
Background Measuring free-living gait using wearable devices may offer higher granularity and temporal resolution than the current clinical assessments for patients with Parkinson disease (PD). However, increasing the number of devices worn on the body adds to the patient burden and impacts the compliance. Objective This study aimed to investigate...
Article
Full-text available
Technological advances in multimodal wearable and connected devices have enabled the measurement of human movement and physiology in naturalistic settings. The ability to collect continuous activity monitoring data with digital devices in real-world environments has opened unprecedented opportunity to establish clinical digital phenotypes across di...
Article
Full-text available
Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing t...
Preprint
BACKGROUND Measuring free-living gait using wearable devices may offer higher granularity and temporal resolution than the current clinical assessments for patients with Parkinson disease (PD). However, increasing the number of devices worn on the body adds to the patient burden and impacts the compliance. OBJECTIVE This study aimed to investigate...
Article
Full-text available
Background: Traditional measurement systems utilized in clinical trials are limited because they are episodic and thus cannot capture the day-to-day fluctuations and longitudinal changes that frequently affect patients across different therapeutic areas. Objectives: The aim of this study was to collect and evaluate data from multiple devices, in...
Preprint
Full-text available
Existing wearable sensors are either constrained to specific body locations (e.g. waist, wrist) or uncomfortable to wear for long periods of time. In this paper we introduce a new, conformal, commercially-available wearable sensor system, the BioStampRC TM and demonstrate its feasibility for longitudinal tracking of posture and activities of daily...
Article
Introduction: Clinical assessment of motor symptoms in Parkinson's disease (PD) is subjective and may not reflect patient real-world experience. This two-part pilot study evaluated the accuracy of the NIMBLE wearable biosensor patch (containing an accelerometer and electromyography sensor) to record body movements in clinic and home environments v...
Poster
OBJECTIVE: To develop a self-administered instrumented motor exam enabling remote measurement of Parkinson's Disease (PD) signs. BACKGROUND: Current methods for PD assessment in clinical trials rely on rating scales including the Movement Disorder Society Unified Parkinson's Disease Rating Scale motor exam (MDS-UPDRS-III). The MDS-UPDRS-III requir...
Article
Full-text available
Balance impairment is common in individuals with multiple sclerosis (MS). However, objective assessment of balance usually requires clinical expertise and/or the use of expensive and obtrusive measuring equipment. These barriers to the objective assessment of balance may be overcome with the development of a lightweight inertial sensor system. In t...
Article
Full-text available
Gait speed is a powerful clinical marker for mobility impairment in patients suffering from neurological disorders. However, assessment of gait speed in coordination with delivery of comprehensive care is usually constrained to clinical environments and is often limited due to mounting demands on the availability of trained clinical staff. These li...
Patent
Full-text available
A system for controlling a therapeutic device and/or environmental parameters can include one or more body worn sensor devices that detect and report one or more physical, physiological, or biological parameters of a person in an environment. The sensor devices can communicate sensor data indicative of the one or more physical, physiological, or bi...
Patent
Full-text available
A system for development of an algorithm for analysis of sensor data includes one or more wearable sensor devices, a smart device, and a cloud computing platform. The sensors in the wearable sensor device produce sensor data (e.g., physiological data) from a user that can be processed by a software algorithm in the wearable sensor device or by a co...
Patent
Full-text available
An electronic device worn on a user includes one or more accelerometers. The one or more accelerometers generate acceleration information based on acceleration experienced by the electronic device. The electronic device further includes a processor and one or more associated memories, and the one or more associate memories include computer program...
Conference Paper
Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies....
Conference Paper
Sufficient range of motion of the knee joint is necessary for performing many activities of daily living. Ambulatory monitoring of knee function can provide valuable information about progression of diseases like knee osteoarthritis and recovery after surgical interventions like total knee arthroplasty. In this paper, we describe a skin-mounted, co...
Chapter
Wearable sensors have the potential to enable longitudinal, objective health monitoring in patients with chronic diseases, including cardiac rhythm disorders, neurological and movement disorders, diabetes, and pain. However, conventional wearable devices are typically comprised of rigid, packaged electronics, which may compromise overall signal fid...
Conference Paper
Full-text available
Patients with Parkinson’s disease often experience significant changes in the severity of dyskinesia when they undergo titration of their medications. Dyskinesia is marked by involuntary jerking movements that occur randomly in a burst-like fashion. The burst-like nature of such movements makes it difficult to estimate the clinical scores of severi...
Article
We present ultrathin, flexible and stretchable epidermal health monitoring devices that contain physiological sensors, an analog front end processor, a core microprocessor, flash memory module, rechargeable battery, and a wireless communication (Bluetooth low energy) module. The system is mechanically matched to the Young's modulus of human skin an...
