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, but, as with any emergent technology, pitfalls come along with the promise and potential.
Meanwhile, technology to remotely monitor respiratory diseases is advancing into other modalities. In recent months, researchers have reported on an artificial intelligence–aided home stethoscope to monitor asthma exacerbations and an ingestible electronic capsule, which has shown some facility for continuous, remote monitoring of sleep apnea and opioid induced respiratory depression.
“Smartphones and wearable technology in health care are here to stay,” Mariam Louis, MD, pulmonologist and sleep medicine physician at the University of Florida Health and chair of the nonrespiratory sleep section of the Sleep Medicine Network with the American College of Chest Physicians, said in an interview.
“It is an exciting field, as it encourages patients to be actively involved in their medical care and can potentially offer more real-time feedback regarding the patient’s medical conditions,” she said. “There are currently many apps that are being used to monitor sleep and other diseases. However, the technology is still rudimentary, and much more research is needed to see if these apps are accurate and dependable.”
Studies in the past few months have reported on the accuracy of 18 wearable sleep-tracker devices, finding they overestimated sleep duration by 19 minutes on average (Sleep. 2023 Nov 8. doi: 10.1093/sleep/zsad288). Researchers in the United States also recently reported on the first human trial of an ingestible pill for monitoring sleep apnea that sends data to a receiving device up to six feet away (Device. 2023 Nov 17. doi: 10.1016/j.device.2023.100125), and a group in Poland reported than an AI-aided home stethoscope provided reliable information on asthma exacerbations in 149 patients (Ann Fam Med. 2023;21:517-25).
Targeting Challenges With Polysomnography
All of these technologies aim to overcome challenges with traditional devices, such as polysomnography (PSG) for evaluating sleep. Jaques Reifman, PhD, a senior research scientist at the U.S. Army Medical Research and Development Command in Fort Detrick, Maryland, led the study of 18 wearable sleep trackers. “Both polysomnography and sleep tracking devices in a sense are attempting to reach the same goal: they’re trying to estimate certain sleep parameters,” Dr. Reifman said in an interview.
“But they use very different signals,” he added, noting that PSG uses electroencephalography (EEG) to measure electrical signals in the skull whereas most sleep trackers used an accelerometer to measure body movement. “As your wrist moves around, it determines if you are moving or not,” Dr. Reifman said.
“Each of them have their plusses and minuses,” he added. PSG, while it’s considered the gold standard for measuring sleep, isn’t a consumer product. “It generally requires a very sophisticated data acquisition system; they are laden with motion artifacts and you have to have software to remove them before you analyze the data,” Dr. Reifman said. “They generally require an expert to interpret the results, although lately there are a few AI-based algorithms that you can provide the EEG signals to and it does score those stages for you”
Sleep trackers, on the other hand, are consumer products. “They can be used outside the lab, and you can use them to record for long periods of time, which is not really possible with PSG,” Dr. Reifman said. “They are low cost, they are easy to use, small size, and folks have developed algorithms that can directly tell the consumer you slept seven hours last night.
“In that sense, they’re comfortable to use as opposed to using an almost-like shower cap with the EEG and face sensors as part of the PSG montage.”
However, what sleep trackers offer in convenience, they lack in accuracy. “There are things they just cannot do based on the limitations of the signals that they use,” Dr. Reifman said.
The study was actually a meta-analysis of 14 different studies that evaluated 18 different sleep-tracking devices in 364 patients. The meta-analysis found wide variability in accuracy between devices; for example, a 75-minute overestimation of sleep with one device and a one-minute overestimation with another.
And different studies reported variations with the same tracker or different models of a tracker. The Fitbit Charge 2, for example, was found to underestimate sleep by 12 minutes in one study and overestimate sleep by 9 minutes in another, while the Fitbit HR Charge was found to overestimate sleep by 52 minutes in a third study.
The meta-analysis found while sleep trackers have high sensitivity (>90%), they had a relatively low specificity (<50%), Dr. Reifman noted.
“Because they are mainly based on the acceleration of your wrist, if you are laying down in bed and motionless after a few minutes the device is going to think you’re asleep when in reality you’re just motionless, daydreaming or trying to go to sleep but not sleeping, so the specificity to sleep is not that high,” he said.