Conference Paper
Periodic assessments of motor function in children with Cerebral Palsy can enable clinicians to make more informed decisions about the type and timing of treatment interventions. Current clinical practice is limited to sporadic assessments performed in a clinical environment and hence, not suitable for capturing small changes that occur longitudina...
Article
The clinical management of children with Cerebral Palsy (CP) relies upon periodic assessments of changes in the severity of gait deviations in response to clinical interventions. Current clinical practice is limited to sporadic assessments in a clinical environment and hence it is limited in its ability to estimate the impact of CP-related gait dev...
Article
Full-text available
The objective of this study was the development of a remote monitoring system to monitor and detect simple motor seizures. Using accelerometer-based kinematic sensors, data were gathered from subjects undergoing medication titration at the Beth Israel Deaconess Medical Center. Over the course of the study, subjects repeatedly performed a predefined...
Article
Full-text available
The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the empha...
Article
Clinical assessment scales to evaluate motor abilities in stroke survivors could be used to individualize rehabilitation interventions thus maximizing motor gains. Unfortunately, these scales are not widely utilized in clinical practice because their administration is excessively time-consuming. Wearable sensors could be relied upon to address this...
Article
This paper presents a wearable system for long-term monitoring of knee kinematics in the home and community settings. The system consists of a knee sleeve with embedded sensors to track knee flexion/extension movements and to monitor compliance with the use of the knee sleeve. Knee flexion/extension movement data is captured using a potentiometer....
Conference Paper
Activity recognition can provide important contextual information for the diagnosis and treatment of several medical conditions. In COPD patients, measurement of long term physical activity level, combined with physiological parameters such as heart rate and respiration rate can be used for early detection of exacerbations. Using wearable sensors,...
Article
Objective longitudinal monitoring of symptoms related motor fluctuations can provide valuable information for the clinical management of patients with Parkinson's disease. Current methods for long-term monitoring of motor fluctuations, such as patient diaries, are ineffective due to their time consuming and subjective nature. Researchers have shown...
Article
Monitoring patients' physiological signals during their daily activities in the home environment is one of the challenge of the health care. New ultra-low-power wireless technologies could help to achieve this goal. In this paper we present a low-power, multi-modal, wearable sensor platform for the simultaneous recording of activity and physiologic...
Article
Over the last decade, significant progress has been made in the development of wearable sensor systems for continuous health monitoring in the home and community settings. One of the main areas of application for these wearable sensor systems is in detecting emergency events such as falls. Wearable sensors like accelerometers are increasingly being...
Article
Clinical assessment scales to evaluate motor abilities in stroke survivors could be used to individualize rehabilitation interventions thus maximizing motor gains. Unfortunately, these scales are not widely utilized in clinical practice because their administration is excessively time-consuming. Wearable sensors could be relied upon to address this...
Article
Quantitative assessment of motor abilities in stroke survivors undergoing rehabilitation can be a valuable feedback to guide the rehabilitation process. The Functional Ability Scale (FAS) part of Wolf Motor Function Test (WMFT) is used to evaluate movement quality during performance of a set of functional motor tasks. In this paper, we show that in...
Article
Full-text available
Objective long-term health monitoring can improve the clinical management of several medical conditions ranging from cardiopulmonary diseases to motor disorders. In this paper, we present our work toward the development of a home-monitoring system. The system is currently used to monitor patients with Parkinson's disease who experience severe motor...
Conference Paper
Full-text available
We present MercuryLive, a web-enhanced extension to a body sensor network platform for continuous home-based body motion sensing, interactive supervised data collection sessions, and long-term activity data analysis. The major goal of MercuryLive is to enable practical long-term health monitoring in a home setting and henceforth reduce the effort a...
Article
Quantitative assessment of motor abilities in stroke survivors can provide valuable feedback to guide clinical interventions. Numerous clinical scales were developed in the past to assess levels of impairment and functional limitation in individuals after stroke. The Functional Ability Scale is one of these clinical scales. It is a 75-point scale u...
Article
Full-text available
This paper presents the results of a pilot study to assess the feasibility of using accelerometer data to estimate the severity of symptoms and motor complications in patients with Parkinson's disease. A support vector machine (SVM) classifier was implemented to estimate the severity of tremor, bradykinesia and dyskinesia from accelerometer data fe...
Article
Full-text available
The clinical management of children with cerebral palsy (CP) relies on monitoring changes in the severity of gait abnormalities and on planning appropriate clinical interventions. Currently available technology does not make it possible to perform clinical gait evaluations as often as it would be desirable from a clinical standpoint. The use of wea...