These types of devices still have obstacles to overcome before they’re more widely used, Dr. Louis said. “All of these technologies are proprietary,” she said. “As such, little is known about the algorithms used to come up with the diagnosis or other conclusions. In addition, the majority of the data cannot be analyzed independently by the providers, limiting some of the usage of these devices for now.”
Early Study of Ingestible Capsule
To overcome some of those challenges with collecting data from wearables, researchers from the Massachusetts Institute of Technology and West Virginia University have worked with Celero Systems to develop a pill-sized capsule the patient swallows and which then collects vitals data from inside the gastrointestinal tract. The first in-human study evaluated the device, called the vitals-monitoring (VM) pill, in 10 patients. The study reported the data captured by the pill aligned with that gathered with standard sleep metrics and that it could detect sleep apnea episodes.
The study described the pill as a wireless device that uses a custom configuration of four off-the shelf integrated circuits — a microcontroller, accelerometer, memory component and radio signal — and electronic sensors for ballistic measurements from within the GI tract. The accelerometer measures movement of the abdomen during breathing.
Ingestible devices have actually been around for a couple of decades. The most common, the PillCam, is mostly used by gastroenterologists to capture images of the small intestine.
In the VM pill study, 3 of the 10 human volunteers had a diagnosis of either central or obstructive sleep apnea and wore a continuous positive airway pressure device during the study. The patients also had PSG. The study found that the heart rate accuracy of the VM pill was within 2.5 beats per minute of the PSG measure. The study found no significant difference in the ability of the VM pill to accurately measure respiratory rate with or without CPAP.
Since study completion, the device has been evaluated in another 10 patients, Ben Pless, CEO of Celero Systems, the company developing the VM pill and a coauthor of the study, said in an interview. All patients passed the capsule without any adverse events, he said.
The capsule carries the advantages of an implantable device without the surgery, Mr. Pless said. “In addition to the product being inside body, it is very good at measuring core temperature and, of course, there are diurnal variations in core temperature,” he said. “Even though this was not in the paper, we found the combination of monitoring respiration and core temperature is a very powerful way to do sleep staging in a completely unobtrusive and discrete way.”
The first study evaluated the overnight use of the VM pill, but future studies will evaluate longer duration of the device, first up to a week and then extending out to a month, with the goal of collecting data through the entire duration, Mr. Pless said.
“If you want to do ongoing monitoring for events that may have a low incidence, for example COPD exacerbations or some asthma which does not occur every day and you want to do long-term monitoring, an ingestible format where you ultimately take one capsule and you’re monitored for a month in a completely unobtrusive way would be a great way to do patient monitoring,” he said.
This platform could also collect multinight data for sleep studies, he added.
“While this is an exciting technology, there is much more to diagnosing sleep apnea than just heart rate and breathing,” Dr. Louis said. “During a sleep study, we look at oxygen levels, snoring, and many other variables.”
AI-Aided Stethoscope
The AI-aided stethoscope demonstrated an ability to collect reliable information on asthma exacerbations, the study in Poland found. “The parameters provided are effective for children, especially those younger than 5 years of age,” the study authors wrote.
The study enrolled patients of various ages with asthma, using the AI-aided stethoscope to monitor asthma-related physiologic parameters at home for six months. The stethoscope recorded auscultatory sounds from standard chest point and sent them to a dedicated mobile phone application in which an AI module automatically analyzed the recordings and displayed the results. The researchers trained the AI module using more than 10,000 recordings of respiratory sounds.
The study showed that a host of parameters — wheezes, rhonchi, coarse and fine crackles, heart rate, respiratory rate and inspiration-to-expiration duration ration — measured with the AI-aided stethoscope can detect asthma exacerbations without the need for obtaining peak expiratory flow measurements. It also showed a potential to make asthma diagnosis more straightforward in younger children.
“As we learn more and refine these technologies, we will be able to offer more patient centered and precise medicine to our patients, tailored specifically to their needs,” Dr. Louis said. “AI will certainly play a part in the future.”
Dr. Louis and Dr. Reifman have no relevant relationships to disclose. Mr. Pless is CEO of Celero Systems, a privately held company in Lincoln, Mass.
, but, as with any emergent technology, pitfalls come along with the promise and potential.
Meanwhile, technology to remotely monitor respiratory diseases is advancing into other modalities. In recent months, researchers have reported on an artificial intelligence–aided home stethoscope to monitor asthma exacerbations and an ingestible electronic capsule, which has shown some facility for continuous, remote monitoring of sleep apnea and opioid induced respiratory depression.
“Smartphones and wearable technology in health care are here to stay,” Mariam Louis, MD, pulmonologist and sleep medicine physician at the University of Florida Health and chair of the nonrespiratory sleep section of the Sleep Medicine Network with the American College of Chest Physicians, said in an interview.
“It is an exciting field, as it encourages patients to be actively involved in their medical care and can potentially offer more real-time feedback regarding the patient’s medical conditions,” she said. “There are currently many apps that are being used to monitor sleep and other diseases. However, the technology is still rudimentary, and much more research is needed to see if these apps are accurate and dependable.”
Studies in the past few months have reported on the accuracy of 18 wearable sleep-tracker devices, finding they overestimated sleep duration by 19 minutes on average (Sleep. 2023 Nov 8. doi: 10.1093/sleep/zsad288). Researchers in the United States also recently reported on the first human trial of an ingestible pill for monitoring sleep apnea that sends data to a receiving device up to six feet away (Device. 2023 Nov 17. doi: 10.1016/j.device.2023.100125), and a group in Poland reported than an AI-aided home stethoscope provided reliable information on asthma exacerbations in 149 patients (Ann Fam Med. 2023;21:517-25).
Targeting Challenges With Polysomnography
All of these technologies aim to overcome challenges with traditional devices, such as polysomnography (PSG) for evaluating sleep. Jaques Reifman, PhD, a senior research scientist at the U.S. Army Medical Research and Development Command in Fort Detrick, Maryland, led the study of 18 wearable sleep trackers. “Both polysomnography and sleep tracking devices in a sense are attempting to reach the same goal: they’re trying to estimate certain sleep parameters,” Dr. Reifman said in an interview.
“But they use very different signals,” he added, noting that PSG uses electroencephalography (EEG) to measure electrical signals in the skull whereas most sleep trackers used an accelerometer to measure body movement. “As your wrist moves around, it determines if you are moving or not,” Dr. Reifman said.
“Each of them have their plusses and minuses,” he added. PSG, while it’s considered the gold standard for measuring sleep, isn’t a consumer product. “It generally requires a very sophisticated data acquisition system; they are laden with motion artifacts and you have to have software to remove them before you analyze the data,” Dr. Reifman said. “They generally require an expert to interpret the results, although lately there are a few AI-based algorithms that you can provide the EEG signals to and it does score those stages for you”
Sleep trackers, on the other hand, are consumer products. “They can be used outside the lab, and you can use them to record for long periods of time, which is not really possible with PSG,” Dr. Reifman said. “They are low cost, they are easy to use, small size, and folks have developed algorithms that can directly tell the consumer you slept seven hours last night.
“In that sense, they’re comfortable to use as opposed to using an almost-like shower cap with the EEG and face sensors as part of the PSG montage.”
However, what sleep trackers offer in convenience, they lack in accuracy. “There are things they just cannot do based on the limitations of the signals that they use,” Dr. Reifman said.
The study was actually a meta-analysis of 14 different studies that evaluated 18 different sleep-tracking devices in 364 patients. The meta-analysis found wide variability in accuracy between devices; for example, a 75-minute overestimation of sleep with one device and a one-minute overestimation with another.
And different studies reported variations with the same tracker or different models of a tracker. The Fitbit Charge 2, for example, was found to underestimate sleep by 12 minutes in one study and overestimate sleep by 9 minutes in another, while the Fitbit HR Charge was found to overestimate sleep by 52 minutes in a third study.
The meta-analysis found while sleep trackers have high sensitivity (>90%), they had a relatively low specificity (<50%), Dr. Reifman noted.
“Because they are mainly based on the acceleration of your wrist, if you are laying down in bed and motionless after a few minutes the device is going to think you’re asleep when in reality you’re just motionless, daydreaming or trying to go to sleep but not sleeping, so the specificity to sleep is not that high,” he said.