Conference Paper
Parkinson's disease is a neurodegenerative movement disorder resulting in rigidity, bradykinesia (slowness), tremor and gait disorder. Deep brain stimulation (DBS) of the subthalamic nucleus has been shown to be effective in managing symptoms, but quantitative methods to facilitate the adjustment of the stimulator settings are needed. In this paper...
Conference Paper
Chronic obstructive pulmonary disease (COPD) is a major public health problem. Early detection and treatment of an exacerbation in the outpatient setting are important to prevent worsening of clinical status and need for emergency room care or hospital admission. In this study we use accelerometers to capture motion data; and heart rate and respira...
Conference Paper
Full-text available
Epileptic seizures usually consist of stereotyped motor movements in association with characteristic changes in the electroencephalogram (EEG). Accurate recognition and quantification of seizures in patients with epilepsy is essential for diagnosis, selection of treatment and assessing the effects of therapy. In this paper, we present some prelimin...
Conference Paper
Sensorized garments represent a breakthrough in wearable sensor technology. Sensorized garments have potential for the development of exciting new applications in rehabilitation. In this paper, we present our work toward the development of a system based on a sensorized glove that tracks hand movements during hand grasp/release tasks. The project a...
Article
Deep brain stimulation of the subthalamic nucleus (STN DBS) is a surgical procedure used to treat the debilitating symptoms of advanced Parkinson's disease (PD); characterized by tremor, slowness of movement (bradykinesia) and involuntary movement (dyskinesia). The selection of optimal stimulation parameters is based upon subjective and qualitative...
Conference Paper
Full-text available
This paper describes Mercury, a wearable, wireless sen- sor platform for motion analysis of patients being treated for neuromotor disorders, such as Parkinson's Disease, epilepsy, and stroke. In contrast to previous systems intended for short-term use in a laboratory, Mercury is designed to sup- port long-term, longitudinal data collection on patie...
Article
This paper is focused on the analysis of data obtained from wearable sensors in patients with Parkinson's Disease. We implemented Support Vector Machines (SVM's) to predict clinical scores of the severity of Parkinsonian symptoms and motor complications. We determined the optimal window length to extract features from the sensor data. Furthermore,...
Article
Full-text available
The work presented in this paper concerns the development of a body sensor network to monitor changes in the severity of symptoms in patients with Parkinson's disease. We analyzed the impact of different features derived from wearable sensor (i.e. accelerometer) data on the reliability of the prediction of clinical scores that capture the severity...
Conference Paper
Full-text available
The goal of this project is to develop wireless sensors and analysis methods to monitor patients with various motor dysfunctions. We are currently targeting two specific applications: facilitating medication titration in patients with Parkinson's disease and assessing motor recovery in stroke survivors undergoing rehabilitation. In our vision, the...
Conference Paper
Full-text available
This paper presents a novel, smart and portable Active Knee Rehabilitation Orthotic Device (AKROD) designed to train stroke patients to correct knee hyperextension during stance and stiff-legged gait (defined as reduced knee flexion during swing). The knee brace provides variable damping controlled in ways that foster motor recovery in stroke patie...
Article
We present work to develop a wireless wearable sensor system for monitoring patients with Parkinson's disease (PD) in their homes. For monitoring outside the laboratory, a wearable system must not only record data, but also efficiently process data on-board. This manuscript details the analysis of data collected using tethered wearable sensors. Opt...
Article
Parkinson's disease is a common movement disorder and affects many older adults. The use of deep brain stimulation has been shown to have good results in symptom reduction, but quantitative methods for the adjustment of deep brain stimulator parameters are required. In this paper, we show that features derived from wearable sensors (accelerometers)...
Conference Paper
The aim of this study is to identify movement characteristics associated with motor fluctuations in patients with Parkinson's disease by relying on wearable sensors. Improved methods of assessing longitudinal changes in Parkinson's disease would enable optimization of treatment and maximization of patient function. We used eight accelerometers on t...
Article
Full-text available
Functional recovery of an impaired gait pattern is a common goal for stroke patients in their rehabilitation. Robotic and mechatronic devices offer a means of facilitating and enhancing gait retraining practices undertaken by clinicians. A new active knee orthosis has been developed for gait retraining of stroke patients that may fulfil this role....
Conference Paper
In this paper we address the problem of fault diagnostics in industrial robots. The goal was to develop a method that automatically, accurately and in a generic way could identify and classify faults once they occur for any type of industrial robot used. Although a large number of diagnosis methods and relevant applications for industrial equipment...

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