These types of devices still have obstacles to overcome before they’re more widely used, Dr. Louis said. “All of these technologies are proprietary,” she said. “As such, little is known about the algorithms used to come up with the diagnosis or other conclusions. In addition, the majority of the data cannot be analyzed independently by the providers, limiting some of the usage of these devices for now.”
Early Study of Ingestible Capsule
To overcome some of those challenges with collecting data from wearables, researchers from the Massachusetts Institute of Technology and West Virginia University have worked with Celero Systems to develop a pill-sized capsule the patient swallows and which then collects vitals data from inside the gastrointestinal tract. The first in-human study evaluated the device, called the vitals-monitoring (VM) pill, in 10 patients. The study reported the data captured by the pill aligned with that gathered with standard sleep metrics and that it could detect sleep apnea episodes.
The study described the pill as a wireless device that uses a custom configuration of four off-the shelf integrated circuits — a microcontroller, accelerometer, memory component and radio signal — and electronic sensors for ballistic measurements from within the GI tract. The accelerometer measures movement of the abdomen during breathing.
Ingestible devices have actually been around for a couple of decades. The most common, the PillCam, is mostly used by gastroenterologists to capture images of the small intestine.
In the VM pill study, 3 of the 10 human volunteers had a diagnosis of either central or obstructive sleep apnea and wore a continuous positive airway pressure device during the study. The patients also had PSG. The study found that the heart rate accuracy of the VM pill was within 2.5 beats per minute of the PSG measure. The study found no significant difference in the ability of the VM pill to accurately measure respiratory rate with or without CPAP.
Since study completion, the device has been evaluated in another 10 patients, Ben Pless, CEO of Celero Systems, the company developing the VM pill and a coauthor of the study, said in an interview. All patients passed the capsule without any adverse events, he said.
The capsule carries the advantages of an implantable device without the surgery, Mr. Pless said. “In addition to the product being inside body, it is very good at measuring core temperature and, of course, there are diurnal variations in core temperature,” he said. “Even though this was not in the paper, we found the combination of monitoring respiration and core temperature is a very powerful way to do sleep staging in a completely unobtrusive and discrete way.”
The first study evaluated the overnight use of the VM pill, but future studies will evaluate longer duration of the device, first up to a week and then extending out to a month, with the goal of collecting data through the entire duration, Mr. Pless said.
“If you want to do ongoing monitoring for events that may have a low incidence, for example COPD exacerbations or some asthma which does not occur every day and you want to do long-term monitoring, an ingestible format where you ultimately take one capsule and you’re monitored for a month in a completely unobtrusive way would be a great way to do patient monitoring,” he said.
This platform could also collect multinight data for sleep studies, he added.
“While this is an exciting technology, there is much more to diagnosing sleep apnea than just heart rate and breathing,” Dr. Louis said. “During a sleep study, we look at oxygen levels, snoring, and many other variables.”
AI-Aided Stethoscope
The AI-aided stethoscope demonstrated an ability to collect reliable information on asthma exacerbations, the study in Poland found. “The parameters provided are effective for children, especially those younger than 5 years of age,” the study authors wrote.
The study enrolled patients of various ages with asthma, using the AI-aided stethoscope to monitor asthma-related physiologic parameters at home for six months. The stethoscope recorded auscultatory sounds from standard chest point and sent them to a dedicated mobile phone application in which an AI module automatically analyzed the recordings and displayed the results. The researchers trained the AI module using more than 10,000 recordings of respiratory sounds.
The study showed that a host of parameters — wheezes, rhonchi, coarse and fine crackles, heart rate, respiratory rate and inspiration-to-expiration duration ration — measured with the AI-aided stethoscope can detect asthma exacerbations without the need for obtaining peak expiratory flow measurements. It also showed a potential to make asthma diagnosis more straightforward in younger children.
“As we learn more and refine these technologies, we will be able to offer more patient centered and precise medicine to our patients, tailored specifically to their needs,” Dr. Louis said. “AI will certainly play a part in the future.”
Dr. Louis and Dr. Reifman have no relevant relationships to disclose. Mr. Pless is CEO of Celero Systems, a privately held company in Lincoln, Mass.
, but, as with any emergent technology, pitfalls come along with the promise and potential.
Meanwhile, technology to remotely monitor respiratory diseases is advancing into other modalities. In recent months, researchers have reported on an artificial intelligence–aided home stethoscope to monitor asthma exacerbations and an ingestible electronic capsule, which has shown some facility for continuous, remote monitoring of sleep apnea and opioid induced respiratory depression.
“Smartphones and wearable technology in health care are here to stay,” Mariam Louis, MD, pulmonologist and sleep medicine physician at the University of Florida Health and chair of the nonrespiratory sleep section of the Sleep Medicine Network with the American College of Chest Physicians, said in an interview.
“It is an exciting field, as it encourages patients to be actively involved in their medical care and can potentially offer more real-time feedback regarding the patient’s medical conditions,” she said. “There are currently many apps that are being used to monitor sleep and other diseases. However, the technology is still rudimentary, and much more research is needed to see if these apps are accurate and dependable.”
Studies in the past few months have reported on the accuracy of 18 wearable sleep-tracker devices, finding they overestimated sleep duration by 19 minutes on average (Sleep. 2023 Nov 8. doi: 10.1093/sleep/zsad288). Researchers in the United States also recently reported on the first human trial of an ingestible pill for monitoring sleep apnea that sends data to a receiving device up to six feet away (Device. 2023 Nov 17. doi: 10.1016/j.device.2023.100125), and a group in Poland reported than an AI-aided home stethoscope provided reliable information on asthma exacerbations in 149 patients (Ann Fam Med. 2023;21:517-25).
Targeting Challenges With Polysomnography
All of these technologies aim to overcome challenges with traditional devices, such as polysomnography (PSG) for evaluating sleep. Jaques Reifman, PhD, a senior research scientist at the U.S. Army Medical Research and Development Command in Fort Detrick, Maryland, led the study of 18 wearable sleep trackers. “Both polysomnography and sleep tracking devices in a sense are attempting to reach the same goal: they’re trying to estimate certain sleep parameters,” Dr. Reifman said in an interview.
“But they use very different signals,” he added, noting that PSG uses electroencephalography (EEG) to measure electrical signals in the skull whereas most sleep trackers used an accelerometer to measure body movement. “As your wrist moves around, it determines if you are moving or not,” Dr. Reifman said.
“Each of them have their plusses and minuses,” he added. PSG, while it’s considered the gold standard for measuring sleep, isn’t a consumer product. “It generally requires a very sophisticated data acquisition system; they are laden with motion artifacts and you have to have software to remove them before you analyze the data,” Dr. Reifman said. “They generally require an expert to interpret the results, although lately there are a few AI-based algorithms that you can provide the EEG signals to and it does score those stages for you”
Sleep trackers, on the other hand, are consumer products. “They can be used outside the lab, and you can use them to record for long periods of time, which is not really possible with PSG,” Dr. Reifman said. “They are low cost, they are easy to use, small size, and folks have developed algorithms that can directly tell the consumer you slept seven hours last night.
“In that sense, they’re comfortable to use as opposed to using an almost-like shower cap with the EEG and face sensors as part of the PSG montage.”
However, what sleep trackers offer in convenience, they lack in accuracy. “There are things they just cannot do based on the limitations of the signals that they use,” Dr. Reifman said.
The study was actually a meta-analysis of 14 different studies that evaluated 18 different sleep-tracking devices in 364 patients. The meta-analysis found wide variability in accuracy between devices; for example, a 75-minute overestimation of sleep with one device and a one-minute overestimation with another.
And different studies reported variations with the same tracker or different models of a tracker. The Fitbit Charge 2, for example, was found to underestimate sleep by 12 minutes in one study and overestimate sleep by 9 minutes in another, while the Fitbit HR Charge was found to overestimate sleep by 52 minutes in a third study.
The meta-analysis found while sleep trackers have high sensitivity (>90%), they had a relatively low specificity (<50%), Dr. Reifman noted.
“Because they are mainly based on the acceleration of your wrist, if you are laying down in bed and motionless after a few minutes the device is going to think you’re asleep when in reality you’re just motionless, daydreaming or trying to go to sleep but not sleeping, so the specificity to sleep is not that high,” he said.
These types of devices still have obstacles to overcome before they’re more widely used, Dr. Louis said. “All of these technologies are proprietary,” she said. “As such, little is known about the algorithms used to come up with the diagnosis or other conclusions. In addition, the majority of the data cannot be analyzed independently by the providers, limiting some of the usage of these devices for now.”
Early Study of Ingestible Capsule
To overcome some of those challenges with collecting data from wearables, researchers from the Massachusetts Institute of Technology and West Virginia University have worked with Celero Systems to develop a pill-sized capsule the patient swallows and which then collects vitals data from inside the gastrointestinal tract. The first in-human study evaluated the device, called the vitals-monitoring (VM) pill, in 10 patients. The study reported the data captured by the pill aligned with that gathered with standard sleep metrics and that it could detect sleep apnea episodes.
The study described the pill as a wireless device that uses a custom configuration of four off-the shelf integrated circuits — a microcontroller, accelerometer, memory component and radio signal — and electronic sensors for ballistic measurements from within the GI tract. The accelerometer measures movement of the abdomen during breathing.
Ingestible devices have actually been around for a couple of decades. The most common, the PillCam, is mostly used by gastroenterologists to capture images of the small intestine.
In the VM pill study, 3 of the 10 human volunteers had a diagnosis of either central or obstructive sleep apnea and wore a continuous positive airway pressure device during the study. The patients also had PSG. The study found that the heart rate accuracy of the VM pill was within 2.5 beats per minute of the PSG measure. The study found no significant difference in the ability of the VM pill to accurately measure respiratory rate with or without CPAP.
Since study completion, the device has been evaluated in another 10 patients, Ben Pless, CEO of Celero Systems, the company developing the VM pill and a coauthor of the study, said in an interview. All patients passed the capsule without any adverse events, he said.
The capsule carries the advantages of an implantable device without the surgery, Mr. Pless said. “In addition to the product being inside body, it is very good at measuring core temperature and, of course, there are diurnal variations in core temperature,” he said. “Even though this was not in the paper, we found the combination of monitoring respiration and core temperature is a very powerful way to do sleep staging in a completely unobtrusive and discrete way.”
The first study evaluated the overnight use of the VM pill, but future studies will evaluate longer duration of the device, first up to a week and then extending out to a month, with the goal of collecting data through the entire duration, Mr. Pless said.
“If you want to do ongoing monitoring for events that may have a low incidence, for example COPD exacerbations or some asthma which does not occur every day and you want to do long-term monitoring, an ingestible format where you ultimately take one capsule and you’re monitored for a month in a completely unobtrusive way would be a great way to do patient monitoring,” he said.
This platform could also collect multinight data for sleep studies, he added.
“While this is an exciting technology, there is much more to diagnosing sleep apnea than just heart rate and breathing,” Dr. Louis said. “During a sleep study, we look at oxygen levels, snoring, and many other variables.”
AI-Aided Stethoscope
The AI-aided stethoscope demonstrated an ability to collect reliable information on asthma exacerbations, the study in Poland found. “The parameters provided are effective for children, especially those younger than 5 years of age,” the study authors wrote.
The study enrolled patients of various ages with asthma, using the AI-aided stethoscope to monitor asthma-related physiologic parameters at home for six months. The stethoscope recorded auscultatory sounds from standard chest point and sent them to a dedicated mobile phone application in which an AI module automatically analyzed the recordings and displayed the results. The researchers trained the AI module using more than 10,000 recordings of respiratory sounds.
The study showed that a host of parameters — wheezes, rhonchi, coarse and fine crackles, heart rate, respiratory rate and inspiration-to-expiration duration ration — measured with the AI-aided stethoscope can detect asthma exacerbations without the need for obtaining peak expiratory flow measurements. It also showed a potential to make asthma diagnosis more straightforward in younger children.
“As we learn more and refine these technologies, we will be able to offer more patient centered and precise medicine to our patients, tailored specifically to their needs,” Dr. Louis said. “AI will certainly play a part in the future.”
Dr. Louis and Dr. Reifman have no relevant relationships to disclose. Mr. Pless is CEO of Celero Systems, a privately held company in Lincoln, Mass.